GCP API Data Engineer

Senior GCP API 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.
 
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).

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.

Job Description - Grade Specific

The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effectively to drive business outcomes.

The base compensation range for this role in the posted location is $76,200 to $187,740.

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 th