GCP API Data Engineer

Capgemini • Nashville, TN

5d • Remote

About The Position

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.

Requirements

• 10+ years of IT experience with 5+ years in Data Engineering.
• 2+ years of hands-on experience with Google Cloud Platform.
• Strong experience with BigQuery, Cloud Storage, Dataflow/Dataproc, Pub/Sub, and APIs.
• Proficiency in SQL, data modeling, ETL/ELT, and streaming architectures.
• Experience with CI/CD, Git/GitHub, and Agile methodologies.
• Strong communication skills and ability to mentor junior engineers.

Nice To Haves

• 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).

Responsibilities

• 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.

Benefits

• Vacation: 12-25 days, depending on grade
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree
• Number of Employees: 5,001-10,000 employees