Staff Data Engineer, Analytics
Afresh Technologies · Remote, San Francisco, California, United States
About this role
**Staff Data Engineer, Analytics** **About the Role:** Join Afresh as a Staff Data Engineer on the Data Science and Analytics team, leading the technical development of our analytics platform. You'll own the evolution of our data models, pipelines, and governance patterns that power our suite of data products—from standardized reports to AI-driven insight engines. **What You'll Do:** • Improve, extend, and optimize our data analytics architecture for reliable, accessible data • Collaborate across teams to understand data needs and build dimensional models, semantic layer metrics, and agentic tooling • Evolve data quality and governance processes • Mentor and upskill other engineers **Required Experience:** • 6+ years as a data engineer, analytics engineer, or similar role • Advanced SQL, dimensional modeling, and data warehouse design expertise • Proficiency in dbt and cloud data warehouse platforms (Databricks, Snowflake, BigQuery, etc.) • Experience with orchestration tools (Airflow, Dagster, or similar) • Modern semantic layer experience (LookML, Cube.dev, dbt MetricFlow, etc.) • Experience designing and optimizing billion+ row datasets • Exceptional communication and cross-functional collaboration skills • Strong ownership mindset and ability to learn new domains **Why Join Afresh:** ✓ Comprehensive health & wellness coverage ✓ Competitive salary + meaningful equity (U.S. employees) ✓ Flexible work setup with home office stipend ✓ Annual professional development budget ✓ Monthly wellness and telecom stipends ✓ Flexible PTO **About Afresh:** AI platform for grocery retail, helping eliminate food waste. 70% revenue growth in 2025, live in 10%+ of U.S. grocery market, prevented 200M+ lbs of food waste last year. *Remote positions available in: AL, AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, UT, VA, WI*
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