leader, take a look at the exciting employment opportunities that are currently available and apply online.Job SummaryAs a Lead Data Engineer, you will be responsible for leading the design and implementation of complex…
Engineering & IT · Dallas, TX
Data Engineer jobs in Dallas, 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.
4,887
Open roles today
$38–$94/hr
Typical pay range
$129k
Median, full-time
12
Fresh in this list
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01
Open data engineer roles
12 shown of 4,887 · sorted by freshness
$45 - $51 per hour
DescriptionKforce has a client in Irving, TX that is seeking a Data Engineer. Responsibilities:* Design, develop, and maintain scalable data pipelines and integration solutions to support business reporting, analytics, a…
role & someone from our Talent Acquisition Team will reach out to help you navigate our interview process.Lantern is looking for a Data Engineer II to join our Data Engineering team. The ideal candidate will have solid e…
driving digital transformation for financial institutions. We specialize in leveraging advanced technologies such as AI, cloud, and data- led innovation to help our clients accelerate growth and unlock business value. Ou…
Change the world. Love your job.About the job: The TI North Texas region 300mm Industrial Engineering and Advanced Data Analytics team is looking for an accomplished Data engineer with strong high-tech manufacturing, pro…
THE GLOBAL LEADER IN DATA & ANALYTICS RECRUITMENTHarnham Search and Selection Company Number: 05723485Harnham Search and Selection is a registered company in England and Wales. Reg no. 05723485Harnham Europe Limited Comp…
every day. If you're ready to grow, lead and make a difference, come join our team and help shape the future of convenience.The Data Engineer - Marketing Technologies builds and maintains the data pipelines, models, and…
$75.17k - $130.5k
Req ID:376258NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be... ...thinking organization, apply now.We are currently seeking a Data Engineer - Hybri…
WiproContact: Meghana GorusuCompany: SRI Tech SolutionsRole: Palantir data EngineerLocation: 211 S Akard St, Dallas, TX 75202 (Day 1 Onsite... ...all the details of visa validityJob Description:Palantir data Engineer or…
$100.79k - $160.26k
DLA Piper is a place you can engage in meaningful work and grow your career. Let’s see what we can achieve. Together.SummaryThe Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data i…
$80.5k - $125k
OverviewAs a Data Engineer (Analytics Specialist), you will build robust data warehouse/marts/sets which will enable business users to make informed decisions. You will use advanced SQL tools to move large amounts of dat…
$143.64k - $273k
impact. We operate under a modern triad delivery model, combining deep engineering, design, and business strategy to deliver outcomes that keep global industries moving forward.As a Forward Deployed Data Engineer, you ar…
02
What data engineers earn in Dallas
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $38–$52 | $78k–$108k |
| Mid level | $52–$72 | $108k–$150k |
| Senior | $70–$94 | $145k–$195k |
National ranges — pay in Dallas typically tracks these.
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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
03
Senior Data Engineer
04
Staff Data Engineer
05
Data Platform Lead
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