United States onlyWe are looking to add our first data focused hire to build our data infrastructure from the ground up. As an Analytics Engineer, you will collaborate with engineering to capture our data needs while adhering to our privacy principles, build our data stack and implement high-quality data pipelines, and create dashboards to track KPIs.
Requirements
- 4+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence, with ownership of production analytics systems.
- 2+ years of hands-on experience modeling analytics-ready data using dbt with SQL and/or Python.
- Expert-level SQL, including writing, optimizing, and debugging complex analytical queries.
- Deep experience with tools across the modern data stack
- Querying MPP analytical databases (Snowflake, Databricks, Redshift, BigQuery, etc)
- Building out BI (e.g., Omni, Tableau, Looker, Power BI, Sigma, Mode, Hex)
- Orchestrating data pipelines (e.g. Airflow, Dagster, Fivetran).
- Working proficiency in Python.
- Experience building and operating production data pipelines or data platforms, with strong software engineering practices (testing, CI/CD, code review).
- Experience with APIs and other integrations.
- Familiarity with AWS and self-hosted installs.
- Experience with analytics in privacy-preserving environments.
Benefits
- 401(k) match
- 100% coverage of medical, dental, and vision premiums for you and your dependents
- 12 weeks paid parental leave (for all parents, no waiting period)
- Stipends for family-forming needs
- Stipends for gender-affirming care
