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

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)

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

Senior GCP API Data Engineer

Key skills