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Consumer Edge Verified
Financial Services, Data Analytics, Market Research

Staff Data Engineer

RemoteRemoteFull TimeStaff$175,000–$210,000 /yrPosted 1 day agoVisa sponsorship available

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Required skills

  • audience data products
  • data science
  • product
  • engineers
  • create audiences
  • size audiences
  • refresh audiences
  • deduplicate audiences
  • onboard partner data
  • repeatable patterns

Nice to have

  • data clean room
  • MCP servers
  • evals
  • CI guardrails
  • consumer data products

Role summary

Consumer Edge is seeking a Staff Data Engineer to lead the technical direction for audience data products and manage their associated pipelines. This role involves building and maintaining data pipelines, onboarding partner data, ensuring data delivery to external partners via APIs and data shares, and setting technical strategy. The engineer will also guide the team in leveraging AI for safe and effective production work. The ideal candidate has 8+ years of data engineering experience, expertise in SQL, Python, BigQuery/Snowflake, dbt, Airflow, CI/CD, and Infrastructure as Code, with a background in AdTech/MarTech and delivering data to external partners.

Location: Remote (United States) ; requires ability to work east coast hours

About Consumer Edge

Join a dynamic team that's redefining consumer data analytics. Consumer Edge (“CE”) is a leading data and insights-as-a-service (IaaS) company specializing in the global consumer, B2B, and healthcare economies. CE delivers real-time, transaction-based intelligence enriched by deep industry expertise. Its solutions equip corporate and investment leaders with best-in-class tools for strategic decision-making, offering granular insights and benchmarking across products, brands, sub-industries, and industries. CE’s unique capabilities turn complex data into clear, actionable insights that drive smarter, faster decisions.

About the role

We’re hiring a Staff Data Engineer to set the technical direction for our audience data products and build and run the pipelines behind them, from build to delivery, working alongside data science, product, and fellow engineers.

What you’ll do

  • Build audience pipelines. Create, size, refresh, and deduplicate audiences, with clear contracts on what each one contains.
  • Onboard partner data. Build repeatable patterns for bringing in partner data.
  • Keep partner data mappings current. Maintain identifier mappings with partners as they change, and track match quality over time.
  • Deliver to partners. Deliver data to external partners through APIs, files, and data shares, with tracking, retries, and alerting.
  • Set technical direction. Lead design reviews and build-versus-buy decisions, and mentor data engineers through design and code reviews.
  • Lead how the team builds with AI. Work AI-first every day, and build the agent harnesses, shared skills, and guardrails that make AI-generated work safe to ship.

    • What you’ll bring

  • 8+ years in data engineering or backend data systems, including production pipelines on high-volume data (consumer data is a plus)
  • Ad tech or martech experience with identity and audience data
  • Experience delivering data to external partners on a schedule
  • Expert SQL and Python, and deep experience with BigQuery or Snowflake
  • Production experience with dbt and Airflow (or a similar orchestrator), CI/CD, and infrastructure as code
  • A track record of setting technical direction across teams, and 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

    • Nice to have

  • Integrations with ad tech platforms
  • Data clean room experience
  • Building AI developer tooling: agent harnesses, MCP servers, evals, or CI guardrails
  • Background in ad tech, martech, or consumer data products
  • Experience handling personal data under privacy rules: hashing, consent, opt-outs, and deletion

    • Why Consumer Edge

    At Consumer Edge, you’ll join a high-performance team at the forefront of data-driven decision-making for the world’s leading investors and brands. You’ll have the opportunity to shape an important growth market, work alongside smart and ambitious colleagues, and directly influence how we scale internationally.

    We offer competitive compensation, company equity, 401(k) matching, work-from-home flexibility, and subsidized health benefits.

    Compensation and Benefits

    The annual base salary for this role is between $175,000 - $210,000, depending on experience, with the opportunity for a performance-based bonus, company equity, 401(k) matching, paid parental leave, flexible and generous time off, work-from-home flexibility, and subsidized health benefits.

    #LI-Remote#LI-MM

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