Staff Data Engineer

Responsibilities

• Design and build data pipelines that ingest data from varied internal sources into a central warehouse.
• Design performant, well-documented data models and schemas that can evolve with changing data and analytical needs.
• Build data quality checks and validation into every pipeline stage so bad data is identified before reaching downstream tables.
• Handle sensitive customer and user data responsibly through access control, redaction, and retention policies.
• Partner with product, engineering, finance, and revenue stakeholders to scope data sources and analytical tables.
• Enable teams to self-serve the data they need.

Requirements

• Builder mentality and experience creating zero-to-one products.
• Expertise in data modeling and SQL.
• Extensive experience building data pipelines in Python or Go.
• Experience with a cloud data warehouse such as Snowflake, BigQuery, or Redshift.
• Experience with pipeline orchestration or transformation tooling.
• Experience handling sensitive data, including access control and data retention practices.
• Intellectual curiosity and willingness to learn new technologies.
• Comfort changing areas of focus and working directly with stakeholders.
• Collaborative, transparent, and feedback-oriented approach.

Nice to Have

• Go is your preferred programming language.
• Background in mathematics or statistics.
• Knowledge of Airflow, dbt, or similar tools.

Compensation and Benefits

• Annual salary range: $222,000–$342,000.
• Extensive health coverage.
• Annual expense budget.
• Rest and recovery policies.
• Retirement savings plans.
• Professional development opportunities.