SC
$140,000 – $180,000
Listed on Sigma Computing’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A data platform engineer role focused on building and maintaining cloud data warehouse architecture and ETL pipelines at Sigma, a data analytics platform company. This suits engineers who want hands-on experience with modern data stacks like Snowflake and Databricks while contributing to a fast-growing startup with broad enterprise adoption.
Our summary, not Sigma Computing’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Apache Airflow
- Databricks
- Dialectical Behavior Therapy (DBT)
- Hightouch
- Python
- Snowflake
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What they ask for
Required
- 3+ years of data engineering experience
- Strong knowledge of APIs and building data pipelines into cloud data platforms
- Experience deploying data governance frameworks
- Strong communication and collaboration skills
- Ability to work effectively in ambiguous, fast-moving environments
- Startup experience
Nice to have
- Familiarity with dbt
- Advanced Python knowledge
- Advanced knowledge of orchestrators like Airflow, Astronomer, or Dagster
- Advanced knowledge of public clouds like AWS or GCP
- Drive to continuously learn about the data ecosystem