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Data Engineer - Gen AI

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Capgemini
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 110000 - 115000 USD Yearly USD 110000.00 115000.00 YEAR
Job Description & How to Apply Below

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Key Responsibilities:
  • Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks.
  • Ingest, transform, and curate structured and unstructured data from diverse sources for AI/ML consumption.
  • Optimize data workflows for performance, reliability, and cost-efficiency.
  • Enable data access and preparation for Azure AI services including Azure Machine Learning, Azure OpenAI, and Cognitive Services.
  • Collaborate with data scientists and ML engineers to operationalize AI models using MLOps and GenAIOps practices.
  • Support RAG (Retrieval-Augmented Generation) and other GenAI patterns through data engineering best practices.
  • Implement CI/CD pipelines for data workflows using Azure Dev Ops or Git Hub Actions.
  • Automate infrastructure provisioning using Terraform, Bicep, or ARM templates.
  • Monitor and troubleshoot data pipelines and cloud resources using Azure Monitor and Log Analytics.
Skills and

Qualifications:
  • 8- 10+ years of experience in data engineering, cloud platforms, and big data technologies.
  • Strong proficiency in Azure services:
    Data Factory, Synapse, Data Lake, Azure SQL, Cosmos DB.
  • Experience with Python, Spark, SQL, and distributed data processing.
  • Familiarity with AI/ML workflows and tools such as Azure ML, MLflow, and OpenAI APIs.
  • Understanding of data governance, security, and compliance in cloud environments.
Life at Capgemini:
  • Flexible work
  • Healthcare including dental, vision, mental health, and well-being programs
  • Financial well-being programs such as 401(k) and Employee Share Ownership Plan
  • Paid time off and paid holidays
  • Paid parental leave
  • Family building benefits like adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits like subsidized back-up child/elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups
  • Disaster Relief
Disclaimer:

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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.

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 accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant

Salary Information:

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future.

The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At…

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