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Data Engineer Data Jobs in Nevada (NOW HIRING)

Data Engineer - Senior Manager

Las Vegas, NV ยท On-site

$124K - $280K/yr

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 ...

Data Engineer

Sparks, NV

$117K - $140K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

AI and Data Science Engineer III

Las Vegas, NV ยท On-site +1

$109K - $131K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

Data Engineer

Las Vegas, NV

$109K - $131K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Carson City, NV ยท On-site

$112K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Henderson, NV

$104K - $125K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Strategy-Manager

Las Vegas, NV ยท On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

AI Data Engineer - Manager

Las Vegas, NV

$109K - $131K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of ...

Data Governance- Manager

Las Vegas, NV ยท On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Lead Data Engineer

Las Vegas, NV

$110K - $132K/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 ...

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 ...

Data Engineer - Senior Associate

Las Vegas, NV ยท On-site

$77K - $202K/yr

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 ...

They are seeking an AI Data Engineer - Manager to lead data architecture and engineering delivery for AI/ML/GenAI solutions, ensuring data integrity and scalability while managing a team and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

AI Data Engineer - Senior Consultant

Las Vegas, NV ยท Hybrid

$99K - $137K/yr

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

Sr Data Engineer

Las Vegas, NV ยท On-site

$97K - $131K/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:

Sr Data Engineer

Las Vegas, NV

$97K - $131K/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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Data Engineer Data information

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

What is the difference between Data Engineer Data vs Data Analyst?

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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 solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What are popular job titles related to Data Engineer Data jobs in Nevada? For Data Engineer Data jobs in Nevada, the most frequently searched job titles are:
What cities in Nevada are hiring for Data Engineer Data jobs? Cities in Nevada with the most Data Engineer Data job openings:

Technology, Software, Data & AI Talent Network

Lumova Talent

Las Vegas, NV โ€ข On-site, Remote

$80K - $200K/hr

Full-time

Posted 10 days ago


Job description

Technology, Software, Data & AI Talent Network


Build, support, and scale the technology behind modern healthcare, data, and the AI revolution.

We connect experienced technology, software, data, AI, and enterprise systems professionals with opportunities across world-class organizations, including Fortune 500 companies, enterprise clients, healthcare technology companies, hospitals, ambulatory networks, and high-growth organizations.


This talent network is for professionals who are open to the right opportunity, not just any opportunity.

Our focus is on understanding your technical background, strengths, preferred work environment, career goals, and the type of role that would actually make sense for your next move. We look beyond job titles because strong alignment depends on the team, product, platform, technology stack, leadership, company stage, work arrangement, and long-term growth path.


You may not see the perfect role posted today. That does not mean the right opportunity will not come up.

By joining our Healthcare Technology, Software, Data & AI Talent Network, you give us a way to keep you in mind for future searches across software engineering, cloud infrastructure, backend systems, full stack development, DevOps, data engineering, AI, machine learning, cybersecurity, product, implementation, customer success, HR systems, and enterprise applications.


When there is a strong match, we can reach out with role details, location, compensation, work arrangement, and next steps upfront.


We work with professionals across healthcare technology, software engineering, cloud, data, AI, cybersecurity, product, implementation, enterprise systems, IT, HRIS, Workday, Salesforce, and other business-critical platforms.


Most opportunities we support are U.S.-based and require current authorization to work in the United States without employer sponsorship, now or in the future. Many client opportunities do not support visa sponsorship, visa transfers, or international remote work.


Because this is a talent network and not a single open position, requirements may vary by client and role. When there is a potential match, we will share the specific location, work arrangement, compensation, and sponsorship details upfront.


If you are open to future technology, software, data, AI, or enterprise systems opportunities, we invite you to submit your background and stay connected.

Keywords: Software Engineer, Full Stack Engineer, Backend Engineer, Frontend Engineer, Cloud Engineer, DevOps Engineer, Site Reliability Engineer, Platform Engineer, Data Engineer, Machine Learning Engineer, AI Engineer, Data Scientist, Systems Analyst, Business Analyst, Product Manager, Implementation Consultant, Customer Success Manager, Cybersecurity Analyst, HRIS Analyst, Workday Analyst, Salesforce Administrator, Applications Analyst, Solutions Architect, IT Project Manager, IT Manager, Technology Director.