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Data Engineer

Washington, DC💼 Full-time🗓 2026-09-14 → 2026-09-25

Core

Building, maintaining, and expanding data integrations to unify commerce data from 500+ sources (retailers, e-commerce, ERPs) into a single source of truth for consumer brands.

Role type

Data Engineer (ETL & Integration Specialist)

Builds

Data integrations, ingestion tooling, and a central data repository for customer supply chain and revenue data.

Domain

Commerce Intelligence, Supply Chain, Retail Data

Deliverable

production ML models | product features

Required skills

ETL, batch processing, data modeling, schema normalization, relational databases (PostgreSQL), Python, web scraping, browser automation, APIs (REST, GraphQL), EDI

Preferred skills

Functional programming in Python, Java, cloud infrastructure (AWS, GCP, Azure), agentic development tools

Technologies

Python, PostgreSQL, REST, GraphQL, EDI, AWS, Google Cloud, Microsoft Azure

Responsibilities

Build and maintain data integrations extracting and transforming data from disparate retailer sources; Monitor data pipelines for outages and improve ingestion tooling; Collaborate with Product and Client Solutions to develop new platform features; Contribute to the engineering roadmap with new ideas.

Seniority

Junior to Mid-level, hands-on IC

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