associate data engineer

data analyst

data scientist - pro

sr. data analyst, data quality Jobs in Atlanta

sr. data analyst, data quality

ai engineer

data engineer

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

S.P. Richards

<div><div><b>Summary</b></div><div>
Data Engineer II is a fully proficient, independent contributor responsible for designing, developing, and maintaining reliable and scalable data solutions with minimal oversight. This role owns moderate‑to‑complex data pipelines and datasets, ensures analytical accuracy, and proactively identifies and resolves issues across data and reporting platforms within established architectural standards.</div><div></div><div><b><br>
Location: Smyrna, GA (Near Battery Center)<br>
</b></div><div></div><br>
<div><b>Essential Duties and Responsibilities</b></div><ul><li>
Design, develop, and maintain moderately complex data pipelines, datasets, and integrations.</li><li>
Independently analyze requirements and translate them into accurate, supportable technical solutions.</li><li>
Optimize queries, data models, and transformations for performance, reliability, and maintainability.</li><li>
Perform thorough data validation and ensure accuracy prior to deployment and reporting consumption.</li><li>
Troubleshoot and resolve data and reporting issues end‑to‑end without routine supervision.</li></ul><br>
<div></div><ul><li>
Apply development architecture and coding best practices consistently.</li><li>
Contribute to process improvements, standards, and documentation.</li><li>
Collaborate with cross‑functional partners to support business data and reporting needs.</li><li>
Participate in peer reviews and provide constructive, actionable feedback.</li><li>
Thrive in a fast paced, schedule driven environment by effectively managing and pivoting between multiple complex workstreams.</li><li>
Other duties as assigned.</li></ul><div></div><div><b><br>
Decision Authority</b></div><ul><li>
Makes design and implementation decisions within established architecture, standards, and priorities; escalates broader architectural or strategic changes as appropriate.</li></ul><div></div><div><b><br>
Competencies</b></div><div>
Decision Making &middot; Judgement &middot; Productivity &middot; Teamwork &middot; Quality &middot; Learning Agility &middot; Accountability &middot; Collaboration &middot; Communication &middot; Customer Focus &middot; Work Environment Safety</div><div></div><div><b><br>
Qualifications</b></div><ul><li>
Strong proficiency in SQL and relational databases.</li><li>
Solid experience with ETL development and data integration patterns.</li><li>
Working knowledge of dimensional modeling and reporting dependencies.</li><li>
Hands‑on experience developing or supporting enterprise analytics solutions, including data pipelines, centralized data platforms, and semantic models.</li><li>
Strong understanding of business intelligence concepts such as dataset design, data modeling, refresh behavior, and report dependencies.</li><li>
Experience supporting and maintaining enterprise reporting solutions in a production environment.</li><li>
Familiarity with DevOps concepts and version control.</li></ul><div></div><div><b><br>
Education/Experience</b></div><div>
Bachelor&rsquo;s degree in Computer Science, MIS, or equivalent education and experience.</div><div>
3&ndash;6 years of relevant experience.</div><div></div><div><b><br>
Communication &amp; Comprehension</b></div><div>
Ability to read, understand, and apply written materials such as policies, procedures, and technical documentation. Able to communicate clearly and professionally, both verbally and in writing, with technical and non‑technical audiences.</div><div></div><div><b><br>
Analytical &amp; Numerical Skills</b></div><div>
Ability to work with numerical data and perform basic calculations, including percentages, proportions, and comparisons, as needed to support job responsibilities.</div><div></div><div><b><br>
Problem‑Solving &amp; Judgment</b></div><div>
Ability to analyze practical problems, evaluate relevant information, and determine appropriate solutions in situations with limited standardization. Able to interpret instructions presented in written, verbal, visual, or scheduled formats. Demonstrates effective organization, prioritization, and time‑management skills.</div><div></div><div><b><br>
Supervisory Responsibilities</b></div><div>
This position has no supervisory responsibilities.</div><div></div><div><b><br>
Work Environment</b></div><div>
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is typically moderate.</div><div><b>
Physical Requirements</b></div><div>
The physical requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this position, with or without reasonable accommodation.</div><div>
While performing the duties of this job, the employee is regularly required to sit; use hands to operate a computer and other office equipment; reach with hands and arms; and communicate verbally and audibly. The employee may occasionally be required to stand or walk and lift up to 10 pounds.</div><div>
Specific vision abilities required by this job include close vision, distance vision, peripheral vision, and the ability to adjust focus.</div></div>

