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Data Engineer Jobs in Nevada (NOW HIRING)

Software Technology Inc

Data Engineer

Las Vegas, NV · On-site

$110K - $132.10K/yr

Data Engineer The Data Engineer will create and manage data pipelines which turn data into knowledge. Roles And Responsibilities For The Data Engineer Are: * Participate in architecture development ...

Ormat Technologies, Inc.

Data Engineer

Reno, NV · On-site +1

$114.20K - $137.10K/yr

The Data Engineer will serve as the central architect and steward of data systems supporting the RDE teams. This role is responsible for designing, building, and maintaining scalable data ...

Ormat

Data Engineer

Reno, NV · On-site +1

$114.20K - $137.10K/yr

The Data Engineer will serve as the central architect and steward of data systems supporting the RDE teams. This role is responsible for designing, building, and maintaining scalable data ...

Diverse Lynx

Data Engineer

Las Vegas, NV · On-site

$120K/yr

Data Engineer Location: Las Vegas, NV(Onsite) Job Type: Fulltime Salary: $120K per annum Develop and maintain data pipelines, ELT processes, and workflow orchestration using Apache Airflow, Python ...

Tata Consultancy Services

Data Engineer

Las Vegas, NV · On-site

$110K - $130K/yr

Stay up-to-date with emerging technologies and best practices in data engineering. Document data workflows, processes, and technical specifications to facilitate knowledge sharing and ensure data ...

Zortech Solutions

Data Engineer USA

Carson City, NV · Hybrid

$112.10K - $134.70K/yr

Data Engineer Role: Data Engineer Required legal status: Green Card, Green Card-EAD, US Citizen Location: Charlotte, NC (Hybrid work model) Job involves: * Extract, Transform, Load (ETL) operations

New

1872 Consulting

Data Engineer

Las Vegas, NV · On-site

$110K - $132.10K/yr

Data Engineer Portland, Los Angeles, Las Vegas, Denver, Vancouver, BC What You Will Do: * Build new systems to provide real-time streaming analytics and event processing pipeline based on fast data ...

Taurean Consulting

Sr. Data Engineer

Las Vegas, NV · Remote

$109.40K - $131.40K/yr

We are seeking a Senior Data Engineer to join a highly collaborative and technically strong data engineering team remotely supporting a major cloud transformation initiative. This role is critical to ...

Taurean Consulting Group

Sr. Data Engineer

Las Vegas, NV · Remote

$109.40K - $131.40K/yr

We are seeking a Senior Data Engineer to join a highly collaborative and technically strong data engineering team remotely supporting a major cloud transformation initiative. This role is critical to ...

Taurean Consulting

Sr. Data Engineer

Las Vegas, NV · Remote

$110K - $132.10K/yr

We are seeking a Senior Data Engineer to join a highly collaborative and technically strong data engineering team remotely supporting a major cloud transformation initiative. This role is critical to ...

My3Tech Inc

Data Engineer

Las Vegas, NV · On-site

$110K - $132.10K/yr

MDM Engineer - Reltio They would help set up a new Reltio implementation for Game master data: * Design, configure, and implement Reltio Master Data Management (MDM) solutions. * Develop and manage ...

Slickdeals

Sr. Data Engineer

Las Vegas, NV · Hybrid

$130K - $180K/yr

Sr. Data Engineer Location: Las Vegas, NV or San Mateo, CA About Slickdeals: We believe shopping should feel like winning. That's why 10 million people come to Slickdeals to swap tips, upvote the ...

Pwc

Data Engineer - Manager

Las Vegas, NV · On-site

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Photon

Lead Data Engineer

Las Vegas, NV

$110K - $132.10K/yr

Stay up-to-date with emerging technologies and best practices in data engineering. * Document data workflows, processes, and technical specifications to facilitate knowledge sharing and ensure data ...

Photon

Lead Data Engineer

Las Vegas, NV

$98.50K - $129.70K/yr

Lead Data Engineer Location : Las Vegas, NV (Onsite) We are seeking an experienced Technical Lead to drive our data engineering initiatives and lead a team of 5-6 engineers. This role requires a ...

eTeam

Lead Data Engineer

Las Vegas, NV · On-site

$98.50K - $129.70K/yr

Technical Lead - Data Engineering Descriptions: Position Overview We are seeking an experienced Technical Lead to drive our data engineering initiatives and lead a team of 5-6 engineers. This role ...

Fusion HCR

Sr Data Engineer

Las Vegas, NV · On-site

$101.90K - $138.40K/yr

Senior Data Engineer Location: Las Vegas, NV Work Arrangement: 100% Onsite - 5 days per week (Required) Employment Type: Direct Hire Industry: Property Management / Real Estate Technology Client:

Fusion HCR

Sr Data Engineer

Las Vegas, NV

$97K - $131.80K/yr

Senior Data Engineer Location: Las Vegas, NV Work Arrangement: 100% Onsite - 5 days per week (Required) Employment Type: Direct Hire Industry: Property Management / Real Estate Technology Client:

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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 May 28, 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 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.

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.

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 are Data Engineers?

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 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.

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 May 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 77% In-person, 11% Hybrid, and 12% Remote job distribution, with an average salary of $132,091 per year, or $63.5 per hour.
Data Engineer

Data Engineer

Software Technology Inc

Las Vegas, NV • On-site

$110K - $132.10K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Engineer

The Data Engineer will create and manage data pipelines which turn data into knowledge.

Roles And Responsibilities For The Data Engineer Are:
  • Participate in architecture development and solution design sessions
  • Develop data assets (ETL/ELT pipelines, data structures etc.) on Wynn’s cloud infrastructure
  • Drive data quality processes like data profiling, data cleansing etc.
  • Guide other data engineers in the team
  • Participate in requirements sessions and data analysis
  • Convert business requirements for information to technical specifications for data ingestion solutions
  • Define, design & implement different data ingestion patterns based on business needs & requirements
  • Participate in data modeling & contribute to the development of data models
  • Participate in data governance initiatives
  • Ensure data integrity & quality is maintained throughout the solution; develop data quality solutions as part of the data flow
  • Document data flows and other design specifications
  • Evaluate best-fit data ingestion, integration & replication tools for cloud-based data analytics use cases
  • Implement real-time data transfers to ensure data is made available to the business at the right time & the right place
  • Maintain & support the data ingestion tools & solutions
Experience And Qualifications

The ideal candidate will possess the following skills, experiences and qualifications:

  • Proven experience as a data engineer in an Azure cloud-based data analytics project; at least 2 similar project experience
  • Hands-on experience in cloud-based data ingestion tools (specifically on the Microsoft Azure and Snowflake platforms)
  • Strong knowledge of Delta Lakehouse concepts
  • Understanding & the ability to evaluate new age & best fit tools that may be new in the market (Qlik Replicate, DataBricks, Azure Data Factory)
  • Strong knowledge & experience in cloud-based data warehousing & analytics
  • Strong understanding of data models
  • Familiarity with BI and analytics
  • Experience with programming languages like SQL, Python, Spark etc.
  • Proven abilities to take initiative and be innovative

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