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data engineer

The Coca-Cola Company

<p></p><div><div><div><p>Digital products play a central role in how we create value for customers, support the teams who serve them, and shape the consumer experience.</p><p></p><p>
Our product organization brings together small, empowered teams that move with clarity, speed, and purpose, enabling digital to be a meaningful source of advantage across Coca-Cola&rsquo;s North America Operating Unit.</p><p></p><p>
Our work spans customer journeys, service delivery, sales workflows, and the platforms that connect them. We are raising our standards for product craft and rebuilding the systems behind these experiences. In this role, you will build, own and help transform:</p><p></p><ul><li>
Data pipelines and transformations for a defined domain (ingest, clean, transform, publish)</li><li>
Well-documented datasets and basic semantic models that enable reporting and analysis</li><li>
Data quality checks (freshness, completeness, validity) and participation in monitoring/alerting</li><li>
Datasets that support machine learning use cases (e.g., feature and label tables) with clear definitions</li><li>
Incremental improvements to pipeline performance, cost, and reliability with guidance</li><li>
Collaboration with partners to clarify requirements and iterate on data products</li></ul><p></p><p><b>
What You Will Work On</b><br>
Build ML-powered data products that model transaction drivers and surface optimized actions as insights to be embedded within integrated internal and external digital experiences that shape how our beverage brands activate across retail, foodservice, and digital channels. The success of our products is tied directly to measurable transaction lift at the point of sale, a primary objective of the North America Operating Unit and The Coca-Cola Company as a whole.</p><p></p><p><b>
How We Work</b></p><p>
You&rsquo;ll be part of a dedicated, cross-functional team (Product, Design, Engineering) that is:</p><ul><li>
Empowered to solve problems, not just build features</li><li>
Accountable for outcomes, not output</li><li>
Collaborative by default, from discovery through delivery</li><li>
Continuously learning, using data and customer insight to improve</li></ul><p></p><p><b>
Key Responsibilities</b></p><ul><li><b>
Partner in Data Discovery &amp; Solution Shaping</b></li><li>
Partner with Product, Analytics, and Engineering to understand data needs, definitions, and success metrics</li><li>
Learn source systems and data flows; help map entities, identifiers, and key business rules</li><li>
Contribute to data modeling and design decisions with guidance (schemas, grain, slowly changing dimensions, etc.)</li><li>
Propose simpler, more reliable approaches (e.g., reuse shared datasets, standardize definitions) to improve trust and usability</li></ul><p></p><p><b>
Build &amp; Maintain Data Pipelines</b></p><ul><li>
Build and maintain batch and/or streaming pipelines to ingest data from source systems into our analytical platform</li><li>
Develop transformations to clean, standardize, and enrich data using agreed-upon patterns and tools (e.g., SQL, Python, dbt)</li><li>
Contribute to pipeline orchestration and deployment (version control, code reviews, scheduled runs) and follow team standards</li><li>
Support ML workflows by helping produce curated training datasets and feature-ready tables, following established patterns</li><li>
Help monitor pipeline health and data quality; investigate failures with guidance and improve runbooks and alerts over time</li></ul><p></p><p><b>
Own End-to-End Data Outcomes</b></p><ul><li>
Implement and maintain data quality checks and basic observability (tests, audits, monitoring) for pipelines you contribute to</li><li>
Document datasets and transformations (definitions, lineage, caveats) so others can confidently use and interpret the data</li><li>
Help ensure ML datasets are reproducible by supporting basic versioning/lineage and clearly documenting training data assumptions</li><li>
Drive incremental improvements to reliability, performance, and cost; follow data access, privacy, and retention guidelines</li></ul><p></p><p><b>
Contribute to a Strong Data Culture</b></p><ul><li>
Help evolve data standards (naming conventions, modeling patterns, documentation) to improve consistency and reuse</li><li>
Promote a culture of data trust through quality checks, clear definitions, and thoughtful change management</li><li>
Collaborate with platform partners to leverage shared tooling and improve the developer experience for data workflows</li></ul><p></p><p><b>
What We&rsquo;re Looking For</b></p><ul><li><b>
Strong SQL fundamentals</b> (joins, aggregation, window functions, performance basics)</li><li><b>
