Data Engineer: Merchant Intelligence Agent (Remote - Worldwide)

The team is fully remote, so you choose where you live. A fast-growing AI-first e-commerce search and discovery company is building an AI agent that helps merchandisers, product managers and executives grow their online business. The agent turns plain-language questions into answers grounded in each customer's own data and prepares changes for people to approve. You will own the batch data pipelines, analytics cubes and metric definitions that power the agent and the customer dashboard, which other internal teams build on.

What you'll do

• Build and maintain batch pipelines and cubes behind dashboard analytics and agent insights
• Model shopper, trend and benchmark data so the agent can surface opportunities across the shopping journey
• Shape data for each role, from category-level views for merchandisers to funnel steps for product managers and totals for executives
• Own data quality and trust, including freshness checks, monitoring, alerting and metric definitions
• Work with engineers, analysts and product to find missing data and turn merchant questions into data products
• Ship data into the product through simple analytics UIs and agent tools, skills and prompts

What you need

• Proficiency in Python and SQL (any dialect)
• Experience building and maintaining batch data pipelines with Spark (PySpark)
• Familiarity with Databricks, ClickHouse and dbt
• Experience modeling aggregated tables and cubes that feed dashboards and APIs
• Experience with data quality and pipeline monitoring, including freshness checks, alerting and incident response
• Ability to translate business questions into technical requirements and back, and to communicate clearly with engineers and non-technical stakeholders

Open to applicants anywhere in the world.

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