Role: Senior Data Engineer
Location: Remote / Hybrid (San Francisco, CA) Tech Stack: Python, SQL, Spark, Airflow, Snowflake, AWS
What You’ll Do (Responsibilities)
What You’ll Need (Requirements)
What You’ll Get (Benefits)
Pipeline Architecture: Design, build, and scale robust ETL/ELT pipelines.
Technical Depth: 4+ years of experience with Python and Big Data tools (Spark/Flink).
Comp: $150k – $190k + meaningful equity package.
Data Modeling: Structure our "Single Source of Truth" in Snowflake for BI teams.
SQL Mastery: Expert-level analytical SQL and experience in dimensional modeling.
Setup: $2,000 home-office stipend + latest MacBook Pro.
Data Quality: Implement automated testing and observability (Great Expectations/Monte Carlo).
Cloud Native: Hands-on experience with AWS (S3, Redshift, Lambda) or GCP.
Wellness: 4-day work weeks once per month + premium health coverage.