Data Engineer
Sigma Computing4 months ago
Base Salary
$140k - $180k/yr
Responsibilities
- Architect and manage production data pipelines in Snowflake and their consumption within Sigma.
- Build foundational processes to scale demo asset data across multiple cloud data warehouses.
- Scale Terraform deployment across Snowflake assets.
- Advance data governance policies through scalable and repeatable processes.
- Collaborate with Analytics, Infrastructure Engineering, Product, Engineering, and go-to-market teams.
Requirements
- At least 3 years of relevant data engineering experience.
- Strong experience working with APIs and building data pipelines from various systems into cloud data platforms such as Snowflake and Databricks.
- Experience deploying scalable and repeatable data governance frameworks.
- Advanced Python knowledge.
- Advanced knowledge of data orchestrators such as Astronomer, Airflow, or Dagster.
- Advanced knowledge of public clouds such as AWS or GCP.
- Familiarity with dbt and strong knowledge of the evolving data ecosystem.
- Startup experience and strong communication, collaboration, and execution skills.
Benefits
- Base salary range of $140k–$180k annually, plus stock options and a comprehensive benefits package.
- Generous health benefits, flexible time off, paid bonding time for new parents, and traditional and Roth 401(k) plans.
- Commuter and FSA benefits, lunch program, and dog-friendly offices.
- In-office work environment in San Francisco, New York City, London, and Sydney.
Tech Stack
Categories
Data Engineering
About Sigma Computing
Sigma Computing builds an AI apps and analytics platform that runs directly on cloud data warehouses for business and technical teams to explore live data, build apps, and automate workflows. It’s delivered as SaaS with spreadsheet, SQL, and Python interfaces for governed reporting, embedded analytics, and data applications. Privately held in San Francisco, it serves customers like JPMorgan Chase and Colgate-Palmolive and raised a Series E round in May 2026.