Staff Data Engineer, Analytics
Core
Technical leader of the analytics platform building data products (standardized reports, AI-driven insight engines, agentic analytics tools) for retail grocery partners to reduce food waste and drive enterprise decisions.
Role type
Staff Data Engineer (Analytics Platform Lead)
Builds
Enterprise-grade analytics platform serving internal teams and external grocery partners (Albertsons, Meijer, Wakefern)
Domain
Retail Grocery / Data Engineering / AI Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, dimensional modeling, data warehouse design, dbt, orchestration tools (Airflow/Astronomer/Dagster), semantic layers (LookML/Cube.dev/dbt MetricFlow), pipeline optimization for billion+ row datasets, AI model integration
Preferred skills
Cross-functional leadership, mentoring, domain adaptability
Technologies
Databricks, Snowflake, BigQuery, dbt, Airflow, Astronomer, Dagster, LookML, Cube.dev
Responsibilities
Own development and evolution of the analytics platform; build extensible dimensional models and semantic layer metrics; evolve data quality and governance processes; mentor and up-skill other engineers
Seniority
Staff, hands-on IC with leadership scope