Data modeling mindset</b>: Cares about clear definitions, grain, and making data usable</li><li><b>
Pragmatic problem solving</b>: Debugs issues, makes sensible tradeoffs, and knows when to ask for help</li><li><b>
Ownership</b>: Takes responsibility for assigned datasets/pipelines and follows through to production</li><li><b>
Collaboration</b>: Works effectively with analytics, product managers, and software engineers to deliver trusted data</li><li><b>
Machine learning exposure (a plus)</b>: Familiarity with features/labels, experimentation, and the importance of reproducible training data</li></ul><p></p><p><b>
Key Qualifications</b></p><ul><li>
minimum of 2+ years of experience in data engineering, analytics engineering, or software engineering (including internships or equivalent projects)</li><li>
Ability to write production-quality SQL and create reliable transformations with attention to correctness</li><li>
Proficiency in Python (or similar) and comfort using Git and code reviews to collaborate</li><li>
Familiarity with data platforms (data warehouse/lakehouse concepts), and exposure to orchestration/ETL tools (e.g., Airflow, dbt, Spark) is a plus</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Experience working with a modern data warehouse/lakehouse (e.g., Snowflake, BigQuery, Databricks) through coursework or projects</li><li>
Exposure to transformation and orchestration tools (e.g., dbt, Airflow) and analytics engineering practices</li><li>
Understanding of dimensional modeling and/or event modeling concepts (fact/dimension tables, star schemas)</li><li>
Exposure to data quality testing, monitoring, or observability concepts</li><li>
Familiarity with data governance concepts (PII handling, access controls, retention) and a willingness to learn policies</li><li>
Exposure to machine learning workflows (training data preparation, feature tables, model experimentation support)</li><li>
Familiarity with modern engineering practices (CI/CD, testing, observability)</li></ul><p></p><p><b>
Education</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field</li><li>
Equivalent practical experience is equally valued</li></ul><p></p><p><b>
Who Thrives Here</b></p><ul><li>
Care about data accuracy and trust, and are curious about how data is used to make decisions</li><li>
Enjoy collaborating with analytics, product, and engineering partners to clarify definitions and requirements</li><li>
Take pride in building reliable pipelines, writing tests, and leaving clear documentation for others</li></ul><p></p><p><b>
Who This Role Is Not For</b></p><p>
This role may not be the right fit if you:</p><ul><li>
Prefer to work without clarifying definitions, assumptions, or data edge cases with stakeholders</li><li>
Want to build pipelines without caring about data quality, monitoring, or downstream usability</li><li>
Avoid ownership for debugging issues, improving reliability, or documenting what you build</li></ul></div></div><p></p>
The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.<p></p>
Agile Methodology, Business Requirements, Communication, Computer Programming, Configuring (Inactive), Data Analysis, Financial Processing, Information Systems, Software Development, Structured Query Language (SQL), Systems Analysis, Systems Development Lifecycle (SDLC), Teamwork, Test Environments, Troubleshooting, Waterfall Model, Workflow Management<p></p><p><b>
Pay Range:</b></p>
United States of America: 124,600 USD - 148,200 USD<p></p><p><i>
Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.</i></p><p></p><p><b>
Annual Incentive Reference Value Percentage:</b></p>
15<p></p><p><i>
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.</i></p><p></p><p><b>
Location(s):</b></p>
United States of America<p></p><p><b>
City/Cities:</b></p>
Atlanta<p></p><p><b>
Travel Required:</b></p>
00% - 25%<p></p><p><b>
Relocation Provided:</b></p>
Yes<p></p><p><b>
Job Posting End Date:</b></p>
June 24, 2026<p></p><p><b>
Our Purpose and Growth Culture:</b></p><p></p><p>
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what&rsquo;s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors &ndash; curious, empowered, inclusive and agile &ndash; and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.</p><p></p>
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.<br>
<br>
Pay Range:United States of America: 0 USD - 0 USD<br>
Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.<br>
<br>
Annual Incentive Reference Value Percentage:15<br>
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.<br>
<br>
Long-term Incentive Reference Value Percentage:0 - 20<br>
Long-term Incentive reference value is a market-based competitive value for your role.</div>