Data Engineer II

Momentive Software

<div><h1 class="jobSectionHeader"><b>Job Description
</b></h1><p><b>Key Responsibilities:
</b></p><ul><li><b>Data Analysis &amp; Insight Generation
</b></li></ul><ul><li><ul><li><p>Analyze large and complex datasets to extract meaningful insights that drive business outcomes.
</p></li><li><p>Communicate findings and recommendations through reports, dashboards, and presentations.
</p></li></ul></li></ul><ul><li><b>Data Engineering &amp; Preparation
</b></li></ul><ul><li><ul><li><p>Clean, preprocess, and transform raw data for analysis and modeling.
</p></li><li><p>Collaborate with data engineering teams to ensure data availability and quality.
</p></li></ul></li></ul><ul><li><b>Collaboration with Stakeholders
</b></li></ul><ul><li><ul><li><p>Work closely with product managers, engineers, and business leaders to understand requirements and deliver data-driven solutions.
</p></li><li><p>Translate business problems into analytical frameworks.
</p></li></ul></li></ul><ul><li><b>A/B Testing &amp; Experimentation
</b></li></ul><ul><li><ul><li><p>Design and analyze A/B tests to measure the impact of product changes and marketing campaigns.
</p></li><li><p>Provide statistical rigor in experimentation and decision-making.
</p></li></ul></li></ul><ul><li><b>Research &amp; Innovation
</b></li></ul><ul><li><ul><li><p>Stay up-to-date with the latest developments in data science, machine learning, and AI.
</p></li><li><p>Propose innovative approaches and solutions for complex problems.
</p></li></ul></li></ul><p>Other duties as assigned
</p><p><b>Qualifications
</b></p><ul><li><p>Education
</p><ul><li><p>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
</p></li></ul></li><li><p>Experience
</p><ul><li><p>5+ years of experience in data science or a related field.
</p></li><li><p>Hands-on experience with data analysis, machine learning, and statistical modeling.
</p></li></ul></li><li><p>Technical Skills
</p><ul><li><p>Proficiency in <b>Python </b>, <b>R </b>or similar technologies for data analysis and modeling.
</p></li><li><p>Strong experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-Learn, TensorFlow, PyTorch).
</p></li><li><p>SQL proficiency for data extraction and transformation.
</p></li><li><p>Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Spark, Hadoop) is a plus.
</p></li></ul></li></ul><p></p><h1 class="jobSectionHeader"><b>About Us
</b></h1><p></p><p>Momentive Software amplifies the impact of over 20,000 purpose-driven organizations in over 30 countries, with over $11 billion raised and 55 million members served to date. Mission-driven nonprofits and associations rely on Momentive&rsquo;s cloud-based software and services to address their most pressing challenges &ndash; from engaging their communities to simplifying operations and growing revenue. Designed to help organizations connect more, manage more, and ultimately expect more, Momentive's solutions are built with reliability at the core and strategically focus on fundraising, learning, events, careers, volunteering, accounting, and association management. Momentive partners with organizations that believe &quot;good enough&quot; is never enough &ndash; so they can bring on better outcomes for everyone they serve. Learn more at momentivesoftware.com .<br>
<br>
</p><h1 class="jobSectionHeader"><b>Why Work Here?
</b></h1><p>At Momentive Software, we&rsquo;re a team of passionate problem-solvers, innovators, and volunteers who believe in using technology to make a real difference. We dream big, support each other, and take pride in creating solutions that help our customers drive meaningful change. If you&rsquo;re looking for a place where your work matters and your ideas are valued, you&rsquo;ll find it here.
</p><p></p><p>Medical, Dental &amp; Vision Benefits
</p><p>401(k) Savings Plan with Company Match
</p><p>Flexible Planned Paid Time Off
</p><p>Generous Sick Leave
</p><p>Inclusive &amp; Welcoming Environment
</p><p>Purpose-Driven Culture
</p><p>Work-Life Balance
</p><p>Commitment to Community Involvement
</p><p>Employer-Paid Parental Leave
</p><p>Employer-Paid Short-Term Disability
</p><p>Remote Work Flexibility
<br>
<br>
Momentive Software actively embraces diversity and equal opportunity in a meaningful way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be, which is why we do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
<br>
<br>
All persons hired will be required to verify identity, minimum age of 18, eligibility to work in the United States (without sponsorship), and to complete the required employment eligibility verification form upon hire.</p></div>

