Senior GCP API Data Engineer

Capgemini•Dallas, TX

2d•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

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
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs

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