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# Referral Only - Senior GCP Data Engineer

- **Company:** Capgemini
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $73,150.0 - $174,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, BigQuery, Cloud Storage, Code Reuse, Continuous Integration, Data Architecture, Extract Transform Load (ETL), Data Security, Data Flow Control, Github, Python (Programming Language), Cloudera, SQL Databases, Data Streaming, Enterprise Data Management, Google Cloud, Apache Spark, Apigee, Fastapi, Information Technology, Deployment Automation, Apache Kafka, Data Management, Api Design, Data Pipelines
- **Published:** May 26, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=45b715538a1026e4

## About the Role

Do you have experience in SQL?, Do you have a Master's degree?, 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, 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 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.

Preferred

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).

## Description

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.


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