Data Engineer III

Cargill

<div>
 Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living.
 <br/>
 <br/>
 Our 155,000 team members innovate with purpose, providing customers with life&rsquo;s essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing&mdash;today and for generations to come.
 <br/>
 <br/>
 Job Purpose and Impact
 <br/>
 <br/>
 The Associate Professional, Data Engineering job assists with the design, building and maintenance of routine data systems that enable data analysis and reporting. Under close supervision, this job provides collaboration to support that large sets of data are efficiently processed and made accessible for decision making.
 <br/>
 <br/>
 Key Accountabilities
 <br/>
 <br/>
 <ul>
  <li>
   DATA &amp; ANALYTICAL SOLUTIONS: Assists with the development of basic data products and solutions using big data and cloud based technologies, supporting scalable, sustainable and robust designs.
  </li>
  <li>
   DATA PIPELINES: Collaborates with the development of basic streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.
  </li>
  <li>
   DATA SYSTEMS: Assists with the implementation of existing data systems and architectures in support of improvement and optimization activities.
  </li>
  <li>
   DATA INFRASTRUCTURE: Supports the preparation of data infrastructure aligned with the efficient storage and retrieval of data.
  </li>
  <li>
   DATA FORMATS: Helps implement appropriate data formats to improve data usability and accessibility across the organization.
  </li>
  <li>
   STAKEHOLDER MANAGEMENT: Assembles requirements from multi-functional partners assisting the team to ensure that data solutions meet the functional and non-functional needs of various partners.
  </li>
  <li>
   DATA FRAMEWORKS: Conducts basic testing of new concepts and assists with the implementation of data engineering frameworks and architectures to support the improvement of data processing capabilities and analytics initiatives.
  </li>
  <li>
   AUTOMATED DEPLOYMENT PIPELINES: Collaborates with the implementation of automated deployment pipelines to support improving efficiency of code deployments with fit for purpose governance.
  </li>
  <li>
   DATA MODELING: Performs basic data modeling aligned with the datastore technology to ensure sustainable performance and accessibility.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 No minimum years of relevant experience required. Typically reflects 2 years or more of relevant experience.
 <br/>
 <br/>
 Professional experience with many/most of the following is preferred:
 <br/>
 <br/>
 <ul>
  <li>
   SQL, Python, relational databases
  </li>
  <li>
   GIT, CI/CD, Dev Ops
  </li>
  <li>
   ETL
  </li>
  <li>
   Linux
   <br/>
   <br/>
  </li>
 </ul>
 The business will not sponsor visas for this position. This role is based out of our Atlanta, GA office and relocation will not be provided.
 <br/>
 <br/>
 Equal Opportunity Employer, including Disability/Vet.
 <br/>
 <br/>
</div>


