Location: Remote (United States) ; requires ability to work east coast hours
About Consumer EdgeJoin 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 roleWe’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.
- 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
- 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
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 BenefitsThe 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
Skills Required
- 8+ years of experience in data engineering or backend data systems
- Experience building production pipelines processing 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 skills
- Deep experience with BigQuery or Snowflake
- Production experience with dbt and Airflow or a similar orchestrator
- 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
- Experience integrating with ad tech platforms
- Data clean room experience
- Experience building AI developer tooling, including agent harnesses, MCP servers, evals, or CI guardrails
- Background in ad tech, martech, or consumer data products
- Experience handling personal data under privacy rules, including hashing, consent, opt-outs, and deletion
Consumer Edge Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Consumer Edge and has not been reviewed or approved by Consumer Edge.
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Fair & Transparent Compensation — Pay is considered competitive across many roles and levels, with satisfaction commonly tied to market-aligned salary bands. Feedback suggests total packages, including bonuses or equity in some positions, provide strong overall value.
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Healthcare Strength — Benefits include comprehensive medical, dental, vision, and mental health coverage, supported by HSA/HCFSA options and an Employee Assistance Program. Feedback suggests this breadth underpins a strong wellbeing foundation.
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Retirement Support — A 401(k) plan with company matching is highlighted as part of the financial benefits. Feedback suggests this structure supports long-term savings goals.
Consumer Edge Insights
What We Do
Consumer Edge (CE) is a preeminent data insights company targeting the global consumer. Since its founding in 2009 CE has focused on the nexus of data, research, and technology to fuel the discovery of consumer insights. We continue this focus today, delivering next-generation data tools designed to answer complex questions on consumer behavior.
