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Full Stack Data Engineer Jobs in Nevada (NOW HIRING)

Deloitte

Senior Full Stack Engineer

Las Vegas, NV · On-site

Work you'll do As a Senior Full-stack Software Engineer, you will actively engage in your ... Maintain accountability for the integrity of code design, implementation, quality, data, and ...

TW Group LLC

Full Stack Developer

Las Vegas, NV · On-site

... audio engineers, artists, and developers to produce web tools to assist with game design and ... stack using React, MongoDB, Prisma, SQL, TypeScript, and Node.js, utilizing Git workflows. • ...

VOLT

Senior Data Engineer

Las Vegas, NV · On-site

$120K - $150K/yr

Minimum of eight (8) years of experience as a data engineer with full-stack capabilities * Minimum of ten (10) years of Experience in programming * Minimum of five (5) years in Cloud technologies ...

Amh

Senior Data Engineer

Las Vegas, NV

$121K - $151K/yr

Minimum of eight (8) years of experience as a data engineer with full-stack capabilities * Minimum of ten (10) years of Experience in programming * Minimum of five (5) years in Cloud technologies ...

American Homes 4 Rent

Senior Data Engineer

Las Vegas, NV · On-site

$121K - $151K/yr

Minimum of eight (8) years of experience as a data engineer with full-stack capabilities * Minimum of ten (10) years of Experience in programming * Minimum of five (5) years in Cloud technologies ...

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All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Nevada

Full Stack Data Engineer information

See Nevada salary details

$45.3K

$137.2K

$194K

How much do full stack data engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for full stack data engineer in Nevada is $137,238.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $160,900.00 per year, depending on experience, location, and employer.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Full Stack Data Engineer, and why are they important?

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

How does a Full Stack Data Engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What is a Full Stack Data Engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.
What are popular job titles related to Full Stack Data Engineer jobs in Nevada? For Full Stack Data Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Engineer jobs in Nevada look for? The top searched job categories for Full Stack Data Engineer jobs in Nevada are:
Full Stack Data Engineer jobs near you

Principal Full-Stack Engineer, Operations & Fleet Platform

Vay

Las Vegas, NV • Remote

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

Why this role is exciting

Please note this role is based in our Las Vegas office, if you aren't already located here we will financially support relocation. As a Principal Full-Stack Engineer, Ops Tools This is a rare opportunity to build mission-critical software that directly powers real-world operations. You'll help scale Vay's Las Vegas service by designing and shipping end-to-end operational tools used every day by people on the ground and behind the wheel, remotely.

This role is built for engineers who want high ownership, real users, and real consequences. You'll sit at the intersection of mobility, real-time systems, and remote driving, helping shape one of the world's first commercial remote operations platforms.

If you're excited by ambiguity, value impact over abstraction, and want your software to move actual cars, not just pixels, this role is for you.

What you'll be driving
  • Own the solution space across our operational tooling, translating complex operational workflows into reliable, user-facing software across multiple verticals, including:
    • Customer Support
    • Remote Driving Operations
    • Fleet Management
  • Work closely with Operations, Customer Support, Engineering, and Product to design and develop end-to-end integrated solutions, combining off-the-shelf tools, low-code platforms, and custom-built software where it makes sense.
  • Build and maintain real-time, interactive operational dashboards, including charts, maps, and data-dense interfaces, over operational databases and the data warehouse
  • Build fleet intelligence capabilities over real time telemetry to identify and self heal (where possible) anomalies in an EV fleet of teledrivable vehicles
  • Level up the organization, by influencing cross team architecture across our operations platform, dispatch, and routing and navigation backends, as well as mentoring and coaching engineers
  • Partner with Directors to define and execute on an engineering roadmap to level up the organization's focus on engineering quality and delivery velocity, on topics ranging from setting up effecting engineering systems for testing to driving high performance engineering culture
  • Own what you build, from first commit through production and iteration.
What we're looking for

  • Strong full-stack depth.

  • Confident in modern frontend development using React and TypeScript.

  • Hands-on experience building backend services and APIs.

  • Solid understanding of:

    • RESTful API design

    • Authentication and authorization

    • Secure API integrations

  • Strong fundamentals in relational databases, including data modeling, transactions, indexing, and querying.

  • Proven experience working with design systems to build consistent, scalable interfaces.

  • Ability to translate complex, high-stakes workflows into clear, efficient, and error-resistant user experiences.

  • Comfortable working closely with non-engineering stakeholders (Ops, CS, Product).

  • Thrives in environments with ambiguity and evolving requirements.

  • Drives clarity through iteration, feedback, and pragmatic decision-making.

Nice to have

  • Experience building data-intensive or real-time user interfaces (streaming updates, large tables, map-based views).

  • Experience integrating third-party tools or platforms.

  • Background in operational, logistics, or mobility-related systems.

Why you should join Vay

A global team of smart, motivated people from 30+ countries who love tackling hard problems and turning bold ideas into reality.

Huge scope for impact in a fast paced environment

ESOP stock options: A stake in Vay's future - not just a salary.

Unlimited Paid Vacation Days

401(k) programme

Health, Dental & Vision Insurance 

All Vay team members receive 30% off their Vay rides

Wellness Hub free gym access & wellness app subscriptions

Exclusive external discounts

$350 Home office budget 

Relocation financial assistance when relocating to Las Vegas 

Regular team events throughout the year

Apply