ROLE: DATA ENGINEER - SQL SERVER METRIC MIGRATION Location: Omaha NE or Dallas TX (Day 1 Onsite) SUMMARY: DATA ENGINEERING TO MOVE SQL SERVER TABLES AND SSIS JOBS TO TERADATA OR SNOWFLAKE. MUST HAVE: EXPERIENCE WITH SSIS…
Engineering & IT · Omaha, NE
Data Engineer jobs in Omaha, NE
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.
54
Open roles today
$35–$86/hr
Typical pay range
$119k
Median, full-time
6
Fresh in this list
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01
Open data engineer roles
12 shown of 54 · sorted by freshness
$115k - $130k
Overview Are you an engineer with a passion for leadership, proven engineering experience, and a drive to mentor others while advancing... ...well as integrating the Spring Boot framework. Proficient in data management w…
$10 - $15 per hour
A leading construction and engineering organization is seeking a Microsoft AI Engineer to help expand and scale enterprise AI capabilities across critical business functions. This role will focus on designing, deploying,…
Job Description Job Description We are looking for a detail-oriented Data Analyst to support a long-term contract assignment within the health pharm/biotech industry in Omaha, Nebraska. In this role, you will help mainta…
Position: Cloud Data Engineer Mid-level Location: Omaha, NE Job type: Contract MUST HAVE: SNOWFLAKE - STRONG HANDS-ON EXPERIENCE WITH SNOWFLAKE: SQL DEVELOPMENT, WAREHOUSING CONCEPTS, AND WORKLOAD MANAGEMENT PYTHON - SPE…
$120.4k - $188.13k
evolve, grow, and succeed – today and into tomorrow. As an Electrical Engineer in our Advanced Manufacturing group, you’ll contribute to projects that enable the heart of our clients’ successful data center facilities en…
$110k - $130k
Data Scientist - AI Systems This role focuses on designing, building, and supporting the deployment of AI-powered systems that solve... ..., the GenAI system, and the UI by collaborating with cloud engineers, data engine…
The Data Services Analyst delivers custom data solutions that help DMSi customers maximize the value from their ERP solution. This role works across a broad and growing set of technologies, including custom reporting, bu…
become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction... .... Job Description AECOM is seeking a Control Room Data Analyst - Auditor to suppo…
multiple states, and we think you’ll agree that YOU BELONG AT BAXTER SHARED SERVICES! Your Purpose as a Business Intelligence & Data Analyst: The Business Intelligence & Data Analyst sits at the intersection of business…
$121.9k - $162.5k
Partners, the platform brings together deep domain expertise across Army, Navy, and Air Force and Space Force programs, digital engineering, systems integration, and specialized manufacturing capabilities. The combined o…
Calling all innovators – find your future at Fiserv. We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations…
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What data engineers earn in Omaha
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $35–$48 | $72k–$99k |
| Mid level | $48–$66 | $99k–$138k |
| Senior | $64–$86 | $133k–$179k |
Adjusted for the Omaha 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
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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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