Staff Data Engineer - AI-First Audience Pipelines (Remote)

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

Benefits offered by this job

Company equity

401(k) matching

Paid parental leave

Flexible time off

Work-from-home flexibility

Subsidized health benefits

Job summary

Consumer Edge is seeking a Staff Data Engineer to set the technical direction for audience data products. You will build and run data pipelines from build to delivery, collaborating with data science, product, and engineering teams.

Ideal candidates have 8+ years in data engineering, strong SQL/Python skills, and experience with BigQuery or Snowflake, dbt, Airflow, and AI tooling. Remote within the United States with East Coast hours is expected.

Qualifications

• 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.
• Deep SQL and Python expertise; strong experience with BigQuery and Snowflake.
• Production work with dbt and Airflow; infrastructure as code.
• Proven ability to set technical direction across teams and communicate with engineers and leaders.
• Comfort using AI coding tools (Claude Code, Cursor, GitHub Copilot) daily.

Responsibilities

• Build audience pipelines, including sizing, refreshing, and deduplication with clear contracts.
• Onboard partner data using repeatable patterns.
• Keep partner data mappings current and monitor match quality.
• Deliver data to external partners via APIs, files, and data shares with retries and alerts.
• Lead design reviews and build-versus-buy decisions; mentor engineers.
• Drive AI-first development and establish guardrails for safe AI delivery.

Skills

Data engineering

SQL

Python

BigQuery

Snowflake

Airflow

dbt

AI tooling

Technical leadership

Partner data delivery

Tools

CI/CD

Job description

Consumer Edge is seeking a Staff Data Engineer to set the technical direction for audience data products. You will build and run data pipelines from build to delivery, collaborating with data science, product, and engineering teams.

Ideal candidates have 8+ years in data engineering, strong SQL/Python skills, and experience with BigQuery or Snowflake, dbt, Airflow, and AI tooling. Remote within the United States with East Coast hours is expected.