Data Engineer

REPLY

<div><div>Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.</div>
<div></div>
<div>We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role requires both deep technical expertise and strong consulting skills to translate business needs into scalable solutions and communicate effectively with all stakeholders. You will help architect and deliver high-quality data solutions that drive measurable business value.</div>
<h3 class="jobSectionHeader"><b>Responsibilities</b></h3><div>
<ul><li>Work directly with clients to understand business goals, data challenges, and technical requirements.</li>
<li>Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews.</li>
<li>Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources.</li>
<li>Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases.</li>
<li>Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks.</li>
<li>Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security.</li>
</ul></div><h3 class="jobSectionHeader"><b>Minimum Requirements</b></h3><div>
<ul><li>Bachelor&rsquo;s degree in computer science or related field</li>
<li> 6+ years of experience in data engineering, data platform development, or cloud data solutions</li>
<li> 3+ years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies</li>
<li>Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL</li>
<li>Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI .</li>
<li>DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)</li>
<li>Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies</li>
</ul></div><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3><div>
<ul><li>Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment.</li>
<li>Experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents</li>
<li>Experience with data management, including data governance, data security, master data management, and familiarity with different industry security requirements</li>
<li>Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft</li>
</ul></div><div><div>About Reply</div>
<div></div>
<div>Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.</div>
<div></div>
<div>Reply is an equal opportunity employer. We are committed to providing equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you need assistance or reasonable accommodation due to a disability during the application or recruiting process, email jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles.</div><br>
<div></div>
</div>
<p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Senior Data Engineer

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>

Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Short Description</b></h2>
</div><div><p><b>Location:</b>
<br>
Fort Mill, SC</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div><p>1. Markit EDM CADIS Core Development</p>
<ul><li>Lead design and development of enterprise MDM solutions on Markit EDM CADIS</li>
<li>Architect and implement</li>
<li>Core Matcher frameworks entity resolution survivorship rules</li>
<li>Golden Record creation and lifecycle management</li>
<li>Develop E2E data mastering pipelines including</li>
<li>Data Constructors</li>
<li>Data Porters</li>
<li>Data Flows Rules Engines</li>
<li>Ensure scalability reusability and performance optimization
<br>
2. Workflow UI Data Governance</li>
<li>Design and develop Workflow UI components</li>
<li>WF Pages WF Elements userdriven stewardship flows</li>
<li>Implement data governance workflows approval exception handling audit trails</li>
<li>Enable data lineage transparency and stewardship across domains especially PartyClient
<br>
3. EventDriven RealTime Architecture</li>
<li>Implement realtime data processing and notifications using</li>
<li>Apache Kafka Confluent</li>
<li>Eventdriven EDM triggers</li>
<li>Design near realtime mastering and synchronization patterns</li>
<li>Integrate EDM into enterprise event ecosystems
