leading healthcare organization is seeking a Genomics Research Programmer Analyst – Associate to support the development of a genomic data warehouse. This role focuses on ensuring the integrity and quality of genomic dat…
Engineering & IT · Milwaukee, WI
Data Engineer jobs in Milwaukee, WI
Data engineers build the pipelines and warehouses that move data from source systems to the people and models that need it, keeping it fresh, correct, and queryable at scale.
90
Open roles today
$36–$89/hr
Typical pay range
$123k
Median, full-time
10
Fresh in this list
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01
Open data engineer roles
12 shown of 90 · sorted by freshness
$113.92k - $222.3k
The Senior Data Engineer at Northwestern Mutual Life Insurance Company in Milwaukee, Wisconsin will apply engineering best practices in order to analyze, design, develop, deploy and support software solutions. Develop so…
$131.6k - $249.78k
relevant experience in the design, development, and evaluation of Data Platform solutions such as Data Warehouses, Data Lakes, and... ...requirements Contribute to the vision and strategy for data engineering, ensuring a…
Northwestern Mutual Life Insurance Company in Milwaukee, Wisconsin seeks a Senior Data Engineer to apply engineering best practices for analyzing, designing, developing, deploying, and supporting software solutions on la…
Job Description Job Description Job Title: Data Software Developer – LowCode Contract Length: Until end of year Work Location: 4 days a week onsite to Milwaukee Wisconsin Ideal Candidate Profile Core Skills & Experience…
Thomson Power Systems, a Regal Rexnord company, is seeking a Sales Engineer for the Data Centers vertical. This 100% remote role reports to the Senior Manager, Business Development and covers the U.S. market with up to 5…
helping to build and maintain Advocate’s newly emergent genomic data warehouse to ensure high standards of data quality, security,... ...best practices and emerging technologies in genomics and data engineering. Assists…
Milliman, Inc is seeking a Manager of Software Engineering for the Data Curation team within IntelliScript. You will lead engineers delivering backend services and data pipelines powering insurtech products, while guidin…
$30 - $32 per hour
Job Description Job Description Data & Reporting Analyst (Contract) Pay Rate: $30–$32 per hour Contract Duration: July – November Schedule: Monday – Friday | 8:00 AM – 5:00 PM Are you passionate about transforming data i…
Auto req ID: 53551 Title: Sr Engineering Business Analyst Job Function: Engineering Location: PDC Workplace Category:Onsite... ...improve efficiency and accuracy while enabling enabling informed, data- driven decision-ma…
and actuarial firm that develops and deploys category-defining, data- driven, software-as-a-service (SaaS) products for a broad... ...capabilities Coordinate with Product, Business Development, ML Engineering, and IT to…
Job Description Job Description Title : Sr Data Analyst Location : Milwaukee, WI Type : Hybrid (3 days onsite per week) Duration : ASAP - May 2025 Perks : Competitive Rates, Benefits, Free Daily Lunch When Onsite Role Su…
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What data engineers earn in Milwaukee
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $36–$50 | $74k–$103k |
| Mid level | $50–$68 | $103k–$142k |
| Senior | $66–$89 | $138k–$185k |
Adjusted for the Milwaukee market from national ranges.
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What employers ask for
The skills these listings keep naming
SQL and data modelingPython or ScalaAirflow or similar orchestrationSpark or other batch processingWarehouses (Snowflake, BigQuery)dbtStreaming (Kafka)Data quality testingCloud infrastructure
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Interview questions worth rehearsing
With the thing the interviewer is actually listening for
Design a pipeline that loads data from a production database into a warehouse daily.
Cover extraction strategy, incremental loads versus full refresh, idempotency, and monitoring. Saying how you would backfill after a failure shows real pipeline experience.
How do you handle late-arriving or duplicate data?
Discuss idempotent upserts, watermarks, and dedup keys. This is a daily reality of the job, so a concrete example lands well.
Batch or streaming — how do you decide?
Anchor on the actual freshness requirement and cost. Most 'real-time' asks are fine at minutes; recognizing that is the mature answer.
A stakeholder says the numbers in their dashboard are wrong. Walk me through your debugging.
Trace lineage from the dashboard back to the source, isolating which layer diverged. Showing calm, structured lineage-tracing is the point of the question.
How do you model data for analytics — star schema, wide tables, something else?
Show you know the classic patterns and modern warehouse economics, and that you choose based on query patterns and team skill, not doctrine.
How do you test data pipelines?
Talk about schema and freshness checks, row-count and distribution tests, and tools like dbt tests or Great Expectations — plus alerting when they fail.
Tell me about a pipeline that failed badly and what you changed.
Structure it like an incident review: impact, cause, fix, prevention. Emphasize the durable improvement, such as monitoring or contract enforcement.
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Resume tips that move the needle
For data engineers specifically — generic advice costs you here
01
State data scale plainly — rows per day, terabytes managed, pipeline counts — because it is the first thing hiring managers scan for.
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Name your orchestration, processing, and warehouse tools per role; the modern stack (Airflow, dbt, Snowflake) is a keyword screen.
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Highlight reliability outcomes: pipeline failure rates, data freshness SLAs met, incident reductions.
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Show cost work if you have it — warehouse spend is a live concern and optimization stories differentiate.
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Mention who consumed your data (analysts, ML teams, executives) to show you build for users, not just movement.
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Where this role goes
Typical progression
01
Junior Data Engineer
02
Data Engineer
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Senior Data Engineer
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Staff Data Engineer
05
Data Platform Lead
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