$68k - $108k
software development. ~ Hands-on experience with Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, and Cloud Functions. ~ Experience with large-scale data processing technologies such as Apache Spark,…
Engineering & IT · Detroit, MI
Data Engineer jobs in Detroit, MI
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.
110
Open roles today
$35–$87/hr
Typical pay range
$120k
Median, full-time
10
Fresh in this list
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01
Open data engineer roles
12 shown of 110 · sorted by freshness
Data Engineering Engineer 3 Location: 679 - Rotunda Center Location Address: 17000 Rotunda Drive, DEARBORN, MI, 48120 Position Description: We're seeking a highly skilled and experienced Full Stack Data Engineer to play…
Managing Director, Data Engineering & AIWho You'll Work WithAs a Managing Director in Slalom's Data & AI practice, you will lead the growth of our Data Engineering & AI business by helping clients modernize their data fo…
Job Title: Sr. Data Engineer HYBRID in Detroit, MI (3 days per week in office req.) NO REMOTE Work Authorization: USC/GC only (W2) Contract to Hire after 6 months Job Summary: We are looking for a Senior Data Engineer to…
processes that run it. That work changes the operating model an engineering organization runs on, the ways of working underneath it, and... ...We combine our strength in technology and leadership in cloud, data and AI wi…
Job-ID33138808Reference26-03193Job Title: (Cloud Engineering Engineer 2)About Kyyba:Founded in 1998 and headquartered in Farmington Hills,... ...information, engineering artifacts, manufacturing evidence, service data, a…
$110.7k - $218.3k
across personas such as Field Sales, KAM, MSLs, or Field Reimbursement ManagersExperience with adjacent Salesforce products such as Data Cloud, Experience Cloud, or MuleSoft based integrationsExperience delivering in a S…
Job Title: Data Engineer Location: ONSITE in Detroit, MI Skills : Are you passionate about data, architecture, software development, and analytics? Do you bring deep experience with cloud technologies, data warehousing,…
$84.9k - $130.5k
This role is located at the GM Global Technical Center in Warren, Michigan. The Enterprise Data Governance Office is seeking an early careers Data Governance Engineer to help expand data literacy, data stewardship growth…
Accenture's SAP Analytics practice, you will be a member of a delivery teams and focus on client engagements centered on SAP's modern data and analytics platform — including SAP Datasphere, SAP Analytics Cloud (SAC), and…
Responsibilities Design, develop, and maintain robust and scalable data pipelines for data ingestion, transformation, and loading.... ...Bachelor's degree in Computer Science, Information Technology, Engineering, or a re…
$85.39k - $116.98k
Syms Strategic Group (SSG) is seeking a talented Senior Systems Engineer (Amazon Web Services (AWS) Data Engineer) - II Location: Remote Department: Veterans Affairs (VA) Type: Full Time Min. Experience: Experienced Secu…
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What data engineers earn in Detroit
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $35–$48 | $73k–$100k |
| Mid level | $48–$67 | $100k–$140k |
| Senior | $65–$87 | $135k–$181k |
Adjusted for the Detroit 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
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Junior Data Engineer
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Data Engineer
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Senior Data Engineer
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Staff Data Engineer
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Data Platform Lead
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