Capgemini

Senior GCP API Data Engineer

Capgemini$82K — $193K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 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

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 (12-25 days depending on grade)
  • Company paid holidays, personal days, and sick leave
  • Medical, dental, and vision coverage
  • Retirement savings plans (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
Full Job Description
Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.

Location

Anywhere in the USA

About the job you're considering

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.

Your role

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.

Your skills and experience

Required

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.

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).

#LI-SD1

The base compensation range for this role in the posted location is $82,082 TO $193.440

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
  • 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

About Capgemini

Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The company is headquartered in Paris, France and operates in over 50 countries. Capgemini provides a range of services including strategy and transformation, application services, technology services, and engineering services. The company serves clients in a variety of industries including automotive, consumer products, financial services, healthcare, and retail.
Learn more about Capgemini
Industry
Founded
1967
NASDAQ

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