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Data Engineer
Sigma Computing · New York, United States
About The Role
Join Sigma, a fast-growing startup, as a Data Engineer. In this high-visibility role, you will be responsible for the underlying data architecture across Snowflake and Databricks, building and optimizing various ETL pipelines, and working cross-functionally with Product, Engineering, and GTM teams. Enjoy competitive pay, flexible schedule, comprehensive health benefits, unlimited time off, and opportunities for professional development and career growth.
- Architect and manage production data pipelines in Snowflake and Databricks, ensuring high availability and scalability.
- Build and optimize ETL pipelines to support internal and external use cases, and establish foundational processes for scaling demo asset data.
- Collaborate cross-functionally with Product, Engineering, and GTM teams to implement data governance policies and best practices.
- If you’re a data engineer with a builder mindset, who wants to leverage a best-in-class stack, and genuinely is invested in Sigma’s mission, let’s chat!
- Startup experience
- 3+ years of relevant experience working in a data engineering role
- 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
- Experience deploying data governance frameworks with a scalable and repeatable process
- 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
- Strong knowledge and experience of working with APIs and building data pipelines from various systems into Cloud Data Platforms (e.g., Snowflake, Databricks)
- Advanced knowledge of working with public clouds (e.g., AWS, GCP)
- Familiarity with dbt
- Advanced knowledge and strong opinions around orchestrators (e.g., Astronomer, Airflow, Dagster)
- A drive to continuously learn (and share those learnings) about the evolving data ecosystem
- Advanced knowledge python knowledge
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