Staff Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Establish the technical vision for audience data products.

• Create, size, refresh, and deduplicate audience pipelines with well-defined data contracts.

• Develop repeatable processes for integrating partner data.

• Maintain mappings for partner identifiers and monitor match quality over time.

• Provide data to external partners via APIs, files, and data sharing, ensuring tracking, retries, and alert notifications.

• Lead design evaluations and make decisions on build versus buy options.

• Guide data engineers through design and code assessments.

• Embrace an AI-first approach by creating agent harnesses, shared skills, and safeguards for secure AI-generated tasks.

⛳️ Requirements

• Over 8 years of experience in data engineering or backend data systems, focusing on production pipelines handling high-volume data.

• Experience in ad tech or martech, particularly with identity and audience data.

• Proven track record of delivering data to external partners on a predetermined schedule.

• Proficient in SQL and Python.

• Extensive experience with BigQuery or Snowflake.

• Hands-on experience with dbt and Airflow (or a comparable orchestrator).

• Experience with CI/CD processes and infrastructure as code.

• Demonstrated ability to set technical direction across multiple teams.

• Effective communication skills with both engineers and business stakeholders.

• Familiarity with AI coding tools such as Claude Code, Cursor, or GitHub Copilot as a regular part of your workflow.

• Willingness to work east coast hours.

• Experience with integrations into ad tech platforms (preferred).

• Familiarity with data clean room practices (preferred).

• Experience in building AI developer tools: agent harnesses, MCP servers, evaluations, or CI guardrails (preferred).

• Background in ad tech, martech, or consumer data products (preferred).

• Experience managing personal data in compliance with privacy regulations: hashing, consent management, opt-outs, and data deletion (preferred).

🏝️ Benefits

• Competitive salary.

• Company equity options.

• 401(k) matching program.

• Paid parental leave.

• Flexible and generous paid time off.

• Remote work flexibility.

• Subsidized health insurance benefits.

• Performance-based bonuses.