Staff Data Engineer - Identity & Audience at Scale (Remote)

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

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.