Staff Data Engineer

United States
Full-time
$175,000 - $210,000,
Posted Nov 9, 2026

Job description

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 identity and audience data in our data products. You’ll design how our data connects across sources and partners, and build the pipelines our data products depend on, working with data science, product, and fellow engineers. 

What you’ll do

•Own identity data. Design identity data models and matching logic, and keep them accurate, auditable, and current.

•Build partner data mappings. Build and maintain identifier mappings with external partners, and report match quality and coverage.

•Build data pipelines. Build and run the production pipelines behind our data products.

•Build privacy in. Build consent, opt-out, deletion, and access controls into identity data, working with legal and security.

•Set the quality bar. Create data quality frameworks, monitoring, and anomaly detection for pipelines that carry billions of rows.

•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

•Hands-on identity resolution experience, such as entity resolution or match tables, and familiarity with common ad tech identifiers

•Experience with advertising data

•Expert SQL and Python, with deep BigQuery or Snowflake experience and a modern stack such as dbt and Airflow

•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 Codex as an everyday part of your work

Nice to have

•Data clean room experience

•Streaming pipelines with Kafka or Pub/Sub

•Building AI developer tooling: agent harnesses, MCP servers, evals, or CI guardrails

•Background in ad tech, martech, or consumer data products

•Experience building for privacy and governance: consent, opt-outs, deletion, and state privacy laws

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.

Note:  Consumer Edge is currently hiring employees who reside in the following states or in Washington, DC:  CA, CO, CT, FL, ID, IL, LA, MA, MD, NC, NH, NJ, NV, NY, PA, RI, SC, TN, TX, UT, VA, WA, WI.

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