big data engineer

CRUNCHTIME

<div><div><p>Global restaurant brands run their operation on the Crunchtime platform. Delivering a consistent guest experience across every location and managing food and labor costs are at the core of how Crunchtime&rsquo;s software is used today in over 150,000 locations across 100+ countries by the world&rsquo;s top restaurant and foodservice operators. Customers including Chipotle, Culver&rsquo;s, Domino&rsquo;s, Dunkin&rsquo;, Five Guys and P.F. Chang&rsquo;s rely on our top-ranked platform which now includes Zenput to manage inventory, staff scheduling, learning and development, food safety, operational tasks and audits.</p>
</div><div><h3 class="jobSectionHeader"><b>About the role</b></h3>
<p>Crunchtime is looking for a highly motivated Data Engineer to join our Connex product development team. The Connex team creates bi-directional real-time integration to every POS that our customers deploy. The ideal candidate is someone who enjoys integration, continual learning, and a fast-paced development environment. If you possess a drive for excellence, thrive in a fast-paced environment, and desire to be part of a team that is dedicated to being an industry leader, then we want to hear from you.</p>
<h3 class="jobSectionHeader"><b>What you&rsquo;ll do as a Data Engineer</b></h3>
<ul><li>Own the planning, estimation, and delivery of data engineering tasks and projects, partnering with project management to track progress, milestones, and risks.</li>
<li>Design and implement scalable data pipeline solutions by analyzing customer data, identifying patterns, and performing data profiling to reverse engineer schemas and APIs.</li>
<li>Build, optimize, and maintain high-performance data pipelines, delivery networks, and bi-directional data integrations between customers and partners.</li>
<li>Ensure data reliability and quality through robust development of automated unit, integration, and regression tests.</li>
<li>Troubleshoot complex data and integration issues, providing escalated technical support and driving root cause resolution.</li>
<li>Collaborate cross-functionally to deliver integration solutions, and provide technical guidance, training, and documentation to internal teams and stakeholders.</li>
<li>Monitor data pipeline health, proactively identify performance or reliability issues, and implement improvements to ensure system stability.</li>
<li>Contribute to best practices in data engineering, including code quality, testing standards, and scalable architecture.</li>
</ul><h3 class="jobSectionHeader"><b>What we&rsquo;re looking for</b></h3>
<ul><li>3+ years of professional experience in data engineering or software development with strong proficiency in SQL and Python.</li>
<li>Strong analytical and problem-solving skills with attention to detail and ability to work with complex datasets.</li>
<li>Experience designing and building scalable ETL/ELT pipelines, including working with APIs and handling structured and semi-structured data.</li>
<li>Solid understanding of data structures, algorithms, and data modeling concepts.</li>
<li>Experience with data validation, testing strategies (manual and automated), and ensuring data quality.</li>
<li>Strong communication and interpersonal skills, with the ability to work across teams and explain technical concepts clearly.</li>
<li>Ability to take ownership of tasks end-to-end, manage priorities, and deliver in a fast-paced environment.</li>
<li>Experience optimizing data pipelines for performance, scalability, and reliability.</li>
</ul><h3 class="jobSectionHeader"><b>What you&rsquo;ll get</b></h3>
<ul><li>Great mission-driven team members from diverse backgrounds with a strong company culture</li>
<li>Competitive pay</li>
<li>Unlimited PTO</li>
<li>Paid company holidays</li>
<li>Yearly team off-sites</li>
<li>International travel opportunities</li>
<li>Medical, dental, and vision benefits (FSA, HSA &amp; HRA options)</li>
<li>Basic &amp; Voluntary Life Insurance</li>
<li>401k employer match</li>
<li>Wellness benefits (Headspace, OneMedical, Omada, Ginger.io, Gympass, Carrot)</li>
<li>Commuter benefits</li>
<li>Work in an open environment on solutions that are reshaping the way businesses operate</li>
<li>Fun team events</li>
<li>Ability to have a big impact</li>
<li>10 weeks of paid parental leave</li>
<li>Fitness reimbursement</li>
<li>Learning &amp; development funds</li>
</ul><div><b>Compensation:</b></div>
<div>The annual base compensation range for this position is $75,000 - $105,000. The reasonably estimated total cash compensation (base + variable) range for this full-time position will be $80,625 - $112,875.</div><br>
<div></div><div>Actual compensation is based on factors unique to each candidate, including, but not limited to: job-related skills, qualifications, education, experience, and location. Crunchtime has a location-based compensation system, so someone doing the same job in a different city might have a different pay range.</div><br>
<div></div><div><b>Accessibility Accommodation Statement</b></div>
<div>Crunchtime complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact recruiting@crunchtime.com.</div><br>
</div><div></div><div><p><b>Equal Employment Opportunity Statement</b></p>
<p>At Crunchtime, we are an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic.</p>
<p>We have an inclusive and diverse workplace where every team member is respected and valued. As a global software development company, we believe that our diverse employee population enriches our work environment.</p>
<p>Join us in our mission to provide the best software solutions to the food industry. We encourage you to apply regardless of your background or experience; even if you don&rsquo;t meet all the qualifications, because we believe unique experiences and perspectives make us a stronger team.</p></div></div>

Data Engineer II

4P Consulting Inc.

