Pay
Higher than most similar jobs
$175K–$210K against $127K–$190K, the middle half of what similar US postings state.
From 2,209 postings in the last year. Stated ranges, not salaries paid.
Staff Data Engineer
United States
Actively hiring, first seen by us today- Pay
$175,000–210,000/year · Base — pay source
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.
Read the full posting- Work setting
Remote — work setting source
Location: Remote (United States) ; requires ability to work east coast hours About Consumer Edge
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingWe’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.
Design identity data models and matching logic, and keep them accurate, auditable, and current.
From the employer’s posting
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.
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
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.
Benefits in the posting
Full benefits wording- 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.
From the employer’s posting.
About Consumer Edge
Join a dynamic team that's redefining consumer data analytics.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 9, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 5 and day 54.
From 12,066 similar postings that came down. Coming down is not always a hire.
Consumer Edge is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- BigQuery
- dbt
- Kafka
- Snowflake
- Airflow
Where the posting names them
- 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
- Data clean room experience - Streaming pipelines with Kafka or Pub/Sub - Building AI developer tooling: agent harnesses, MCP servers, evals, or CI guardrails
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has Consumer Edge posted this job before?
Yes. We’ve followed one other Staff Data Engineer job there since November 2026. It is still up.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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
- Data clean room experience
- 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.
#LI-Remote
#LI-MM
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
- Location & working pattern
United States
Location: Remote (United States) ; requires ability to work east coast hours About Consumer Edge
More source context
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. #LI-Remote #LI-MM
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.