<br>
4. API Microservices Integration</li>
<li>Develop and expose RESTful APIs using</li>
<li>Data Generators</li>
<li>Process Launchers</li>
<li>Integrate with microservices architecture Spring Boot Java Nodejs</li>
<li>Enable APIfirst EDM integration strategy across systems
<br>
5. Cloud Modern Data Platform</li>
<li>Deploy and manage EDM solutions on AWS or Azure equivalent</li>
<li>AWS Glue ETL orchestration</li>
<li>Lambda serverless triggers</li>
<li>S3 Data Lake integration</li>
<li>RDS Aurora</li>
<li>SNSSQS eventing</li>
<li>Integrate EDM with modern data platforms</li>
<li>Snowflake Databricks Redshift</li>
<li>Design hybrid architecture</li>
<li>EDM golden source Data Lake analytical layer</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Job Description - Grade Specific</b></h2>
</div><div><ul><li>6. Data Engineering Advanced Processing</li>
<li>Work with Python PySpark Spark SQL for</li>
<li>Data transformation</li>
<li>Enrichment pipelines</li>
<li>Largescale data processing</li>
<li>Handle ingestion from</li>
<li>APIs flat files streaming feeds databases</li>
<li>Optimize largevolume batch and streaming pipelines
<br>
7. DevOps CICD Infrastructure</li>
<li>Build and maintain CICD pipelines for EDM</li>
<li>GitHub GitLab</li>
<li>Octopus Deploy Jenkins Azure DevOps</li>
<li>Use Infrastructure as Code IaC</li>
<li>Terraform CloudFormation</li>
<li>Implement</li>
<li>Automated deployments</li>
<li>Environment promotion</li>
<li>Version control strategies
<br>
8. Containerization Platform Engineering</li>
<li>Work with Docker Kubernetes EKSAKS for</li>
<li>Microservices deployment</li>
<li>Integration layers around EDM</li>
<li>Enable scalable resilient cloudnative deployments
<br>
9. Observability Performance Engineering</li>
<li>Implement monitoring and logging using</li>
<li>Splunk ELK Prometheus Grafana CloudWatch</li>
<li>Performance tuning of matchers and batch jobs</li>
<li>Rootcause analysis and production support
<br>
10. Database Data Modeling</li>
<li>Design and optimize across</li>
<li>SQL Server Oracle PostgreSQL</li>
<li>Snowflake cloud native warehouses</li>
<li>Develop</li>
<li>Complex SQL</li>
<li>Stored procedures</li>
<li>Indexing and performance tuning strategies
<br>
11. Leadership Delivery</li>
<li>Lead onsite offshore model delivery</li>
<li>Act as technical SME and solution architect for EDM</li>
<li>Collaborate with Business Analysts, Data Architects &amp; Scrum Teams</li>
<li>Conduct code reviews, design reviews, release governance
<br>
<b>Required Qualifications</b></li>
<li>5-10 years of experience in MDM with 5 years in Markit EDM IHS
<br>
Strong expertise in:</li>
<li>Core Matcher design</li>
<li>Data mastering pipelines</li>
<li>WorkflowUI development</li>
<li>Handson experience with</li>
<li>Kafka or equivalent streaming</li>
<li>AWS cloud services</li>
<li>REST API development</li>
<li>Strong database experience across RDBMS cloud data warehouses</li>
<li>Experience with CICD Git Terraform</li>
<li>Proficiency in Python or Sparkbased data processing
<br>
<b>Preferred Qualifications</b></li>
<li>Experience with Markit EDM Cloud 19x</li>
<li>Strong domain knowledge in</li>
<li>Party Client Instrument MDM</li>
<li>Experience with:</li>
<li>Databricks Snowflake ecosystems</li>
<li>Microservices architecture Spring Boot Nodejs</li>
<li>Kubernetes containerization</li>
<li>Exposure to data governance frameworks Collibra Alation etc
<br>
<b>Key Competencies</b></li>
<li>Deep expertise in Markit EDM modern data ecosystem</li>
</ul></div></div></div><p>The base compensation range for this role in the posted location is: 105,000 - 115,000</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><br>
<p></p><p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><br>
<p></p><p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p></p>
<p></p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div><p></p>