<div><div><b>Data Engineer IV &ndash; Modern Enterprise / Lakehouse / AI-Assisted
</b><p><b>Experience Level: </b>5+ Years
<br>
<b>Work Model: </b>On-Prem + Cloud Hybrid Environments
</p><p>Location- Atlanta, GA
</p><p>Client- Georgia Power
</p><p></p><h2 class="jobSectionHeader"><b>Position Overview
</b></h2><p>The Data Engineer IV is a modern enterprise data engineering professional responsible for building, optimizing, and maintaining scalable data platforms in a hybrid on-premises and cloud environment. This role supports enterprise analytics, reporting, and AI-driven initiatives using a Lakehouse architecture, with Databricks as the strategic future-state platform.
</p><p>The ideal candidate combines strong SQL and data modeling expertise with modern Spark-based technologies and familiarity with AI-assisted development tools.
</p><p></p><h2 class="jobSectionHeader"><b>Core Responsibilities
</b></h2><h3 class="jobSectionHeader"><b>Enterprise Data Engineering
</b></h3><ul><li>Design, build, and maintain batch and/or streaming data pipelines
</li><li>Develop and optimize ETL processes using SSIS or similar tools
</li><li>Work with relational databases, data lakes, and NoSQL systems
</li><li>Normalize and model data using:
<ul><li>Star schema
</li><li>Dimensional modeling techniques
</li></ul></li><li>Transform raw data into curated, reusable datasets
</li></ul><p></p><h3 class="jobSectionHeader"><b>Lakehouse &amp; Modern Data Platforms
</b></h3><ul><li>Develop and support solutions on Spark-based platforms
</li><li>Work with Databricks Lakehouse architecture (primary future-state platform)
</li><li>Support analytics and reporting via Power BI
</li><li>Manage data orchestration workflows (e.g., Airflow or equivalent)
</li><li>Implement CI/CD and Git-based workflows for data pipelines
</li></ul><p></p><h3 class="jobSectionHeader"><b>AI-Assisted &amp; Modern Engineering Practices
</b></h3><ul><li>Leverage AI tools or copilots to assist with:
<ul><li>SQL development
</li><li>Pipeline generation
</li><li>Testing
</li><li>Documentation
</li></ul></li><li>Explore automation or AI agents to streamline engineering workflows
</li></ul><p></p><h2 class="jobSectionHeader"><b>Technical Skills Required
</b></h2><h3 class="jobSectionHeader"><b>Core Technologies
</b></h3><ul><li>Strong SQL and data modeling experience
</li><li>Hands-on experience with:
<ul><li>SQL Server
</li><li>SSIS (or similar ETL tools)
</li><li>Power BI
</li></ul></li><li>Experience with Spark-based platforms
</li><li>Working knowledge of Databricks (preferred strategic platform)
</li></ul><h3 class="jobSectionHeader"><b>Data Engineering Competencies
</b></h3><ul><li>Batch and real-time pipeline development
</li><li>Data quality and validation practices
</li><li>Relational and NoSQL systems
</li><li>Orchestration tools (Airflow or equivalent)
</li><li>CI/CD pipelines
</li><li>Git-based version control
</li></ul><p></p><h2 class="jobSectionHeader"><b>Soft Skills &amp; Work Environment Fit
</b></h2><ul><li>Strong written and verbal communication skills
</li><li>Comfortable collaborating with engineers and managers in:
<ul><li>Electric utility
</li><li>Operations-heavy domains
</li></ul></li><li>Able to operate in regulated, production-critical enterprise environments
</li><li>Analytical, detail-oriented, and solution-focused
</li></ul><p></p><h2 class="jobSectionHeader"><b>Experience Requirements
</b></h2><ul><li>5+ years in data engineering or related software engineering roles
</li><li>Experience in enterprise environments with hybrid on-prem and cloud systems</li></ul></div></div>

