Data Engineer: Merchant Intelligence Agent

New

ConstructorE-commerce analytics

Fully remote team: choose where you liveFull-Time

SalaryBase salary: 80-120K USD, depending on knowledge, skills, experience, and interview results

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Job Details

Demonstrate proficiency in Python and SQL (any dialect).
Have experience building and maintaining batch data pipelines with Spark (PySpark).
Be familiar with Databricks, ClickHouse, and dbt.
Have experience modeling analytics data, including aggregated tables and cubes that feed dashboards and APIs.
Have experience with data quality and pipeline monitoring, including freshness checks, alerting, and incident response.
Be able to prototype quickly and select relevant e-commerce metrics.
Be able to translate business questions into technical requirements and explain technical requirements in business terms.
Communicate clearly with engineers and non-technical stakeholders.
Frontend UI experience or willingness to work across the full stack is a plus.
Experience with pandas, NumPy, AI agents, Cube.js, AWS, or statistics for A/B testing is a plus.

Build and own batch pipelines and cubes behind dashboard analytics and agent insights.
Model shopper, trend, and benchmark data so the agent can identify opportunities across the shopping journey.
Shape data for merchandisers, product managers, and executives.
Own data quality and trust through freshness, monitoring, alerting, and metric definitions.
Work with engineers, analysts, and product to identify missing data and turn merchant questions into data products.
Ship data into product features, including analytics UIs and agent skills, tools, and prompts.

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