[Hiring] Google Cloud API Data Engineer @Capgemini
Google Cloud API Data Engineer @Capgemini
Data and Analytics
Salary usd 88,544 - 20..
Remote Location
๐Ÿ‡บ๐Ÿ‡ธ USA Only
Employment Type full-time
Posted 2d ago

[Hiring] Google Cloud API Data Engineer @Capgemini

2d ago - Capgemini is hiring a remote Google Cloud API Data Engineer. ๐Ÿ’ธ Salary: usd 88,544 - 207,401 per year ๐Ÿ“Location: USA

Role 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.

We are seeking a Senior Staff Data Engineer โ€“ 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.

  • 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.

Qualifications

  • 10+ 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.
  • Strong experience with:
    • BigQuery, Cloud Run, GKE, Cloud Functions
    • Python (FastAPI), Java, or Scala
    • Apigee, Kafka, Spark Streaming
    • SQL, CI/CD, Git/GitHub
  • 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.

Requirements

  • Experience with Apigee, Python (FastAPI), Spark, Kafka, Vertex AI.
  • Google Cloud Professional Data Engineer Certification.
  • Bachelorโ€™s degree in computer science or related field (Masterโ€™s preferred).

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 (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.
Before You Apply
๏ธ
๐Ÿ‡บ๐Ÿ‡ธ Be aware of the location restriction for this remote position: USA Only
โ€ผ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Google Cloud API Data Engineer @Capgemini
Data and Analytics
Salary usd 88,544 - 20..
Remote Location
๐Ÿ‡บ๐Ÿ‡ธ USA Only
Employment Type full-time
Posted 2d ago
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๏ธ
๐Ÿ‡บ๐Ÿ‡ธ Be aware of the location restriction for this remote position: USA Only
โ€ผ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
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Sent Follow-Up โœ“
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