Analytics Engineer
Owns full data stack including database architecture, ETL/ELT pipelines, integrations, and product/GTM reporting. Requires 4+ years experience, expert SQL/Python, ETL tools, data modeling, and statistics. Based in SF or NYC.
About the job
Responsibilities
- Design and manage database architecture and data models
- Build and maintain ETL/ELT pipelines and orchestration workflows
- Create and manage new data integrations across internal and external systems
- Own business reporting: datasets, dashboards, metrics, and self-serve analytics
- Ensure data quality, observability, governance, and documentation
Requirements
- 4+ years in a data engineering, data science, or full-stack data role
- Expert SQL and strong Python (or R)
- Experience with data modeling, warehouse architecture, and BI-oriented schema design
- Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)
- Experience building or maintaining BI reporting (Metabase a plus)
- Strong knowledge of statistics and experimentation
- Based in SF or NYC
Skills
SQL, Python, ETL, ELT, dbt, Airflow, Dagster, Data Modeling, Bi Reporting, Metabase, Statistics, Experimentation
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