80K–120K USD / year
Data Engineer: Merchant Intelligence Agent
DataRemote — worldwide
Published on 2026-11-13
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About this role
Build the data pipelines, analytical models, and cubes that power merchant dashboard analytics and AI-agent insights. Turn e-commerce business questions into trusted data products, and help ship those insights into product features.
About the company
Constructor is an AI search and product discovery platform for ecommerce that helps retailers improve conversion through personalized search and recommendations.
Stack
PythonSQLSparkPySparkDatabricksClickHousedbtCube.js
What you'll do
- Build and own batch pipelines and analytical cubes for dashboards and agent insights.
- Model shopper, trend, and benchmark data across the shopping journey.
- Shape analytics for different user roles, from merchandisers to executives.
- Own data quality, freshness monitoring, alerting, and metric definitions.
- Work with engineering, analytics, and product to turn merchant questions into data products.
- Ship data into analytics UIs and agent skills, tools, and prompts.
What we're looking for
- Proficiency in Python and SQL.
- Experience building and maintaining batch pipelines with Spark or PySpark.
- Familiarity with Databricks, ClickHouse, and dbt.
- Experience modeling analytics data for dashboards and APIs.
- Experience with data quality, monitoring, alerting, and incident response.
- Ability to prototype quickly and identify relevant e-commerce metrics.
- Ability to translate business questions into technical requirements and communicate clearly with technical and non-technical stakeholders.
Nice to have
- Frontend development experience or interest in full-stack work.
- Experience building AI agents, including tools, skills, prompts, context, and evaluations.
- Experience with real-time analytics.
- Experience with AWS.
- Familiarity with statistics for A/B testing.
Benefits
- Unlimited vacation, with a recommended minimum of three weeks per year.
- Fully remote work.
- Work-from-home stipend and Apple laptop.
- Annual training and development budget.
- Maternity and paternity leave for qualified employees.
- Stock options.
- Regular team offsites.