Job Overview: Join the Data Center team within the Cloud Engineering Platforms organization, where you will design, deploy, maintain, and optimize the physical and logical infrastructure within data centers. This role is…
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.
126
Open roles today
$37–$91/hr
Typical pay range
$125k
Median, full-time
4
Fresh in this list
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01
Open data engineer roles
12 shown of 126 · sorted by freshness
$50 - $55 per hour
Position: Azure Data Engineer Location: Fort Worth, Texas (Hybrid) Duration: 3+ months Contract-To-Hire Job ID: 178846 Job Overview: We are seeking a skilled and detail-oriented Data Engineer to join our team in Fort Wor…
Project Engineer Data Center MEP Location: Fort worth, TX Job Type: Long term contract Shift 1- Day Shift (7:00 AM 4:30 PM) Shift 2- (Swing Shift 3:30pm-1:00am) Key Requirements ~ Bachelor's degree required. ~ Support...
success through full implementation and adoption. Our team brings expertise across artificial intelligence and data, digital experience, and platform engineering, enabling the organizations we serve to build lasting inte…
products that drive a more reliable and profitable airline. The Data Domain refers to the area within Information Technology that... ...to make better decisions Implement data migration and data engineering solutions usi…
$90 - $100 per hour
Job Title: Data Scientist – Machine Learning & Generative AI Location: Fort Worth, TX 76155 (Hybrid) Durations: 6-12+ Months with... ...: Experience working as a Data Scientist, Machine Learning Engineer, or in a similar…
every job site. POSITION SUMMARY As a Senior Analytics Engineer , you will serve as the technical leader responsible for building... ...powers enterprise-wide analytics at PTR. Leveraging our modern data stack—including…
$92.41k - $171.13k
Req ID: 382594 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are…
Job Description Job Description Benefits: Bonus based on performance Tuition assistance Job Title: Senior Data Engineer Company: Techoauth Solutions LLC Location: Fort Worth, TX (Hybrid) Job Summary Techoauth Solutions i…
$70 per hour
Our client is seeking an experienced Analytics Engineer to join its growing Data & Analytics team. This role is ideal for someone who enjoys solving business problems through data, partnering directly with stakeholders a…
- Key Skills: Snowflake, SQL, Python, Spark, AWS- Glue, Big Data Concepts Responsibilities: ~ Lead the design, development,... ...~ Provide technical leadership and mentorship to junior data engineers. ~ Ensure complianc…
Position Overview: MP embraces an owner operator culture, and the Data Analyst will be empowered to develop and maintain the Company’s... ...a unique view of the business and support manufacturing, engineering, finance,…
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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
04
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
04
Staff Data Engineer
05
Data Platform Lead
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