nVent seeks a technical lead to partner with customers, sales, and engineering to turn real-world challenges into practical data center solutions. You will serve as a domain authority for Smart Power Solutions, provide t…
Engineering & IT · Las Vegas, NV
Data Engineer jobs in Las Vegas, NV
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.
112
Open roles today
$38–$94/hr
Typical pay range
$129k
Median, full-time
5
Fresh in this list
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01
Open data engineer roles
12 shown of 112 · sorted by freshness
leading consulting firm is seeking a Senior Manager in AI Native Engineering to innovate and deliver cutting-edge solutions. The ideal... ...Responsibilities include managing client relationships, optimizing data process…
become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction... ...deliver a better world. Join us. Job Description The Data Center Commissioning En…
collaborate with a global network of experts – planners, designers, engineers, scientists, consultants, program and construction managers –... ...~4 or more years of relevant engineering experience. ~ Prior data center e…
Data Analyst (Local Candidates Only)-Nevada Location: Nevada (Local Candidates Only) Employment Type: Contract Experience: Minimum 8+ Years Required About the Role We are seeking an experienced Data Analyst to support en…
Job Description Job Description Job Description The Sr. Engineer – Data Security is responsible for technical design and execution of the Data Security Program for Wynn Resorts. Reporting to the Executive Director of Inf…
Company Description The Engineer – Data Security is responsible for technical design and execution of the Data Security Program for Wynn Resorts. Reporting to the Executive Director of Information Security, this role wil…
Key Responsibilities • Lead, coach, and develop a team of data engineers, establishing clear expectations for delivery, technical quality, documentation, and production support. • Own the planning and delivery of data en…
analytics platform as well as coordinate delivery across other data- related initiatives. This role sits onsite in Las Vegas and requires... ...pipelines, Delta Lake patterns, and medallion-oriented engineering practices…
Job Description Job Description Come build, innovate, disrupt, and thrive! KēSTA I.T. is actively seeking a Senior Data Engineers for two immediate full-time opportunities with our industry leading client. Are you on the…
infrastructure services provider supporting network operators, data centers, wireless networks, and subsea infrastructure across more... .... The organization is committed to delivering high-quality engineering solutions…
$119.66k - $122k
Sripadha Inc., a Las Vegas, NV based IT Consulting Services Firm has multiple openings for JOB ID 11335: Data Engineer. Job duties include: Design, develop, and operate high-scale applications focusing on operational exc…
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What data engineers earn in Las Vegas
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 Las Vegas 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
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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
01
Junior Data Engineer
02
Data Engineer
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Senior Data Engineer
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Staff Data Engineer
05
Data Platform Lead
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