FSSBU - Markit EDM Developer - C2 - LPL

E Tech Group

<div><p>At E Tech Group, joining our team means joining a group of passionate and forward-thinking experts. We're one of the largest engineering and system integration firms in the United States providing value for our clients through IT automation and control solutions for more than 30 years to the Life Sciences, Mission Critical, Metals &amp; Mining, Warehousing &amp; Distribution, and CPG/Food &amp; Beverage industries. Our national and global scale allows us to help our clients develop and implement standardized solutions at any of their facilities regardless of physical location or the local resources available at that site.</p>
<p>
We're adding to the E Tech Group Team! We seek early-career engineers interested in mission-critical infrastructure. As an Entry-Level Data Center Engineer, you'll support the design, implementation, and commissioning of data center systems, working alongside experienced engineers across power, cooling, controls, and network infrastructure.</p>
<p>
This role is hands-on and fast-paced; you'll gain exposure to real-world projects while developing the technical and professional skills needed to grow into a fully independent engineer. We offer clear paths to advance into Controls, Electrical, or Project Engineer roles.</p><br>
<p></p>
<p><b>
 You Will:</b></p>
<ul>
<li>Support engineering and project teams in the design and deployment of data center infrastructure systems (power, cooling, controls, and monitoring)</li>
<li>Assist with development of technical documentation including drawings, specifications, and commissioning plans</li>
<li>Participate in on-site activities such as system testing, startup, and commissioning</li>
<li>Help troubleshoot system issues across electrical, mechanical, and controls systems</li>
<li>Support integration of Building Management Systems (BMS) and Data Center Infrastructure Management (DCIM) platforms</li>
<li>Work with senior engineers to ensure designs meet client requirements, industry standards, and uptime expectations</li>
<li>Maintain accurate project documentation and contribute to project reporting</li>
<li>Collaborate with cross-functional teams including project managers, field technicians, and client</li>
<li>Be an ambassador who embodies our Core Values, prioritizing the success of E Tech Group, our clients, and the professional development of our associates.</li></ul><br>
<p></p>
<p><b>
You Have:</b></p>
<ul>
<li>Bachelor's degree in Electrical Engineering, Mechanical Engineering, or related field</li>
<li>0&ndash;2 years relevant experience; internships, co-ops, and lab work preferred.</li>
<li>Foundational understanding of electrical or mechanical systems</li>
<li>Strong problem-solving skills and willingness to learn in a hands-on environment</li>
<li>Ability to read and interpret basic technical drawings and schematics</li>
<li>Willingness to travel 30-50% (mostly local with remote support)</li>
<li>A DNA comprised of collaboration and teamwork.</li></ul><br>
<p></p>
<p><b>
You may have:</b></p>
<ul>
<li>Exposure to data center environments or mission-critical facilities</li>
<li>Familiarity with:</li>
<li>Exposure to PLC or DDC controlled data center projects</li>
<li>HVAC or cooling systems.</li>
<li>PLCs, SCADA, or BMS platforms</li>
<li>Experience with AutoCAD, Revit, or similar design tools</li>
<li>Basic understanding of networking concepts or industrial controls</li>
<li>Internship experience with a contractor, OEM, or system integrator</li></ul><br>
<p></p>
<p><b>
Benefits &amp; Perks:</b></p>
<ul>
<li>401k + match + prompt enrollment. E Tech Group employees are 100% vested upon entry.</li>
<li>Prompt enrollment into Medical, Dental, and Vision benefits.</li>
<li>Generous paid time off that includes paid vacation, paid holidays, paid family leave and sick time off.</li>
<li>Learning and growth are key parts of the E Tech culture. We provide you with training and continuing education from day one, so you can advance your career. As an E Tech associate, you can unlock your greatest potential through challenges and opportunities.</li></ul><br>
<p></p>
<p><i>
E Tech Group is an Equal Opportunity Employer. Applicants are considered for employment without regard to race, color, religion, sex, age, disability, military status, genetic information, gender identity, sexual orientation, citizenship status, or any other basis prohibited by law. E Tech Group will provide reasonable accommodations to qualified individuals with disabilities and for religious beliefs. E Tech Group is an Affirmative Action Employer of individuals with disabilities and protected veterans.</i></p></div><p></p>

