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Data Engineer
| Company | Sigma Computing |
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| Location | New York, NY, USA |
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| Salary | $140000 – $180000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Mid Level, Senior |
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Requirements
- Strong knowledge and experience of working with APIs and building data pipelines from various systems into Cloud Data Platforms (e.g., Snowflake, Databricks)
- 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.
- Experience deploying data governance frameworks with a scalable and repeatable process
- 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
- Startup experience
Responsibilities
- Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma (Tech we use: Fivetran, dbt, Snowflake, Sigma, Hightouch, Metaplane)
- Build foundational processes for scaling our demo asset data across various Cloud Data Warehouses
- Partner with our infrastructure engineering team to ensure high availability of all key data assets
- Build and scale our data governance policies
- Work cross functionally to accomplish all of the above! You’ll work across Product, Engineering, GTM—with users of all skills and levels
Preferred 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)
