GCP API Data Engineer

Posted 1hrs ago

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Job Description

Senior Staff Data Engineer designing and building API-driven data platforms on Google Cloud Platform. Collaborating with engineers and scientists to implement best practices and mentor team members.

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

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
  • Experience with Apigee, Python (FastAPI), Spark, Kafka, Vertex AI preferred
  • Google Cloud Professional Data Engineer Certification preferred
  • Bachelor’s degree in Computer Science or related field (Master’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