Staff Data Engineer

Consumer Edge•New York, NY

3d•$175,000 - $210,000•Remote

About The Position

Consumer Edge is hiring a Staff Data Engineer to set the technical direction for identity and audience data in its data products. The role designs how data connects across sources and partners and builds the pipelines that support data products, in collaboration with data science, product, and engineering colleagues. The position owns identity data models and matching logic; partner identifier mappings; and production data pipelines. It incorporates privacy controls, including consent, opt-outs, deletion, and access controls, and establishes quality frameworks, monitoring, and anomaly detection for pipelines handling billions of rows. The Staff Data Engineer also leads design reviews and build-versus-buy decisions, mentors data engineers, and develops AI agent harnesses, shared skills, and guardrails to make AI-generated work safe to ship. The role is remote within the United States and requires the ability to work East Coast hours. Consumer Edge is currently hiring employees who 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.

Requirements

At least 8 years of experience in data engineering or backend data systems, including production pipelines handling high-volume data; consumer data experience 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.
Expertise in SQL and Python, deep BigQuery or Snowflake experience, and experience with a modern stack such as dbt and Airflow.
A track record of setting technical direction across teams and communicating clearly with engineers and business leaders.
Comfort using AI coding tools such as Claude Code, Cursor, or Codex as a regular part of work.
Ability to work East Coast hours.

Nice To Haves

Data clean room experience.
Experience with streaming pipelines using Kafka or Pub/Sub.
Experience building AI developer tooling such as agent harnesses, MCP servers, evals, or CI guardrails.
Background in ad tech, martech, or consumer data products.
Experience building for privacy and governance, including consent, opt-outs, deletion, and state privacy laws.

Responsibilities

Design identity data models and matching logic, keeping identity data accurate, auditable, and current.
Build and maintain identifier mappings with external partners, and report on match quality and coverage.
Build and operate production pipelines that support data products.
Implement consent, opt-out, deletion, and access controls for identity data in collaboration with legal and security.
Create data quality frameworks, monitoring, and anomaly detection for high-volume pipelines.
Lead design reviews and build-versus-buy decisions, and mentor data engineers through design and code reviews.
Lead the team’s use of AI by building agent harnesses, shared skills, and guardrails for safely shipping AI-generated work.