Staff Data Engineer New

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

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 identity and audience data in our data products. You'll design how our data connects across sources and partners, and build the pipelines our data products depend on, working with data science, product, and fellow engineers.

What you'll do

• Own identity data. Design identity data models and matching logic, and keep them accurate, auditable, and current.
• Build partner data mappings. Build and maintain identifier mappings with external partners, and report match quality and coverage.
• Build data pipelines. Build and run the production pipelines behind our data products.
• Build privacy in. Build consent, opt-out, deletion, and access controls into identity data, working with legal and security.
• Set the quality bar. Create data quality frameworks, monitoring, and anomaly detection for pipelines that carry billions of rows.
• 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
• Hands-on identity resolution experience, such as entity resolution or match tables, and familiarity with common ad tech identifiers
• Experience with advertising data
• Expert SQL and Python, with deep BigQuery or Snowflake experience and a modern stack such as dbt and Airflow
• 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 Codex as an everyday part of your work

Nice to have

• Streaming pipelines with Kafka or Pub/Sub
• Building AI developer tooling: agent harnesses, MCP servers, evals, or CI guardrails
• Background in ad tech, martech, or consumer data products
• Experience building for privacy and governance: consent, opt-outs, deletion, and state privacy laws

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.

Note: Consumer Edge is currently hiring employees who reside in the following states or in Washington, DC: CA, CO, CT, FL, ID, IL, LA, MA, MD, NC, NH, NJ, NV, NY, PA, RI, SC, TN, TX, UT, VA, WA, WI.

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 measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is 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.