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Data Engineer Jobs in Nevada (NOW HIRING)

Socket.dev

Data Engineering Manager

Reno, NV · On-site

$128K/yr

Data Engineering & Integration * Lead development and maintenance of ETL/ELT pipelines, SQL objects, integrations, interfaces, and automated data-processing workflows. * Manage data feeds from Epic ...

Tahoe Forest Health

Data Engineering Manager

Reno, NV · On-site

$128K/yr

Data Engineering & Integration * Lead development and maintenance of ETL/ELT pipelines, SQL objects, integrations, interfaces, and automated data-processing workflows. * Manage data feeds from Epic ...

UnitedHealth Group

Senior Software Engineer

Las Vegas, NV · On-site

$117K - $154K/yr

In this role, you will build robust data ingestion, transformation, and analytical solutions using ... Collaborate with research, engineering, and product teams to translate cutting-edge advancements ...

UnitedHealth Group

Senior Software Engineer

Las Vegas, NV · Remote

$117K - $154K/yr

In this role, you will build robust data ingestion, transformation, and analytical solutions using ... Collaborate with research, engineering, and product teams to translate cutting-edge advancements ...

UnitedHealth Group

Senior Software Engineer

Las Vegas, NV · Remote

$117K - $154K/yr

In this role, you will build robust data ingestion, transformation, and analytical solutions using ... Collaborate with research, engineering, and product teams to translate cutting-edge advancements ...

Pwc

AI Engineer

Las Vegas, NV · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine ...

Light and Wonder, Inc.

Head of Data

Las Vegas, NV · On-site

Stand up L&W's centralized data hub, including infrastructure, master data management, governance, data engineering, analytics engineering, and data science capability. * Define and operate the hub ...

Lnw

Head of Data

Las Vegas, NV · On-site

Stand up L&W's centralized data hub, including infrastructure, master data management, governance, data engineering, analytics engineering, and data science capability. * Define and operate the hub ...

TEKsystems

Data Center Engineer

Sparks, NV · On-site

$45/hr

Data Center Engineer Location: Sparks, NV (Onsite) Schedule: 4x10 Hour Shifts Pay: Up to $45/hour Build the Future of High-Performance Infrastructure We are seeking experienced Data Center Engineers ...

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All JobsData Engineer JobsData Engineer Jobs in Nevada

Data Engineer information

See Nevada salary details

$45.3K

$132.1K

$180.8K

How much do data engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data engineer in Nevada is $132,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,600.00 and $140,000.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Nevada?

The most popular types of Data Engineer jobs in Nevada are:

What are popular job titles related to Data Engineer jobs in Nevada?

For Data Engineer jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Nevada look for?

The top searched job categories for Data Engineer jobs in Nevada are:

What cities in Nevada are hiring for Data Engineer jobs?

Cities in Nevada with the most Data Engineer job openings:

What are popular job titles related to Data Engineer jobs in NV?

For Data Engineer jobs in NV, the most frequently searched job titles are:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Nevada as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $132,091 per year, or $63.5 per hour.

YourLiebherrCareer: Data Platform Engineer (m/f/d) (82443)

North Las Vegas, NV • On-site

Liebherr USA Co.
See more jobs at Liebherr USA Co.external

$103K - $124K/yr

Full-time

Medical, Retirement

Re-posted 6 days ago

Job description

For our Data & AI (Team Data Engineering) in Ulm we are looking for a Data Platform Engineer (m/f/d).

In today's fast-paced digital landscape, data is the foundation of business innovation and competitive edge. To harness its full power, we need a solid basis - a platform that not only stores data but transforms it into a catalyst for growth and discovery. This is where your expertise is invaluable.

We're seeking a Data Platform Engineer (m/w/d) with a knack for problem-solving and a passion for technology to join our team. Your mission will be to develop and maintain our data ecosystem, using Databricks to create a seamless, scalable platform. Your work will be critical in enabling the Liebherr Group to process and analyze data more effectively, turning complex datasets into valuable insights.

If you're ready to take on the challenge of building the backbone of our data operations and contributing to our AI initiatives, we're looking for you. Join us and become a key contributor to our journey toward a data-driven future.

Creating passion: your responsibilities
  • Improve and extend the current analytics and AI infrastructure (built around Databricks)
  • Drive the data platform by observing the fast Data and AI landscape and bringing in new ideas
  • Maintain our stack by extending our setup with security measures, monitoring, auditing, policies, and (data) observability
  • Build tools, templates, and processes (e.g. CI/CD) for efficient data ingestion and management
  • Enable colleagues from the Liebherr Group by providing guidance, best practices, and blueprint architectures
  • Support Data Scientists and Data Engineers with Data and AI tooling
Contributing your strengths: your qualifications
  • M.Sc. Computer Science or related technical field with a focus on (Data) Platform Engineering
  • Proficiency in building secure and scalable data platforms using cloud technologies with focus on security, networking, authentication, etc.
  • Proficiency with cloud providers (e.g. Azure, AWS) and container technologies (e.g. Docker, Kubernetes)
  • Proficiency with CI/CD (preferably GitHub Actions) and IaC (preferably Terraform / Terragrunt)
  • Experience with Databricks / Spark, data lakes as well as SQL- and NoSQL databases
  • Experience with development and operation of distributed systems
  • Excellent programming skills (e.g. Python or GoLang) and basic experience with Data Science or Machine Learning
  • Excellent spoken and written communication skills in German & English
Our commitment to you: your benefits

A challenging and interesting range of activities awaits you at Liebherr in an internationally successful Group. We offer you a secure job with the social contributions of a modern organisation and pay a performance-based salary.

Profit from these benefits:

  • Attractive remuneration and social benefits
  • Flexible and hybrid working (onsite combined with mobile)
  • Space for creative working
  • Company pension scheme
  • Crisis-proof workplace
  • Individual development and training opportunities
  • Employee benefits & discounts
  • Bicycle leasing through salary conversion
  • Company health management

Have we awoken your interest? Then we look forward to receiving your online application. If you have any questions, please contact Franziska Rolle.

One Passion. Many Opportunities.

The company

Liebherr-Digital Development Center GmbH in Ulm develops digital solutions for the entire Liebherr Group. Our passionate team from the areas of software development, engineering and data science works together on various projects from the whole Liebherr product world. Our mission: creating outstanding digital experiences!   

Location

Liebherr-Digital Development Center GmbH

Konrad-Zuse-Strae 4

89081 Ulm

Germany (DE)

Contact

Franziska Rolle

Franziska.Rolle@liebherr.com

[Not translated in selected language]

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