Staff Data Engineer: Identity & Audience Pipelines (Remote)

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

Benefits offered by this job

401(k) matching

Work-from-home

Health benefits

Company equity

Job summary

Consumer Edge in the United States is hiring a Staff Data Engineer to set the technical direction for identity and audience data in our data products. You’ll design data connections across sources and partners, and build the pipelines our data products depend on, collaborating with data science, product, and fellow engineers.

This role emphasizes privacy, data quality, and AI-enabled tooling, with leadership responsibilities across teams to ship scalable solutions that power decision-making for

Qualifications

• 8+ years in data engineering or backend data systems.
• Ad tech or martech experience with identity and audience data.
• Hands-on identity resolution experience, such as entity resolution or match tables.
• Experience with advertising data.
• Expert SQL and Python, with BigQuery or Snowflake experience and a modern stack such as dbt and Airflow.

Responsibilities

• Own identity data models and matching logic.
• Build and maintain partner data mappings.
• Build and run the production data pipelines behind our data products.
• Build privacy controls into identity data with legal and security teams.
• Set data quality frameworks, monitoring, and anomaly detection for pipelines.

Skills

Identity data

SQL

Python

BigQuery

Snowflake

Airflow

dbt

AI coding tools

Leadership

Communication

Tools

dbt

Airflow

Claude Code

Cursor

Codex

Kafka

Pub/Sub

Job description

Consumer Edge in the United States is hiring a Staff Data Engineer to set the technical direction for identity and audience data in our data products. You’ll design data connections across sources and partners, and build the pipelines our data products depend on, collaborating with data science, product, and fellow engineers.

This role emphasizes privacy, data quality, and AI-enabled tooling, with leadership responsibilities across teams to ship scalable solutions that power decision-making for