Data Engineer IV- 4P/619

BLOC Resources, LLC

<div><div><p><b>Position Overview</b></p>
</div>
<div><p>Bloc Resources is seeking an experienced <b>Data Engineer 4</b> to support enterprise-scale data systems within a modern analytics and data architecture environment. This role focuses on designing, building, and optimizing scalable data pipelines that support operational analytics, reporting, and advanced data science initiatives across the organization.</p>
</div>
<div><p>The ideal candidate will bring strong experience in both traditional enterprise data environments and modern <b>lakehouse</b><b> architectures</b>, with hands-on expertise in SQL, ETL development, and cloud-based data platforms such as Databricks. This role also requires the ability to operate in a regulated, production-critical environment supporting utility and operations data systems.</p>
</div><div>
<p><b>Key Responsibilities</b></p>
</div>
<div><p><b>Data Pipeline Development &amp; Engineering</b></p>
</div>
<div><ul><li><div>Design, build, and maintain scalable batch and streaming data pipelines</div>
</li></ul>
</div><div><ul><li><div>Transform raw structured and unstructured data into curated, analytics-ready datasets</div>
</li></ul>
</div><div><ul><li><div>Develop robust ETL/ELT processes using <b>SSIS or equivalent tools</b></div>
</li></ul>
</div><div><ul><li><div>Optimize data workflows for performance, reliability, and scalability</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Data Architecture &amp; Modeling</b></p>
</div>
<div><ul><li><div>Develop and maintain <b>data models</b>, including star schema and dimensional models</div>
</li></ul>
</div><div><ul><li><div>Work with relational, NoSQL, and data lake environments</div>
</li></ul>
</div><div><ul><li><div>Support enterprise data architecture modernization initiatives toward <b>Databricks Lakehouse</b></div>
</li></ul>
</div><div><ul><li><div>Ensure consistency, accuracy, and integrity of enterprise data assets</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Database &amp; Analytics Support</b></p>
</div>
<div><ul><li><div>Work extensively with <b>SQL Server</b> and complex SQL queries</div>
</li></ul>
</div><div><ul><li><div>Support analytics and reporting solutions using <b>Power BI</b></div>
</li></ul>
</div><div><ul><li><div>Partner with business and analytics teams to deliver data solutions that meet reporting needs</div>
</li></ul>
</div><div><ul><li><div>Ensure high data quality through validation, testing, and monitoring</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Cloud &amp; Modern Data Platforms</b></p>
</div>
<div><ul><li><div>Support migration and development efforts on <b>Databricks / Lakehouse architecture</b></div>
</li></ul>
</div><div><ul><li><div>Work with distributed data processing frameworks such as <b>Apache Spark</b></div>
</li></ul>
</div><div><ul><li><div>Collaborate on modernization of legacy ETL and data processing systems</div>
</li></ul>
</div><div><ul><li><div>Integrate cloud and on-premise data systems in hybrid environments</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Data Engineering Operations</b></p>
</div>
<div><ul><li><div>Monitor, troubleshoot, and optimize production data pipelines</div>
</li></ul>
</div><div><ul><li><div>Implement orchestration workflows using tools such as <b>Airflow or equivalents</b></div>
</li></ul>
</div><div><ul><li><div>Ensure reliability and uptime of critical data systems</div>
</li></ul>
</div><div><ul><li><div>Participate in on-call or production support activities as needed</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Automation &amp; AI-Assisted Engineering</b></p>
</div>
<div><ul><li><div>Utilize AI tools and copilots to enhance productivity in:</div>
</li></ul>
</div><div><ul><li><div>SQL development</div>
</li></ul>
</div><div><ul><li><div>Pipeline creation</div>
</li></ul>
</div><div><ul><li><div>Testing and validation</div>
</li></ul>
</div><div><ul><li><div>Documentation generation</div>
</li></ul>
</div><div><ul><li><div>Explore automation opportunities using AI agents and modern engineering tools</div>
</li></ul>
</div><div><ul><li><div>Support continuous improvement of data engineering workflows</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Collaboration &amp; Stakeholder Engagement</b></p>
</div>
<div><ul><li><div>Work closely with engineers, analysts, and business stakeholders</div>
</li></ul>
</div><div><ul><li><div>Translate business requirements into technical data solutions</div>
</li></ul>
</div><div><ul><li><div>Communicate technical concepts clearly to both technical and non-technical audiences</div>
</li></ul>
</div><div><ul><li><div>Operate effectively in a regulated, utility-focused enterprise environment</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Required Education and Experience</b></p>
</div>
<div><ul><li><div>Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or related field (preferred)</div>
</li></ul>
</div><div><ul><li><div>5+ years of experience in data engineering or software/data development roles</div>
</li></ul>
</div><div><ul><li><div>Experience working in enterprise environments with hybrid (on-prem + cloud) systems</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Required Skills and Abilities</b></p>
</div>
<div><ul><li><div>Strong proficiency in <b>SQL and data modeling (dimensional/star schema)</b></div>
</li></ul>
</div><div><ul><li><div>Hands-on experience with <b>SQL Server</b></div>
</li></ul>
</div><div><ul><li><div>Experience building ETL pipelines using <b>SSIS or similar tools</b></div>
</li></ul>
</div><div><ul><li><div>Strong understanding of data warehousing and analytics architecture</div>
</li></ul>
</div><div><ul><li><div>Experience supporting enterprise reporting solutions (Power BI preferred)</div>
</li></ul>
</div><div><ul><li><div>Ability to troubleshoot and optimize complex data systems</div>
</li></ul>
</div><div><ul><li><div>Strong analytical and problem-solving skills</div>
</li></ul>
</div><div><ul><li><div>Excellent communication skills and ability to collaborate across teams</div>
