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# Remote

- **Company:** Consumer Edge
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $175,000 - $210,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, BigQuery, Continuous Integration, Data Architecture, Information Engineering, Data Sharing, Data Systems, Data Warehousing, Cursor, Programming Tools, Distributed Systems, Python (Programming Language), Machine Learning, SQL Databases, Data Streaming, Systems Integration, GitHub Copilot, Claude Code, Snowflake, AI Coding Agents, Backend, Data Management, Programming Languages
- **Published:** November 10, 2026
- **Apply:** https://www.builtincolorado.com/job/staff-data-engineer/12143003?handler=ApplyRedirect

## About the Role

* 8+ years in data engineering or backend data systems, including production pipelines on high-volume data (consumer data is a plus)
 * Ad tech or martech experience with identity and audience data
 * Experience delivering data to external partners on a schedule
 * Expert SQL and Python, and deep experience with BigQuery or Snowflake
 * Production experience with dbt and Airflow (or a similar orchestrator), CI/CD, and infrastructure as code
 * A track record of setting technical direction across teams, and clear communication with engineers and business leaders
 * Comfort using AI coding tools such as Claude Code, Cursor, or GitHub Copilot as an everyday part of your work

Nice to have

 * Integrations with ad tech platforms
 * Data clean room experience
 * Building AI developer tooling: agent harnesses, MCP servers, evals, or CI guardrails
 * Background in ad tech, martech, or consumer data products
 * Experience handling personal data under privacy rules: hashing, consent, opt-outs, and deletion

## Description

Lead the technical direction for audience data products and build high-volume pipelines for audience creation, partner data onboarding, identity mapping, and external data delivery. Mentor engineers, oversee design reviews and build-versus-buy decisions, and develop AI-enabled engineering tooling with appropriate guardrails. Collaborate with data science, product, engineering, and external partners., We're hiring a Staff Data Engineer to set the technical direction for our audience data products and build and run the pipelines behind them, from build to delivery, working alongside data science, product, and fellow engineers.
What you'll do

 * Build audience pipelines. Create, size, refresh, and deduplicate audiences, with clear contracts on what each one contains.
 * Onboard partner data. Build repeatable patterns for bringing in partner data.
 * Keep partner data mappings current. Maintain identifier mappings with partners as they change, and track match quality over time.
 * Deliver to partners. Deliver data to external partners through APIs, files, and data shares, with tracking, retries, and alerting.
 * Set technical direction. Lead design reviews and build-versus-buy decisions, and mentor data engineers through design and code reviews.
 * Lead how the team builds with AI. Work AI-first every day, and build the agent harnesses, shared skills, and guardrails that make AI-generated work safe to ship., Own the architecture and technical direction of scalable data platforms, including Python pipelines, Airflow orchestration, Snowflake, Databricks, and AWS systems. Establish standards for reliability, testing, governance, security, monitoring, and data delivery. Lead complex incident resolution, cost optimization, design reviews, and platform decisions while partnering cross-functionally. Mentor engineers, influence roadmaps, reduce technical debt, and support hiring and organizational development.
Top Skills: AirflowAmazon S3SparkAWSCi/CdData CatalogingData LineageDatabricksDatadogDbtKafkaLaunchdarklyMongoDBPii MaskingPostgresPythonRbacSegmentSnowflakeSQLTableau
Capital One