Associate Data Engineer

<div><p>Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living.<br>
Our 155,000 team members innovate with purpose, providing customers with life&rsquo;s essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing&mdash;today and for generations to come.</p><div><div><div><h2 class="jobSectionHeader"><b>
Job Purpose and Impact</b></h2>
</div><div><p>
The Associate Professional, Data Engineering job assists with the design, building and maintenance of routine data systems that enable data analysis and reporting. Under close supervision, this job provides collaboration to support that large sets of data are efficiently processed and made accessible for decision making.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Key Accountabilities</b></h2>
</div><div><ul><li>DATA &amp; ANALYTICAL SOLUTIONS: Assists with the development of basic data products and solutions using big data and cloud based technologies, supporting scalable, sustainable and robust designs.</li><li>
DATA PIPELINES: Collaborates with the development of basic streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li><li>
DATA SYSTEMS: Assists with the implementation of existing data systems and architectures in support of improvement and optimization activities.</li><li>
DATA INFRASTRUCTURE: Supports the preparation of data infrastructure aligned with the efficient storage and retrieval of data.</li><li>
DATA FORMATS: Helps implement appropriate data formats to improve data usability and accessibility across the organization.</li><li>
STAKEHOLDER MANAGEMENT: Assembles requirements from multi-functional partners assisting the team to ensure that data solutions meet the functional and non-functional needs of various partners.</li><li>
DATA FRAMEWORKS: Conducts basic testing of new concepts and assists with the implementation of data engineering frameworks and architectures to support the improvement of data processing capabilities and analytics initiatives.</li><li>
AUTOMATED DEPLOYMENT PIPELINES: Collaborates with the implementation of automated deployment pipelines to support improving efficiency of code deployments with fit for purpose governance.</li><li>
DATA MODELING: Performs basic data modeling aligned with the datastore technology to ensure sustainable performance and accessibility.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Qualifications</b></h2>
</div><div><p>
No minimum years of relevant experience required. Typically reflects 2 years or more of relevant experience.</p><p></p><p><br>
Professional experience with many/most of the following is preferred:</p><div><ul><li><p>
SQL, Python, relational databases</p></li></ul></div><div><ul><li><p>
GIT, CI/CD, Dev Ops</p></li></ul></div><div><ul><li><p>
ETL</p></li></ul></div><div><ul><li><p>
Linux</p></li></ul><p>
The business will not sponsor visas for this position. This role is based out of our Atlanta, GA office and relocation will not be provided.</p><p></p><p><br>
#LI-NS7</p></div></div></div></div><p>
Equal Opportunity Employer, including Disability/Vet.</p></div>

Travelers

<div>
 <strong>
  Who Are We?
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Compensation Overview
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Salary Range
  <br/>
  <br/>
 </strong>
 $109,300.00 - $180,200.00
 <br/>
 <br/>
 <strong>
  Target Openings
  <br/>
  <br/>
 </strong>
 1
 <br/>
 <br/>
 <strong>
  What Is the Opportunity?
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  What Will You Do?
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Will Our Ideal Candidate Have?
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What is a Must Have?
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Is in It for You?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Health Insurance: 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>
   Retirement: 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>
   Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
  </li>
  <li>
   Wellness Program: 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>
   Volunteer Encouragement: 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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Employment Practices
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Travelers reserves the right to fill this position at a level above or below the level included in this posting.
 <br/>
 <br/>
 To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.
</div>


Data Engineer I (AWS, Databricks, PySpark)

Infosys

<div><b>In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below:</b><br>
<ul><li>Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
</li><li>Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
</li><li>Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
</li><li>Conduct code reviews, do changes to the codebase and maintain code repositories
</li><li>Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
</li><li>Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
</li><li>Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
</li><li>Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects</li></ul><br>
<b>
Your contribution to the team:</b><br>
<ul><li>A collaborative spirit and excellent communication skills.
</li><li>The ability to handle end to end SDLC phases from requirement gathering to implementation.
</li><li>A knack for translating complex requirements into actionable development tasks.
</li><li>A passion for design and hands-on coding experience
</li><li>A proactive approach to testing, troubleshooting, and refining our applications.
</li><li>The ability to work with cross-functional teams and do software integration.</li></ul></div>

Sr. Fabric Data Engineer

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Data Engineer I (AWS, Databricks, PySpark)

Sr. Fabric Data Engineer