Data Engineer: Merchant Intelligence Agent

Role overview Build the data foundation for analytics and an AI assistant that helps e-commerce teams understand shopper behavior and identify business opportunities. You’ll own batch pipelines, analytical models, and data quality, while working with product and engineering partners to turn merchant questions into useful product capabilities.

Responsibilities - Develop and maintain batch data pipelines and analytical cubes that support dashboards and assistant insights. - Model shopper, trend, and benchmark data across the shopping journey, with views tailored to different business roles. - Define and maintain trusted metrics; monitor data freshness, set up alerts, and respond to pipeline issues. - Partner with engineering, analytics, and product teams to identify missing data and translate business questions into data products. - Make data usable in product features, including analytics interfaces and assistant tools or prompts.

Requirements - Proficiency in Python and SQL, plus experience building batch pipelines with Spark or PySpark. - Familiarity with Databricks, ClickHouse, and dbt. - Experience modeling analytics data into aggregated tables or cubes for dashboards and APIs. - Experience with data quality checks, monitoring, alerting, and incident response. - Ability to prototype quickly, identify meaningful e-commerce metrics, and translate between business and technical needs. - Clear communication with both engineering teams and non-technical partners.

Nice to have - Frontend experience or interest in working across the stack to deliver data features. - Familiarity with pandas, NumPy, AWS, real-time analytics, or experimentation statistics. - Experience building AI agents, including their tools, prompts, context, and evaluations.

Benefits and work setup The role is fully remote, with a home-office stipend and company laptop. Benefits include unlimited vacation with a recommended minimum of three weeks, an annual learning budget, eligible parental leave, stock options, and team gatherings. The stated base salary range is USD 80,000–120,000, depending on skills and experience.