</li></ul>
</div><div><ul><li><div>Ability to work in regulated, production-critical environments</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Technical Skills &amp; Competencies</b></p>
</div>
<div><ul><li><div>SQL (Advanced)</div>
</li></ul>
</div><div><ul><li><div>SQL Server (Advanced)</div>
</li></ul>
</div><div><ul><li><div>SSIS / ETL Tools</div>
</li></ul>
</div><div><ul><li><div>Databricks / Spark / Lakehouse Architecture</div>
</li></ul>
</div><div><ul><li><div>Power BI (Reporting &amp; Analytics)</div>
</li></ul>
</div><div><ul><li><div>Data Modeling (Star Schema / Dimensional Modeling)</div>
</li></ul>
</div><div><ul><li><div>Python (preferred)</div>
</li></ul>
</div><div><ul><li><div>CI/CD and Git-based workflows</div>
</li></ul>
</div><div><ul><li><div>Orchestration tools (Airflow or equivalent)</div>
</li></ul>
</div><div><ul><li><div>Data lakes, relational databases, and NoSQL systems</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Preferred Qualifications</b></p>
</div>
<div><ul><li><div>Experience with <b>cloud data platforms (Azure, Databricks, or similar)</b></div>
</li></ul>
</div><div><ul><li><div>Experience in <b>utility, energy, or operations-based data environments</b></div>
</li></ul>
</div><div><ul><li><div>Exposure to AI-assisted development tools and automation workflows</div>
</li></ul>
</div><div><ul><li><div>Experience modernizing legacy ETL systems into cloud-native architectures</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Work Environment</b></p>
</div>
<div><ul><li><div>Hybrid or on-site work at Atlanta, GA location</div>
</li></ul>
</div><div><ul><li><div>Collaborative enterprise environment supporting engineering and operations teams</div>
</li></ul>
</div><div><ul><li><div>Work within a regulated, mission-critical data ecosystem</div>
</li></ul>
</div><div><ul><li><div>Occasional production support responsibilities may be required</div>
</li></ul>
</div><div><p><b>Job Title: Data Engineer 4 (Enterprise / Lakehouse / AI-Enabled Data Engineering)</b></p>
</div>
<div><p><b>Location:</b> 241 Ralph McGill Blvd, Atlanta, GA 30308, United States<br>
<b>Pay Rate:</b> $65.00 &ndash; $68.08 per hour<br>
<b>Job Type:</b> Contract (On-Site / Hybrid)<br>
<b>Company:</b> Bloc Resources</p></div><div><br>
<p>
</p></div><div><p><b>Position Overview</b></p>
</div>
<div><p>Bloc Resources is seeking an experienced <b>Data Engineer 4</b> to support enterprise-scale data systems within a modern analytics and data architecture environment. This role focuses on designing, building, and optimizing scalable data pipelines that support operational analytics, reporting, and advanced data science initiatives across the organization.</p>
</div>
<div><p>The ideal candidate will bring strong experience in both traditional enterprise data environments and modern <b>lakehouse</b><b> architectures</b>, with hands-on expertise in SQL, ETL development, and cloud-based data platforms such as Databricks. This role also requires the ability to operate in a regulated, production-critical environment supporting utility and operations data systems.</p></div><div><br>
<p>
</p></div><div><p><b>Key Responsibilities</b></p>
</div>
<div><p><b>Data Pipeline Development &amp; Engineering</b></p>
</div>
<div><ul><li><div>Design, build, and maintain scalable batch and streaming data pipelines</div>
</li></ul>
</div><div><ul><li><div>Transform raw structured and unstructured data into curated, analytics-ready datasets</div>
</li></ul>
</div><div><ul><li><div>Develop robust ETL/ELT processes using <b>SSIS or equivalent tools</b></div>
</li></ul>
</div><div><ul><li><div>Optimize data workflows for performance, reliability, and scalability</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Data Architecture &amp; Modeling</b></p>
</div>
<div><ul><li><div>Develop and maintain <b>data models</b>, including star schema and dimensional models</div>
</li></ul>
</div><div><ul><li><div>Work with relational, NoSQL, and data lake environments</div>
</li></ul>
</div><div><ul><li><div>Support enterprise data architecture modernization initiatives toward <b>Databricks Lakehouse</b></div>
</li></ul>
</div><div><ul><li><div>Ensure consistency, accuracy, and integrity of enterprise data assets</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Database &amp; Analytics Support</b></p>
</div>
<div><ul><li><div>Work extensively with <b>SQL Server</b> and complex SQL queries</div>
</li></ul>
</div><div><ul><li><div>Support analytics and reporting solutions using <b>Power BI</b></div>
</li></ul>
</div><div><ul><li><div>Partner with business and analytics teams to deliver data solutions that meet reporting needs</div>
</li></ul>
</div><div><ul><li><div>Ensure high data quality through validation, testing, and monitoring</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Cloud &amp; Modern Data Platforms</b></p>
</div>
<div><ul><li><div>Support migration and development efforts on <b>Databricks / Lakehouse architecture</b></div>
</li></ul>
</div><div><ul><li><div>Work with distributed data processing frameworks such as <b>Apache Spark</b></div>
</li></ul>
</div><div><ul><li><div>Collaborate on modernization of legacy ETL and data processing systems</div>
</li></ul>
</div><div><ul><li><div>Integrate cloud and on-premise data systems in hybrid environments</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Data Engineering Operations</b></p>
</div>
<div><ul><li><div>Monitor, troubleshoot, and optimize production data pipelines</div>
</li></ul>
</div><div><ul><li><div>Implement orchestration workflows using tools such as <b>Airflow or equivalents</b></div>
</li></ul>
</div><div><ul><li><div>Ensure reliability and uptime of critical data systems</div>
</li></ul>
</div><div><ul><li><div>Participate in on-call or production support activities as needed</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Automation &amp; AI-Assisted Engineering</b></p>
</div>
<div><ul><li><div>Utilize AI tools and copilots to enhance productivity in:</div>
