Staff Data Engineer

consumeredge; United States; Remote; USD 175,000 - 210,000; Full time

Benefits offered by this job

Potential performance bonus

Equity

401(k) matching

Paid parental leave

Flexible time off

Remote-work flexibility

Subsidized health benefits

Job summary

ConsumerEdge is seeking a staff data engineering leader to set technical direction for identity and audience data across sources and partners. You will design data models, build scalable pipelines, and collaborate with data science and product teams. The role is remote in the United States and requires availability during East Coast hours.

You will mentor engineers, lead reviews, and implement privacy controls and governance while advancing AI-assisted development in a fast-paced environment.

Qualifications

• 8+ years in data engineering or backend data systems.
• Ad tech or martech experience with identity and audience data.
• Hands-on identity resolution work (entity resolution or match tables).
• Expert SQL and Python; deep BigQuery or Snowflake; dbt and Airflow.
• Proven ability to set technical direction across teams and communicate with leadership.
• Regular use of AI coding tools as part of engineering work.

Responsibilities

• Design identity data models and matching logic for accuracy and audibility.
• Build partner identifier mappings, measure match quality and coverage.
• Develop and operate production pipelines for data products at scale.
• Implement consent, opt-out, deletion, and access controls with legal/security.
• Establish quality frameworks, monitoring, and anomaly detection for pipelines.
• Lead design reviews, mentor engineers, and create safe AI-assisted workflows.

Skills

SQL

Python

Team leadership

Data modeling

Tools

dbt

Airflow

BigQuery

Snowflake

Job description

Role overview

Set technical direction for identity and audience data and build the production systems that connect data across sources and partners. This staff-level role spans data modeling, high-volume pipeline engineering, privacy controls, and engineering leadership, in close partnership with data science, product, and engineering. The role is remote in the United States and requires availability during East Coast working hours.

Responsibilities

• Design identity data models and matching logic, keeping records accurate, auditable, and current.
• Build and maintain partner identifier mappings and measure match quality and coverage.
• Develop and operate production pipelines supporting data products at billions-of-rows scale.
• Implement consent, opt-out, deletion, and access controls in collaboration with legal and security teams.
• Establish quality frameworks, monitoring, and anomaly detection for data pipelines.
• Lead design reviews and build-versus-buy decisions, mentor engineers, and create safe workflows and guardrails for AI-assisted development.

Requirements

• 8+ years in data engineering or backend data systems, including production pipelines handling high-volume data.
• Ad tech or martech experience involving identity and audience data, plus hands-on identity resolution work such as entity resolution or match tables.
• Familiarity with common advertising technology identifiers and experience working with advertising data.
• Expert SQL and Python skills, deep BigQuery or Snowflake experience, and familiarity with a modern stack such as dbt and Airflow.
• A record of setting technical direction across teams and communicating clearly with engineers and business leaders.
• Regular use of AI coding tools as part of engineering work.

Nice to have

• Data clean room experience or streaming work with Kafka or Pub/Sub.
• AI developer tooling experience, such as agent harnesses, MCP servers, evaluations, or CI guardrails.
• Experience with privacy and governance controls, including consent, opt-outs, deletion, or state privacy laws.

Benefits and work setup

The listed base salary is $175,000–$210,000, depending on experience,

• potential performance bonus
• equity
• 401(k) matching
• paid parental leave
• flexible time off
• remote-work flexibility
• subsidized health benefits

Hiring is limited to specified U.S. states and Washington, DC.