Engineer I

Delta Air Lines

<div><div><div><div><div><p><b>United States, Georgia, Atlanta</b></p>
<p><b>Information Technology</b></p>
<p><b>15-Jun-2026</b></p>
<p><b>Ref #: 32774</b></p>
</div></div></div></div><div><div><div><div><h3 class="jobSectionHeader"><b>How you'll help us Keep Climbing (overview &amp; key responsibilities)</b></h3>
</div></div><div><div><p>At Delta Air Lines, we are continually looking to build a high performing, self-motivated team of technologists who embrace new technologies to enhance the customer and employee experience.</p>
<p>We are looking for an <b>Innovation &amp; AI Engineering Intern</b> to design and develop machine learning and AI-based products that incorporate cutting-edge technology. Just a heads up, this isn&rsquo;t a typical engineering role.</p>
<p>As an<b> Innovation &amp; AI Engineering Intern </b>at Delta, you will own projects from day 1. You will be responsible for:</p>
<ul><li>Engaging with business stakeholders and customers to identify problem areas</li>
<li>Developing and modifying state-of-the-art ML models to build robust and holistic solutions</li>
<li>Collaborating with other engineers, strategists, and designers to think of customer experiences that can be transformed by machine learning and AI</li>
<li>Presenting project updates to leaders across multiple business units</li>
<li>Leveraging advancements in technology and brainstorming ways to incorporate them into different areas of Delta</li>
</ul></div></div></div></div><div><div><div><div><h3 class="jobSectionHeader"><b>Benefits and Perks to Help You Keep Climbing</b></h3>
</div></div><div><div><ul><li>Experience travel and culture through Delta&rsquo;s unmatched flight benefits</li>
<li>Incredibly passionate, empathetic, and truly talented team members across engineering, strategy, venture, and design functions</li>
<li>Freedom of working on a small team while having the impact of a team that drives innovation forward at a huge company</li>
<li>Excitement of working on customer-facing projects that can ship within weeks</li>
<li>Offices located in Midtown in Atlanta, adjacent to Georgia Tech campus, and near Delta HQs</li>
</ul></div></div></div></div><div><div><div><div><h3 class="jobSectionHeader"><b>What you need to succeed (minimum qualifications)</b></h3>
</div></div><div><div><div><ul><li>Experience developing machine learning models (e.g., neural networks, deep reinforcement learning, gradient boosted trees, etc.) using Python, TensorFlow, PyTorch, or other machine learning platforms</li>
<li>Must be actively enrolled in an undergraduate accredited college, university, or institution during the duration of the program.</li>
<li>Understanding of machine learning best practices such as training/serving models, feature engineering, and feature/model selection</li>
<li>Knowledgeable about different machine learning domains like natural language processing, computer vision, personalization and recommendation, and anomaly detection</li>
<li>Flexibility to learn and work on things outside of your comfort zone</li>
<li>You&rsquo;re self-driven, take pride in your work, and find satisfaction in building interesting things</li>
<li>You can adapt and explain a neural network to your lead engineer and to a 5-year-old</li>
<li>You embrace different perspectives and styles of thinking</li>
<li>Demonstrates that privacy is a priority when handling personal data</li>
<li>Embraces a diverse set of people, thinking and styles</li>
<li>Consistently makes safety and security, of self and others, the priority</li><br>
</ul><br>
</div><ul><li><i>Consistently prioritizes safety and security of self, others, and personal data.</i>
</li><li><i>Embraces diverse people, thinking, and styles.</i>
</li><li><i>Possesses a high school diploma, GED, or high school equivalency.</i>
</li><li><i>Is at least 18 years of age and has authorization to work in the United States.</i>
</li></ul></div></div></div></div><div><div><div><div><h3 class="jobSectionHeader"><b>What will give you a competitive edge (preferred qualifications)</b></h3>
</div></div><div><ul><li></li></ul></div></div></div></div><div></div>

Intern, Innovation - AI Engineering (Fall 2026)