</li></ul>
</div><div><ul><li><div>SQL development</div>
</li></ul>
</div><div><ul><li><div>Pipeline creation</div>
</li></ul>
</div><div><ul><li><div>Testing and validation</div>
</li></ul>
</div><div><ul><li><div>Documentation generation</div>
</li></ul>
</div><div><ul><li><div>Explore automation opportunities using AI agents and modern engineering tools</div>
</li></ul>
</div><div><ul><li><div>Support continuous improvement of data engineering workflows</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Collaboration &amp; Stakeholder Engagement</b></p>
</div>
<div><ul><li><div>Work closely with engineers, analysts, and business stakeholders</div>
</li></ul>
</div><div><ul><li><div>Translate business requirements into technical data solutions</div>
</li></ul>
</div><div><ul><li><div>Communicate technical concepts clearly to both technical and non-technical audiences</div>
</li></ul>
</div><div><ul><li><div>Operate effectively in a regulated, utility-focused enterprise environment</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Required Education and Experience</b></p>
</div>
<div><ul><li><div>Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or related field (preferred)</div>
</li></ul>
</div><div><ul><li><div>5+ years of experience in data engineering or software/data development roles</div>
</li></ul>
</div><div><ul><li><div>Experience working in enterprise environments with hybrid (on-prem + cloud) systems</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Required Skills and Abilities</b></p>
</div>
<div><ul><li><div>Strong proficiency in <b>SQL and data modeling (dimensional/star schema)</b></div>
</li></ul>
</div><div><ul><li><div>Hands-on experience with <b>SQL Server</b></div>
</li></ul>
</div><div><ul><li><div>Experience building ETL pipelines using <b>SSIS or similar tools</b></div>
</li></ul>
</div><div><ul><li><div>Strong understanding of data warehousing and analytics architecture</div>
</li></ul>
</div><div><ul><li><div>Experience supporting enterprise reporting solutions (Power BI preferred)</div>
</li></ul>
</div><div><ul><li><div>Ability to troubleshoot and optimize complex data systems</div>
</li></ul>
</div><div><ul><li><div>Strong analytical and problem-solving skills</div>
</li></ul>
</div><div><ul><li><div>Excellent communication skills and ability to collaborate across teams</div>
</li></ul>
</div><div><ul><li><div>Ability to work in regulated, production-critical environments</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Technical Skills &amp; Competencies</b></p>
</div>
<div><ul><li><div>SQL (Advanced)</div>
</li></ul>
</div><div><ul><li><div>SQL Server (Advanced)</div>
</li></ul>
</div><div><ul><li><div>SSIS / ETL Tools</div>
</li></ul>
</div><div><ul><li><div>Databricks / Spark / Lakehouse Architecture</div>
</li></ul>
</div><div><ul><li><div>Power BI (Reporting &amp; Analytics)</div>
</li></ul>
</div><div><ul><li><div>Data Modeling (Star Schema / Dimensional Modeling)</div>
</li></ul>
</div><div><ul><li><div>Python (preferred)</div>
</li></ul>
</div><div><ul><li><div>CI/CD and Git-based workflows</div>
</li></ul>
</div><div><ul><li><div>Orchestration tools (Airflow or equivalent)</div>
</li></ul>
</div><div><ul><li><div>Data lakes, relational databases, and NoSQL systems</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Preferred Qualifications</b></p>
</div>
<div><ul><li><div>Experience with <b>cloud data platforms (Azure, Databricks, or similar)</b></div>
</li></ul>
</div><div><ul><li><div>Experience in <b>utility, energy, or operations-based data environments</b></div>
</li></ul>
</div><div><ul><li><div>Exposure to AI-assisted development tools and automation workflows</div>
</li></ul>
</div><div><ul><li><div>Experience modernizing legacy ETL systems into cloud-native architectures</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Work Environment</b></p>
</div>
<div><ul><li><div>Hybrid or on-site work at Atlanta, GA location</div>
</li></ul>
</div><div><ul><li><div>Collaborative enterprise environment supporting engineering and operations teams</div>
</li></ul>
</div><div><ul><li><div>Work within a regulated, mission-critical data ecosystem</div>
</li></ul>
</div><div><ul><li><div>Occasional production support responsibilities may be required</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Compensation &amp; Benefits</b></p>
</div>
<div><ul><li><div>Hourly pay rate of <b>$65.00 &ndash; $68.08 per hour</b></div>
</li></ul>
</div><div><ul><li><div>Competitive compensation for senior-level data engineering expertise</div>
</li></ul>
</div><div><ul><li><div>Access to <b>BLOC Resources contractor support services</b>, including onboarding and recruiter assistance</div>
</li></ul>
</div><div><ul><li><div>Opportunity to work on enterprise-scale modernization and lakehouse transformation initiatives</div>
</li></ul>
</div><div><ul><li><div>Exposure to cutting-edge data engineering and AI-assisted workflows</div>
</li></ul>
</div><div><ul><li><div>Potential for contract extension or long-term placement based on performance</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>Additional Screening Questions (for Candidates)</b></p>
</div>
<div><ul><li><div>Describe your experience with data engineering tools and technologies (Azure, Databricks, SQL, Python, and on-prem ETL tools such as SSIS).</div>
</li></ul>
</div><div><ul><li><div>Provide an example of a data pipeline or project you&rsquo;ve built that demonstrates your technical capabilities.</div>
</li></ul>
</div><div><ul><li><div>Are you currently authorized to work in the United States with permanent work authorization? (Student visas are not considered permanent status.)</div></li></ul></div><br>
<div>
</div><p></p><div><p><b>About Bloc Resources</b></p>
</div>
<div><p>Bloc Resources is a trusted workforce solutions partner specializing in engineering, utilities, IT, and technical staffing. We connect top talent with leading organizations while providing career support, project opportunities, and long-term growth potential.</p></div></div><p></p>

