Data Engineer
$140,000–$180,000 year
On-siteSan Francisco, California, United States
Job Summary
Architect and manage production data pipelines in Snowflake and Databricks, optimizing ETL processes for internal and external use cases. Build foundational processes for scaling demo asset data across cloud data warehouses while advancing data governance policies. Scale Terraform deployments across all Snowflake assets and collaborate cross-functionally with Product, Engineering, and GTM teams. Work on greenfield projects to develop data models that fuel trusted insights, leveraging a best-in-class stack including Fivetran, dbt, and Airflow. Partner closely with Analytics and Infrastructure Engineering teams to support Sigma's mission as a trusted AI analytics platform trusted by over 2,000 customers.
Required Qualifications
- Strong knowledge and experience of working with APIs and building data pipelines from various systems into Cloud Data Platforms (e.g., Snowflake, Databricks)
- Experience deploying data governance frameworks with a scalable and repeatable process
- Ability to thrive in ambiguous environments and get stuff done
- 3+ years of relevant experience working in a data engineering role
- Startup experience
Desired Qualifications
- A drive to continuously learn (and share those learnings) about the evolving data ecosystem
- Familiarity with dbt
- Advanced knowledge python knowledge
- Advanced knowledge and strong opinions around orchestrators (e.g., Astronomer, Airflow, Dagster)
- Advanced knowledge of working with public clouds (e.g., AWS, GCP)
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