Staff Data Engineer

Consumer Edge

. Set the technical direction for identity and audience data in Consumer Edge’s data products .

Posted 11/9/2026full-timeRemote • United StatesLead💰 $175,000 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing identity data models and production pipelines, ensuring data quality and compliance with legal standards. Proficient in leading technical direction and mentoring teams while collaborating effectively across departments.

Highest-signal resume keywords

Identity Resolution ExperienceExpert SQLPython ProgrammingBigQuery or Snowflake ExperienceAd Tech or Martech Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringProduction PipelinesEntity ResolutionMatch TablesData Quality FrameworksAnomaly DetectionConsent ManagementOpt-Out ImplementationIdentifier MappingsTechnical Direction

Soft Skills

Clear CommunicationMentoring

Tools & Technologies

DbtAirflowClaude CodeCursorCodex

Industry Keywords

Identity DataAudience DataAdvertising DataHigh-Volume DataData Products

Tech Stack

Tools & technologies

AirflowBigQueryPythonSnowflakeSQL

About the role

Key responsibilities & impact

Set the technical direction for identity and audience data in Consumer Edge’s data products
Design identity data models and matching logic, keeping them accurate, auditable, and current
Build and maintain identifier mappings with external partners
Report match quality and coverage
Build and run production pipelines behind data products
Implement consent, opt-out, deletion, and access controls into identity data in collaboration with legal and security
Create data quality frameworks, monitoring, and anomaly detection for pipelines carrying billions of rows
Lead design reviews and build-versus-buy decisions
Mentor data engineers through design and code reviews
Build agent harnesses, shared skills, and guardrails for safe AI-generated work
Collaborate with data science, product, and fellow engineers
Work AI-first every day

Requirements

What you’ll need

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
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
Deep BigQuery or Snowflake experience
Experience with a modern stack such as dbt and Airflow
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 Codex as an everyday part of the work
Ability to work east coast hours
Must reside in CA, CO, CT, FL, ID, IL, LA, MA, MD, NC, NH, NJ, NV, NY, PA, RI, SC, TN, TX, UT, VA, WA, WI, or Washington, DC

Benefits

Comp & perks

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 opportunity