Data Engineer 4

<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Atlanta</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p><b>Data Engineer &mdash; Customer Data Platform</b></p>
<p><b>
Lead I - Data Engineering</b></p><br>
<p></p>
<p><b>
Who We Are:</b></p>
<p>
Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.</p>
<p>
UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.</p>
<p>
With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.</p>
<p>
Visit us at UST.com.</p><br>
<p></p>
<p><b>
You Are:</b></p>
<p>
We are seeking a Data Engineer to build and maintain the foundational data pipelines that power our Customer Data Platform (CDP) &mdash; the authoritative source of truth for customer data across the entire US adult population.</p><br>
<p></p>
<p><b>
The opportunity:</b></p>
<ul><li> Develop and maintain batch and streaming data pipelines using Azure Data Factory (ADF), Databricks, and Spark that ingest customer data from dozens of source systems into CDP</li></ul>
<ul><li> Build data ingestion frameworks from APIs, event streams (Event Hub/Kafka), and enterprise databases &mdash; ensuring every customer touchpoint feeds into the unified profile</li></ul>
<ul><li> Perform data transformation, cleansing, and enrichment using Python and Spark to maintain the accuracy and completeness that an authoritative source of truth demands</li></ul>
<ul><li> Implement data validation and quality checks at every pipeline stage &mdash; catching anomalies, duplicates, and schema drift before they erode trust in customer profiles</li></ul>
<ul><li> Work with ADLS, Snowflake, SQL Server, and Cosmos DB to store and process customer data across bronze, silver, and gold layers</li></ul>
<ul><li> Support data modeling and schema design under guidance from senior engineers, ensuring alignment with CDP's unified customer profile standards</li></ul>
<ul><li> Build curated data layers that serve analytics, reporting, personalization, and AI/ML use cases with production-ready, well-documented datasets</li></ul><br>
<p></p>
<p>
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.</p><p><br>
</p><p><b>What you </b><b>need</b><b>:</b></p>
<ul><li> Bachelor's degree in Computer Science, Engineering, or related field</li></ul>
<ul><li> 3+ years of experience in data engineering or related roles</li></ul>
<ul><li> Experience working in cloud-based data platforms (Azure preferred)</li></ul>
<ul><li> Experience with Agile development methodologies</li></ul>
<ul><li> Technical Skills</li></ul>
<ul><li> Programming: Python (required), SQL, basic Spark (PySpark)</li></ul>
<ul><li> Azure stack: ADF, ADLS, Databricks (working knowledge)</li></ul>
<ul><li> Databases: Snowflake, SQL Server, Cosmos DB (basic to intermediate)</li></ul>
<ul><li> Solid understanding of ETL/ELT concepts and data pipeline design patterns</li></ul>
<ul><li> Hands-on knowledge with APIs and data integration patterns for diverse source systems</li></ul>
<ul><li> Experience with data quality checks, logging, monitoring, and ing</li></ul>
<ul><li> Understanding of data lineage, metadata management, and how data supports downstream AI/ML workflows</li></ul>
<ul><li> Knowledge of CI/CD and orchestration tools like Control-M</li></ul>
<ul><li> Knowledge, Skills, and Abilities</li></ul>
<ul><li> Strong analytical and problem-solving skills with attention to data accuracy</li></ul>
<ul><li> Ability to work with large datasets and distributed systems at population scale</li></ul>
<ul><li> Eagerness to learn and adapt to emerging AI and data technologies</li></ul>
<ul><li> Understanding of why data quality and timeliness matter for customer-facing experiences</li></ul><br>
<p></p>
<p>
Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.</p>
<p><b>
Role Location:</b><b> </b><b>Georgia</b></p>
<p><b>
Compensation Range</b>: $70,000-$105,000</p><br>
<p></p>
<p><b>
Benefits</b></p>
<p>
Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.</p>
<p>
Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching.</p>
<p>
Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.</p>
<p>
Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).</p>
<p>
All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.</p><br>
<p></p>
<p><b>
What we believe:</b></p>
<p>
We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.</p><br>
<p></p>
<p><b>
Humility:</b></p>
<p>
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.</p>
<p><b>
Humanity:</b></p>
<p>
Through business, we will better the lives of those less fortunate than ourselves.</p>
<p><b>
Integrity:</b></p>
<p>
We honor our commitments and act with responsibility in all our relationships.</p><br>
<div></div>
<div><b>
Equal Employment Opportunity Statement</b></div><div><br>
UST is an Equal Opportunity Employer.</div><br>
<div></div>
<p>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.</p>
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div><br>
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-AP4</div></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>data engineering,machine learning,data modelling,ensemble approaches,ai/ml engineering</p></div>
<h3 class="jobSectionHeader"><b>Benefits</b></h3>
<h3 class="jobSectionHeader"><p><b>Compensation range: $ 70,000.00 to 105,000.00 per year</b></p></h3></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Data Engineer — Customer Data Platform

