Staff Data Engineer

Consumer Edge

. Set the technical direction for audience 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 data engineering with a focus on building and maintaining audience data products, delivering data to external partners, and leveraging AI tools for enhanced productivity. Proven ability to set technical direction, mentor teams, and ensure data quality and compliance with privacy standards.

Highest-signal resume keywords

Expert SQLPython ProgrammingBigQuerySnowflakeData Engineering

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Pipeline DevelopmentProduction CI/CDInfrastructure as CodeData Contract ManagementData DeduplicationAPIs for Data DeliveryData Quality TrackingOnboarding Partner DataAI Coding ToolsAd Tech Experience

Soft Skills

Clear CommunicationMentoringLeadership

Tools & Technologies

DbtAirflowClaude CodeCursorGitHub Copilot

Industry Keywords

Ad TechMartechAudience DataData Clean RoomPrivacy Rules Compliance

Tech Stack

Tools & technologies

AirflowBigQueryPythonSnowflakeSQL

About the role

Key responsibilities & impact

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

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
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

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