$71.3k - $140.6k
Position Summary Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant... ...fuel growth through innovation. Work you'll do As a PROJECT - Data Engineer…
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.
63
Open roles today
$38–$94/hr
Typical pay range
$129k
Median, full-time
4
Fresh in this list
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Open data engineer roles
12 shown of 63 · sorted by freshness
analytical support, delivering insights that drive profit, and being a reliable business partner for Gaming operations. The role leverages data to identify trends, measure business performance, and provide actionable ins…
$168k - $170k
Nevada • Job Type: Direct Hire • Posted: 3 days agoEnterprise Data & AI ArchitectOur client has built an enterprise intelligence platform... ...platform documentationWhat Gets You the Job:7+ years in data engineering, bu…
Requisition ID: 14860ERP Eligible?: YesERP amount: $50 LMRecognitionRelocation: NoType: ExemptShift: 1Clearance Prior to Start: SecretFinal Clearance: TS/SCIPay Transparency: $70,500.00 - $130,900.00Experience Level: Exp…
$149k - $198.5k
Mission Summary: The Data Platform team is the vital link between our company's expansive data and the engineering teams that rely on it. We architect and operate the core services and infrastructure necessary to transfo…
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…
Lead Data Engineer - Delivery Lead On-site in Las Vegas Nevada. About the job you're considering The Delivery Lead will oversee the end-to-end delivery of a Teradata-to-Azure/Databricks migration powering client's next-g…
critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding... ...and resolve complex driving scenarios. As a Senior Full Stack Engineer on the…
$149k - $198.5k
Mission Summary: We are seeking a Senior Engineer to join our ML Data Services team and help us build and improve data infrastructure for Autonomy ML teams. As a Senior Engineer, you will be responsible for building scal…
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…
Sripadha Inc , a Las Vegas, NV based IT Solutions firm. Multiple openings for JOB ID 10457 Software Engineer Job duties include: Design, develop solutions to complex applications problems, system administration issues, o…
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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
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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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