<div>
 <strong>
  Role Description
  <br/>
  <br/>
 </strong>
 <strong>
  Data Engineer &mdash; Customer Data Platform
  <br/>
  <br/>
 </strong>
 <strong>
  Lead I - Data Engineering
  <br/>
  <br/>
 </strong>
 <strong>
  Who We Are
  <br/>
  <br/>
 </strong>
 Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.
 <br/>
 <br/>
 UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.
 <br/>
 <br/>
 With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.
 <br/>
 <br/>
 Visit us at UST.com.
 <br/>
 <br/>
 <strong>
  You Are
  <br/>
  <br/>
 </strong>
 We are seeking a Data Engineer to build and maintain the foundational data pipelines that power our Customer Data Platform (CDP) &mdash; the authoritative source of truth for customer data across the entire US adult population.
 <br/>
 <br/>
 <strong>
  The Opportunity
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and maintain batch and streaming data pipelines using Azure Data Factory (ADF), Databricks, and Spark that ingest customer data from dozens of source systems into CDP
  </li>
  <li>
   Build data ingestion frameworks from APIs, event streams (Event Hub/Kafka), and enterprise databases &mdash; ensuring every customer touchpoint feeds into the unified profile
  </li>
  <li>
   Perform data transformation, cleansing, and enrichment using Python and Spark to maintain the accuracy and completeness that an authoritative source of truth demands
  </li>
  <li>
   Implement data validation and quality checks at every pipeline stage &mdash; catching anomalies, duplicates, and schema drift before they erode trust in customer profiles
  </li>
  <li>
   Work with ADLS, Snowflake, SQL Server, and Cosmos DB to store and process customer data across bronze, silver, and gold layers
  </li>
  <li>
   Support data modeling and schema design under guidance from senior engineers, ensuring alignment with CDP's unified customer profile standards
  </li>
  <li>
   Build curated data layers that serve analytics, reporting, personalization, and AI/ML use cases with production-ready, well-documented datasets
   <br/>
   <br/>
  </li>
 </ul>
 This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.
 <br/>
 <br/>
 <strong>
  What You Need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Engineering, or related field
  </li>
  <li>
   3+ years of experience in data engineering or related roles
  </li>
  <li>
   Experience working in cloud-based data platforms (Azure preferred)
  </li>
  <li>
   Experience with Agile development methodologies
  </li>
  <li>
   Technical Skills
  </li>
  <li>
   Programming: Python (required), SQL, basic Spark (PySpark)
  </li>
  <li>
   Azure stack: ADF, ADLS, Databricks (working knowledge)
  </li>
  <li>
   Databases: Snowflake, SQL Server, Cosmos DB (basic to intermediate)
  </li>
  <li>
   Solid understanding of ETL/ELT concepts and data pipeline design patterns
  </li>
  <li>
   Hands-on knowledge with APIs and data integration patterns for diverse source systems
  </li>
  <li>
   Experience with data quality checks, logging, monitoring, and ing
  </li>
  <li>
   Understanding of data lineage, metadata management, and how data supports downstream AI/ML workflows
  </li>
  <li>
   Knowledge of CI/CD and orchestration tools like Control-M
  </li>
  <li>
   Knowledge, Skills, and Abilities
  </li>
  <li>
   Strong analytical and problem-solving skills with attention to data accuracy
  </li>
  <li>
   Ability to work with large datasets and distributed systems at population scale
  </li>
  <li>
   Eagerness to learn and adapt to emerging AI and data technologies
  </li>
  <li>
   Understanding of why data quality and timeliness matter for customer-facing experiences
   <br/>
   <br/>
  </li>
 </ul>
 Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.
 <br/>
 <br/>
 <strong>
  Role Location: Georgia
  <br/>
  <br/>
 </strong>
 <strong>
  Compensation Range
 </strong>
 : $70,000-$105,000
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.
 <br/>
 <br/>
 Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching.
 <br/>
 <br/>
 Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.
 <br/>
 <br/>
 Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).
 <br/>
 <br/>
 All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.
 <br/>
 <br/>
 <strong>
  What We Believe
  <br/>
  <br/>
 </strong>
 We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.
 <br/>
 <br/>
 <strong>
  Humility
  <br/>
  <br/>
 </strong>
 We will listen, learn, be empathetic and help selflessly in our interactions with everyone.
 <br/>
 <br/>
 <strong>
  Humanity
  <br/>
  <br/>
 </strong>
 Through business, we will better the lives of those less fortunate than ourselves.
 <br/>
 <br/>
 <strong>
  Integrity
  <br/>
  <br/>
 </strong>
 We honor our commitments and act with responsibility in all our relationships.
 <br/>
 <br/>
 <strong>
  Equal Employment Opportunity Statement
  <br/>
  <br/>
 </strong>
 UST is an Equal Opportunity Employer.
 <br/>
 <br/>
 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.
 <br/>
 <br/>
 UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.
 <br/>
 <br/>
 #UST
 <br/>
 <br/>
 #CB
 <br/>
 <br/>
 <strong>
  Skills
  <br/>
  <br/>
 </strong>
 data engineering,machine learning,data modelling,ensemble approaches,ai/ml engineering
 <br/>
 <br/>
</div>


Travelers

<div><p><b>Who Are We?</b></p><p>
Taking care of our customers, our communities and each other. That&rsquo;s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.</p><p></p><p><b>
Compensation Overview</b></p><p>
The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.</p><p></p><p><b>
Salary Range</b></p>
$109,300.00 - $180,200.00<p></p><p><b>
Target Openings</b></p>
1<p></p><p><b>
What Is the Opportunity?</b></p>
Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineer, you will play a key role in growing and transforming our analytics landscape. In addition to your strong analytical mind, you will bring your inquisitive attitude and ability to translate the stories found in data. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. Applicants must be authorized to work for ANY employer in the U.S. The company does not sponsor/support H-1B petitions, TN, or Forms I-983/STEM OPT, for this role.<p><b>
What Will You Do?</b></p><ul><li>
Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.</li><li>
Design data solutions.</li><li>
Analyze sources to determine value and recommend data to include in analytical processes.</li><li>
Incorporate core data management competencies including data governance, data security and data quality.</li><li>
Collaborate within and across teams to support delivery and educate end users on data products/analytic environment.</li><li>
Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.</li><li>
Test data movement, transformation code, and data components.</li><li>
Perform other duties as assigned.
</li></ul><p><b>What Will Our Ideal Candidate Have?</b></p><ul><li>
Bachelor&rsquo;s Degree in STEM related field or equivalent.</li><li>
Six years of related experience.</li><li>
Hands-on experience building data pipelines using AWS Services (S3, Lambda, IAM) and Databricks.</li><li>
Hands-on experience programming and development experience with Python and PySpark.</li><li>
Experience with ETL development in data lake and data warehouse (preferably Snowflake).</li><li>
Experience with data streaming platforms (e.g., Confluent, Apache Kafka) is a plus</li><li>
Proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of software engineering practices.</li><li>
The ability to deliver work at a steady, predictable pace to achieve commitments, decompose work assignments into small batch releases, and contribute to tradeoff and negotiation discussions.</li><li>
Demonstrated track record of domain expertise including the ability to understand technical concepts and possess in-depth knowledge of immediate systems worked on.</li><li>
Proven problem solving skills including debugging skills, allowing you to determine source of issues in unfamiliar code or systems and the ability to recognize and solve repetitive problems.</li><li>
Strong verbal and written communication skills with the ability to interact with team members and business partners.</li><li>
Leadership - Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities.</li></ul><p></p><p><b>
What is a Must Have?</b></p><ul><li>
Bachelor&rsquo;s degree in computer science, related STEM field, or its equivalent in education and/or work experience.</li><li>
2 additional years of software/data engineering experience.</li></ul><p></p><p><b>
What Is in It for You?</b></p><ul><li><b>
Health Insurance</b>: Employees and their eligible family members &ndash; including spouses, domestic partners, and children &ndash; are eligible for coverage from the first day of employment.</li><li><b>
Retirement:</b> Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.</li><li><b>
Paid Time Off:</b> Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.</li><li><b>
Wellness Program:</b> The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.</li><li><b>
Volunteer Encouragement:</b> We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.</li></ul><p></p><p><b>
Employment Practices</b></p><p>
Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.
</p><p></p><p>In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.</p><p></p><p>
If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.</p><p></p><p>
Travelers reserves the right to fill this position at a level above or below the level included in this posting.</p><p></p><p>
To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.</p></div>

