Data Engineer

Join Sigma's Data Platform team as a Data Engineer, where you'll be responsible for the underlying data architecture across Snowflake and Databricks, building and optimizing ETL pipelines, and working cross-functionally with various teams. Enjoy competitive pay, flexible scheduling, comprehensive health coverage, unlimited time off, and numerous other benefits.

• Architect and manage production data pipelines in Snowflake and how they are consumed in Sigma.
• Build foundational processes for scaling demo asset data across various Cloud Data Warehouses.
• Scale terraform deployment across all Snowflake assets and continue to advance data governance policies.
• Ability to thrive in ambiguous environments and get stuff done. We move fast and iterate quickly, and we want you to feel empowered to do exactly that
• 3+ years of relevant experience working in a data engineering role
• Strong communication and collaboration skills. You will primarily partner with the Analytics and Infrastructure Engineering teams internally at Sigma; your ability to work and collaborate closely with them will be integral to your success
• Startup experience
• Experience deploying data governance frameworks with a scalable and repeatable process
• Strong knowledge and experience of working with APIs and building data pipelines from various systems into Cloud Data Platforms (e.g., Snowflake, Databricks)
• 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)