We’re seeking a Data Engineer to modernize our data infrastructure and build a governed, AI-ready data platform. The ideal candidate will have 4–7 years of experience with data engineering, BigQuery, ELT/ETL architectures, and AI architecture.
Requirements
- 4–7 years of data engineering experience with demonstrated ownership of production data pipelines, cloud warehouses, and ELT/ETL architectures
- Strong hands-on proficiency with Google BigQuery, including schema design, query optimization, partitioning, clustering, and GCP cost management
- Advanced SQL skills (ability to audit and refactor complex legacy stored procedures) paired with proficiency in Python for API-based ingestion and automation
- Deep experience administering managed ingestion platforms like Fivetran and a strong working knowledge of dbt for transformation layer testing and documentation
Benefits
- Comprehensive medical, dental, and vision insurance options
- 401(k) plan with Company Match
- 15 days of PTO, plus 11 paid holidays and sick leave
- Performance-based bonus eligibility
- Equity if applicable