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Staff Data Engineer

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

đź’µ $175k - $210k / year

⏰ Full Time

đź”´ Lead

đźš° Data Engineer

Where this job comes from

Posted on Consumer Edge's careers page, not through a job board

First seen by Remote Rocketship 2 minutes ago

Logo of Consumer Edge

Consumer Edge

51 - 200 employees

Founded 2009

đź’Ľ Consulting

📣 Marketing

🛍️ eCommerce

Consulting • Marketing • eCommerce

Consumer Edge is your key to data-driven decision making via deep insights into global consumer spending behavior. The company specializes in providing consumer purchase data and analysis, allowing businesses to understand shopping behaviors, spending patterns, and market dynamics. With access to extensive datasets covering over 40,000 merchants and 1,800 brands globally, Consumer Edge empowers investors and corporate brands with timely and actionable insights to enhance performance and strategy.

đź“‹ Description

• Set the technical direction for audience data products • Build, size, refresh, and deduplicate audience pipelines with clear data contracts • Develop repeatable patterns for onboarding partner data • Maintain partner identifier mappings and track match quality over time • Deliver data to external partners through APIs, files, and data shares with tracking, retries, and alerting • Lead design reviews and build-versus-buy decisions • Mentor data engineers through design and code reviews • Work AI-first and build agent harnesses, shared skills, and guardrails for safe AI-generated work

🎯 Requirements

• 8+ years in data engineering or backend data systems, including production pipelines on high-volume data • Ad tech or martech experience with identity and audience data • Experience delivering data to external partners on a schedule • Expert SQL and Python • Deep experience with BigQuery or Snowflake • Production experience with dbt and Airflow (or a similar orchestrator) • Production experience with CI/CD and infrastructure as code • Track record of setting technical direction across teams • Clear communication with engineers and business leaders • Comfort using AI coding tools such as Claude Code, Cursor, or GitHub Copilot as an everyday part of your work • Ability to work east coast hours • Integrations with ad tech platforms (nice to have) • Data clean room experience (nice to have) • Building AI developer tooling: agent harnesses, MCP servers, evals, or CI guardrails (nice to have) • Background in ad tech, martech, or consumer data products (nice to have) • Experience handling personal data under privacy rules: hashing, consent, opt-outs, and deletion (nice to have)

🏖️ Benefits

• Competitive compensation • Company equity • 401(k) matching • Paid parental leave • Flexible and generous time off • Work-from-home flexibility • Subsidized health benefits • Performance-based bonus

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