reports, testing protocols, and trend analyses. • Write or revise standard quality control operating procedures. • Supply quality control data necessary for regulatory submissions. • Receive and inspect raw materials. •…
Engineering & IT · Fort Worth, TX
Data Engineer jobs in Fort Worth, TX
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.
67
Open roles today
$37–$91/hr
Typical pay range
$125k
Median, full-time
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Fresh in this list
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Open data engineer roles
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Wire Data EngineerLocation: Fort Worth, TXJob ID: #73178Pay Range: $61-72Job Description Job Summary: • Developing system requirements... ...release wiring drawings in coordination with aircraft systems engineers and wir…
$50 per hour
QualificationsWHO WE AREThe Skunk Works (Lockheed Martin Advanced Development Programs) is looking for world-class talent in Software Engineering to be a part of a team that will carry on our 80-year tradition-making his…
strategies to engage customers and drive revenue across the membership lifecycle. This individual will be responsible for analyzing data and constructing models to support member acquisition, elite status qualification a…
$102.9k - $180.1k
Your impact Jacobs is actively seeking an experienced Senior Data Scientist to join the to enhance our Advisory Solutions Group,... ...including data sourcing, data scraping where appropriate, feature engineering, modeli…
design, deploy and administer applications? If so, the Senior Data Architect position could be your calling.At Frost, it’s about more... ...dataCommunicate new system strategies, designs, and methods to engineers through…
$80k - $139k
events.Prepare, analyze, and validate balance sheet schedules, account reconciliations, and supporting documentation.Perform detailed data analysis and financial review procedures to identify inconsistencies, cut off iss…
predictive forecasting systems to model future performance on known change. Support the development of data products through exploratory data analysis, feature engineering, and model building. Explore and create new data…
$27.5 per hour
Data Engineering Intern – Summer 2027 Location: North Richland Hills, TX Pay: $27.50/hour Schedule: 40 hours/week | 10-Week Summer Internship Housing: Provided for eligible interns About Ragle Since 1993, Ragle Inc. has…
$72.15k - $122.66k
program has an exciting opportunity for an F-35 Fleet Tracking engineer responsible for the delivery of quarterly Individual Aircraft Tracking... .... The successful candidate will take ownership of various data analysis…
$75 - $80 per hour
Position: Sr. Data Scientist Location: Fort Worth, Texas Duration: Contract Job ID: 178617 Local to Dallas, TX only - w2 or c2c accepted Job Overview: We are seeking a highly skilled and experienced Sr. Data Scientist to…
Please find the detailed job description below. Position: Sr Data Scientist AI/ML Location: Fort Worth, Texas Duration: Contract... ...development. ~Collaborate closely with data scientists, data engineers, and product p…
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What data engineers earn in Fort Worth
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $37–$50 | $76k–$105k |
| Mid level | $50–$70 | $105k–$146k |
| Senior | $68–$91 | $141k–$189k |
Adjusted for the Fort Worth 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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