Data Engineer I (AWS, Databricks, PySpark)

Honeywell

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 As a Data Engineer, you will be part of a high-performing global team delivering AI- and data-driven solutions for Honeywell&rsquo;s industrial customers, with a focus on IoT and real-time data processing. In this role, you will architect and implement scalable data pipelines and platforms that enable advanced analytics and AI capabilities, including large-scale machine learning models, intelligent automation, and real-time inference. You will work closely with cross-functional engineering and product teams at the intersection of IoT telemetry and modern data technologies to develop reliable, high-impact industrial solutions.
 <br/>
 <br/>
 You will report directly to our Data Engineering Manager and you&rsquo;ll work out of our Atlanta, GA location on a Hybrid work schedule. Note: for the first 90 days, new hires must be prepared to work 100% onsite M-F.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Data Engineering &amp; AI Pipeline Development:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement scalable data architectures to process high-volume IoT sensor data and telemetry streams, ensuring reliable data capture and processing for AI/ML workloads
  </li>
  <li>
   Build and maintain data pipelines for AI product lifecycle, including training data preparation, feature engineering, and inference data flows
  </li>
  <li>
   Develop and optimize RAG (Retrieval Augmented Generation) systems, including vector databases, embedding pipelines, and efficient retrieval mechanisms
  </li>
  <li>
   Create robust data integration solutions that combine industrial IoT data streams with enterprise data sources for AI model training and inference
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  DataOps
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Implement DataOps practices to ensure continuous integration and delivery of data pipelines powering AI solutions
  </li>
  <li>
   Design and maintain automated testing frameworks for data quality, data drift detection, and AI model performance monitoring
  </li>
  <li>
   Create self-service data assets enabling data scientists and ML engineers to access and utilize data efficiently
  </li>
  <li>
   Design and maintain automated documentation systems for data lineage and AI model provenance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Collaboration &amp; Innovation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with ML engineers and data scientists to implement efficient data workflows for model training, fine-tuning, and deployment
  </li>
  <li>
   Drive continuous improvement in data engineering practices and tooling
  </li>
  <li>
   Establish best practices for data pipeline development and maintenance in AI contexts
  </li>
  <li>
   Drive projects to completion while working in an agile environment with evolving requirements in the rapidly changing AI landscape
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  YOU MUST HAVE
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum 3 years of experience in data engineering with a strong grasp of Change Data Capture (CDC), ELT/ETL workflows, streaming replication, and data quality frameworks
  </li>
  <li>
   Deep expertise in building scalable data pipelines using Databricks, including Unity Catalog and Delta Live Tables
  </li>
  <li>
   Strong hands-on proficiency with PySpark for distributed data processing and transformation
  </li>
  <li>
   Solid experience working with cloud platforms such as Azure, GCP, and Databricks, especially in designing and implementing AI/ML-driven data workflows
  </li>
  <li>
   Proficient in CI/CD practices using GitHub Actions, Bitbucket, Bamboo, and Octopus Deploy to automate and manage data pipeline deployments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  WE VALUE
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience building solutions on RAG and Agentic architectures and working with LLM-powered applications
  </li>
  <li>
   Expertise in real-time data processing frameworks (Apache Spark Streaming, Structured Streaming)
  </li>
  <li>
   Knowledge of MLOps practices and experience building data pipelines for AI model deployment
  </li>
  <li>
   Experience with time-series databases and IoT data modeling patterns
  </li>
  <li>
   Familiarity with containerization (Docker) and orchestration (Kubernetes) for AI workloads
  </li>
  <li>
   Strong background in data quality implementation for AI training data
  </li>
  <li>
   Experience working with distributed teams and cross-functional collaboration
  </li>
  <li>
   Knowledge of data security and governance practices for AI systems
  </li>
  <li>
   Experience working on analytics projects with Agile and Scrum Methodologies
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  US PERSON REQUIREMENT
  <br/>
  <br/>
 </strong>
 Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.
 <br/>
 <br/>
 <strong>
  Benefits Of Working For Honeywell
  <br/>
  <br/>
 </strong>
 In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here
 <br/>
 <br/>
 <strong>
  About Honeywell
  <br/>
  <br/>
 </strong>
 Honeywell International Inc. (NYSE: HON) invents and commercializes technologies that address some of the world&rsquo;s most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more here: https://www.honeywell.com/us/en
 <br/>
 <br/>
 The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: 4/3/2026
 <br/>
 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments &ndash; powered by our Honeywell Forge software &ndash; that help make the world smarter, safer and more sustainable.
</div>


Data Engineer

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