ZipRecruiter

Log In

1

Data Engineer Jobs in Nevada (NOW HIRING)

Pwc

GenAI Python Systems Engineer-Manager

Las Vegas, NV

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Pwc

Data Strategy & Governance -Director

Las Vegas, NV

$155K - $410K/yr

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

Deloitte

AI Engineer Consultant

Las Vegas, NV · Hybrid

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 ...

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 ...

previous page

Showing results 41-60

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 Aug 22, 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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $132,091 per year, or $63.5 per hour.

Managed Services - Senior Data Engineer - Manager

Pwc

Las Vegas, NV • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

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

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Manager

Job Description & Summary

The Opportunity
As a Managed Services - Senior Data Engineer - Manager, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Data & Analytics practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. In this role, you will analyze and identify the linkages and interactions between the component parts of an entire system, taking ownership of projects to validate their successful planning, budgeting, execution, and completion.
Responsibilities
- Leading data engineering projects to drive strategic insights and optimize business performance (ETL/ELT integration)
- Developing and implementing innovative data solutions using advanced analytics techniques (DataStage)
- Managing and mentoring teams to enhance their skills and deliver quality client services (pipeline architecture)
- Utilizing business intelligence tools and cloud-based analytics platforms to improve data-driven decision-making (AWS & Redshift)
- Building and maintaining data pipelines and architectures to support analytics initiatives (DB2, SQL Server)
- Collaborating with stakeholders to identify opportunities for data utilization and process improvement (GoldenGate & CDC)
- Overseeing the deployment of scalable data visualization and reporting solutions (performance tuning)
- Promoting the adoption of new technologies and methodologies within data and analytics teams (S3, Glue)
- Addressing and resolving conflicts or issues with clients and team members, escalating when necessary
- Upholding professional and technical standards, including adherence to the firm's code of conduct and independence requirements
What You Must Have
- At least a Bachelor's degree
- At least 4 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
- Demonstrating proficiency in Business Intelligence and Reporting Tools (BIRT)
- Utilizing Python and Java for data engineering tasks
- Excelling in data visualization with QlikView and Spotfire
- Developing data architecture and pipeline strategies
- Embracing continuous process improvement in data analytics
- Leading teams in data-driven decision-making processes

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

pwc logo

About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK

View All pwc Jobs

Apply