Staff Data Engineer

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

Location: Remote (United States) ; requires ability to work east coast hours

About Consumer Edge

Join a dynamic team that's redefining consumer data analytics. Consumer Edge (“CE”) is a leading data and insights-as-a-service (IaaS) company specializing in the global consumer, B2B, and healthcare economies. CE delivers real-time, transaction-based intelligence enriched by deep industry expertise. Its solutions equip corporate and investment leaders with best-in-class tools for strategic decision-making, offering granular insights and benchmarking across products, brands, sub-industries, and industries. CE’s unique capabilities turn complex data into clear, actionable insights that drive smarter, faster decisions.

About the role

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.

What you’ll bring

• 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
• 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

Why Consumer Edge

At Consumer Edge, you’ll join a high-performance team at the forefront of data-driven decision-making for the world’s leading investors and brands. You’ll have the opportunity to shape an important growth market, work alongside smart and ambitious colleagues, and directly influence how we scale internationally.

We offer competitive compensation, company equity, 401(k) matching, work-from-home flexibility, and subsidized health benefits.

Compensation and Benefits

The annual base salary for this role is between $175,000 - $210,000, depending on experience, with the opportunity for a performance-based bonus, company equity, 401(k) matching, paid parental leave, flexible and generous time off, work-from-home flexibility, and subsidized health benefits.

Are you legally authorized to work in the US? * Select...

Will you now or in the future require Visa sponsorship for employment from Consumer Edge? * Select...

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Consumer Edge’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.