GCP Data Engineer

Key Responsibilities Design, build, and optimize data models and transformations in BigQuery using SQL , CTEs , window functions , and incremental logic . Develop modular, reusable pipelines using Dataform or dbt , ensuring proper documentation, dependencies, and version control. Collaborate with data architects, analysts, and business teams to define and maintain governed data layers . Maintain and validate Looker dashboards to ensure parity between legacy (Roadnet) and modernized data sources. Participate in the design of data architecture and lineage , ensuring consistency, scalability, and performance optimization. Partner with governance and infrastructure teams to establish best practices for data quality, model ownership, and CI/CD workflows. Automate and operationalize data tasks using Python , Cloud Functions , or Terraform (as applicable). Ideal Candidate Profile 5–9 years of experience in data engineering or analytics engineering roles. Proven experience in BigQuery , dbt/Dataform , and Looker within the GCP environment . Strong understanding of data architecture , lineage , and governed data modeling . Hands-on experience with SQL performance optimization and data quality management . Excellent collaboration and communication skills to work with cross-functional teams. Exposure to transportation, logistics, or routing analytics is a plus.

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