Data Engineer
$140,000–$180,000 year
On-siteNew York City, New York, 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 various Cloud Data Warehouses and partner with infrastructure engineering to ensure high availability of key data assets. Develop and scale data governance policies while collaborating cross-functionally with Product, Engineering, and GTM teams. Work across diverse user skill levels to support greenfield projects within our AI apps and agentic analytics platform.
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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