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




