The Home Depot

<p>Position Purpose:<br/>As a Software Engineer Manager, you will have the opportunity to contribute to the development of innovative products while supporting the growth of the next generation of engineering talent. In this role, you will be responsible for driving strategic technology decisions, building scalable and resilient systems, and delivering solutions that align with organizational objectives, including retail and promotional pricing as well as pricing optimization initiatives.<br/></p><p>In addition, you will collaborate with strategic vendors to ensure that third-party tools and applications are accessible and effectively leveraged by product teams. You will also play a key role in guiding the adoption of AI/ML-driven solutions to enable data-driven decision-making and enhance automation across the organization.<br/></p><p>Key Responsibilities:<br/></p><p>40% Delivery &amp; Execution:<br/></p><p>Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions<br/></p><p>Drives strategic technical decisions and influences architecture to build highly scalable, performant, and resilient systems<br/></p><p>Designs and implements solutions incorporating AI/ML capabilities to improve automation, forecasting, and business outcomes<br/></p><p>Builds and enhances systems supporting retail pricing, promotions, and optimization, ensuring accuracy, scalability, and performance<br/></p><p>Documents, reviews and ensures that all quality and change control standards are met<br/></p><p>Writes custom code or scripts to automate infrastructure, monitoring services, and test cases<br/></p><p>Works with vendors and partners for the successful implementation of critical tooling and platforms<br/></p><p>Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively<br/></p><p>Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment<br/></p><p>Evaluates new technologies, including AI/ML platforms and tools, for adoption across the enterprise<br/></p><p>Participates in and leads review board sessions to drive consistency across the enterprise<br/></p><p>Fills in on product teams for engineers who are out of the office<br/></p><p>20% Support &amp; Enablement:<br/></p><p>Fields questions from business, engineers, product teams, or support teams<br/></p><p>Monitors tools and participates in conversations to encourage collaboration across product teams<br/></p><p>Provides application support for software running in production<br/></p><p>Acts as a technical escalation point for the engineers on the team, especially for complex system and pricing-related issues<br/></p><p>30% People:<br/></p><p>Provides leadership, mentoring, and coaching to Software Engineers<br/></p><p>Actively develops team capabilities in modern engineering practices, AI/ML adoption, and system design<br/></p><p>Attracts, retains, and develops top talent to build a world class Software Engineering Team<br/></p><p>Conducts annual and mid-year reviews by reviewing individual development plans and team feedback<br/></p><p>Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests<br/></p><p>Acts as a proponent of modern software development practices and data-driven decision-making<br/></p><p>Guides team members in strategic thinking, alignment, analysis, and execution tasks within and across product teams<br/></p><p>Builds a culture of continuous learning, innovation, and engineering excellence focused on scalable systems<br/></p><p>Participates in and contributes to learning activities around modern software design and development core practices (communities of practice)<br/></p><p>10% Learning:<br/></p><p>Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations<br/></p><p>Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems<br/></p><p>Stays current with advancements in AI/ML, retail pricing technologies, and large-scale distributed systems<br/></p><p>Direct Manager/Direct Reports:<br/></p><p>Reports to the Software Engineer Sr. Manager<br/></p><p>Travel Requirements:<br/></p><p>Typically requires overnight travel 5% to 20% of the time.<br/></p><p>Physical Requirements:<br/></p><p>Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.<br/></p><p>Working Conditions:<br/></p><p>Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.<br/></p><p>Minimum Qualifications:<br/></p><p>Must be eighteen years of age or older.<br/></p><p>Must be legally permitted to work in the United States.<br/></p><p>Mastery of an object oriented programming language (preferably Java)<br/></p><p>Must be legally permitted to work in the United States<br/></p><p>Preferred Qualifications:<br/></p><p>7-9 years of relevant work experience<br/></p><p>Mastery of a modern programming language (preferably java &amp; Python)<br/></p><p>Experience productionizing statistical models, AI/ML systems, and Generative AI solutions at enterprise scale<br/></p><p>Experience working with or integrating AI/ML models and data-driven systems<br/></p><p>Experience with retail pricing systems, promotions, or price optimization platforms<br/></p><p>Mastery of a modern web application framework such as Ruby on Rails, Spring MVC, and Node.js<br/></p><p>Mastery of writing SQL queries against a relational database and No SQL databases<br/></p><p>Experience championing AI agents to improve developer productivity, accelerate delivery, and enhance team effectiveness.<br/></p><p>Experience managing large-scale solution delivery in highly matrixed and cross-functional environments.<br/></p><p>Mastery of modern product development processes and pipelines<br/></p><p>Proficient in effective troubleshooting and issue resolution techniques<br/></p><p>Proficient in effective system monitoring and log analysis techniques<br/></p><p>Capable of understanding complicated systems quickly<br/></p><p>Experience in guiding more junior team members through Software Engineering fundamentals in a professional setting<br/></p><p>Experience managing and growing team members in a professional setting<br/></p><p>Experience balancing workloads across teams<br/></p><p>Experience managing vendor relationships<br/></p><p>Experience with translating high level strategy to tactical execution<br/></p><p>Experience building and scaling distributed, high-availability systems<br/></p><p>Minimum Education:<br/></p><p>The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.<br/></p><p>Preferred Education:<br/></p><p>No additional education<br/></p><p>Minimum Years of Work Experience:<br/></p><p>7<br/></p><p>Preferred Years of Work Experience:<br/></p><p>No additional years of experience<br/></p><p>Competencies:<br/></p><p>Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs<br/></p><p>Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders<br/></p><p>Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals<br/></p><p>Business Insight: Applying knowledge of business, retail pricing, and the marketplace to advance the organization's goals<br/></p><p>Collaborates: Building partnerships and working collaboratively with others to meet shared objectives<br/></p><p>Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences<br/></p><p>Develops Talent: Developing people to meet both their career goals and the organization's goals<br/></p><p>Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives<br/></p><p>Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action<br/></p><p>Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear<br/></p><p>Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics<br/></p><p>Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations<br/></p>

Software Engineer Manager (Remote)

Explore 90+ Data engineer in Atlanta this June. Find roles across top companies and apply now to boost your career.

90 data engineer jobs In Atlanta

Data Engineer

Senior Data Engineer

Senior Data Engineer

FSSBU - Markit EDM Developer - C2 - LPL

Engineer I

Intern, Innovation - AI Engineering (Fall 2026)

Software Engineer Manager (Remote)