Referral - Senior GCP Data Engineer

Referral Only - Senior GCP Data Engineer

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 by a 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.

Anywhere in the USA but preferred in Atlanta, GA and Nashville, TN.

We are seeking a Senior Staff Data Engineer – API with strong Google Cloud Platform (GCP) experience to design, build, and support scalable enterprise data platforms. This role is hands‑on and highly collaborative, requiring strong problem‑solving skills and the ability to work in fast‑paced, matrixed environments.

• Design, build, and maintain scalable data pipelines and APIs on Google Cloud Platform.
• Develop automated workflows and data platforms that support analytics, reporting, and AI/ML use cases.
• Implement best practices for data security, governance, CI/CD, and automated deployment.
• Collaborate with data engineers, architects, data scientists, and business stakeholders.
• Produce high‑quality, reusable code and mentor team members on best practices.
• Support testing, deployment, monitoring, and production troubleshooting.

• 7+ years of IT experience with 5+ years in Data Architecture.
• Minimum 2+ years of hands‑on experience with Google Cloud Platform.
• 2+ years of API development experience.
• Solid understanding of Agile methodologies.
• Strong problem‑solving, communication, and collaboration skills.
• Strong experience with Big Query, Cloud Storage, Dataflow/Dataproc, Pub/Sub, and APIs.
• Proficiency in SQL, data modeling, ETL/ELT, and streaming architectures.
• Experience with CI/CD, Git/Git Hub, and Agile methodologies.
• Strong communication skills and ability to mentor junior engineers.

• Experience with Apigee, Python (FastAPI), Spark, Kafka, Vertex AI.
• Google Cloud Professional Data Engineer Certification.
• Bachelor’s degree in computer science or related field (Master’s preferred).

The base compensation range for this role is $73,150 to $174,000.

• 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.
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada).
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.

Capgemini is an Equal Opportunity Employer encouraging inclusion 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.

Capgemini is a responsible and diverse global company with 340,000 team members in more than 50 countries, delivering end‑to‑end services and solutions across technology and data platforms, backed by a strong over 55‑year heritage.