[Hiring] Data Engineer @Constructor

Role Description

Build and own the batch pipelines and cubes behind dashboard analytics and agent insights.

• Model shopper, trend, and benchmark data so the agent can find opportunities across the shopping journey.
• Shape data for each role: a merchandiser's category, a product manager's funnel step, an executive's total.
• Own data quality and trust: freshness, monitoring, alerting, and metric definitions.
• Work with engineers, analysts, and product to find the data the agent is missing and turn merchant questions into data products.
• Ship your data into the product: simple analytics UIs, and the agent skills, tools, and prompts that use it.

Qualifications

• Proficiency in Python and SQL (any dialect).
• Experience building and maintaining batch data pipelines with Spark (PySpark).
• Familiarity with the big data stack: Databricks, ClickHouse and dbt.
• Experience with data modeling for analytics: aggregated tables and cubes that feed dashboards and APIs.
• Experience with data quality and pipeline monitoring: freshness checks, alerting, incident response.
• Ability to prototype fast and pick the metrics that matter in e-commerce.
• Ability to translate business questions into technical requirements, and back.
• Clear communication with engineers and non-technical stakeholders.

Requirements

• Experience building frontend UIs, or willingness to work across the full stack to ship data into product features.
• Experience with pandas, NumPy.
• Experience building AI agents: tools, skills, prompts, context, and evaluations.
• Experience with real-time analytics: ClickHouse, Cube.js.
• Experience with AWS.
• Familiarity with statistics for experimentation (A/B tests).

Benefits

• 🏝️ Unlimited vacation, with a recommended minimum of 3 weeks per year.
• 🌎 Fully remote team: choose where you live.
• 🛋️ Work-from-home stipend to set up your home office.
• 💻 Apple laptop for new employees.
• 🧑‍🎓 Annual training and development budget for every employee.
• 👪 Maternity and paternity leave for qualified employees.
• 🧠 Smart colleagues who help you grow and make a meaningful impact.
• 💵 Base salary: 80-120K USD, depending on knowledge, skills, experience, and interview results.
• 📈 Stock options, in addition to the base salary.
• 🎉 Regular team offsites to connect and collaborate.