GCP Data Engineer (Google)
Core
Design, build, and scale massive, reliable data infrastructure and pipelines on Google Cloud Platform to power critical decisions and analytics for billions of users.
Role type
Senior GCP Data Engineer (Infrastructure & Pipelines)
Builds
End-to-end data processing systems, petabyte-scale data pipelines, and optimized data models for high-volume analytical workloads.
Domain
Cloud Infrastructure / Data Engineering / Google Cloud Platform
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Google Cloud Platform (GCP) expertise, Dataflow (Apache Beam), Cloud Composer (Apache Airflow), BigQuery, Pub/Sub, Terraform, Python, Bash, CI/CD, DataOps, containerization (Docker, Kubernetes), networking (VPC, load balancing, firewalls), cloud security principles
Preferred skills
GCP Professional Data Engineer Certification, GCP Cloud Architect/DevOps/Developer Certification, experience with Federal Government projects, advanced Infrastructure as Code
Technologies
Dataflow, Cloud Composer, BigQuery, Pub/Sub, Terraform, Docker, Kubernetes, Compute Engine, App Engine, Cloud Storage
Responsibilities
Develop and maintain scalable ETL/ELT pipelines; Architect and optimize BigQuery data models; Collaborate with Data Scientists and Engineers to ensure data quality; Monitor and troubleshoot production data systems; Explore and recommend new data technologies and cloud services
Seniority
Senior, hands-on IC
