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Data Engineering Jobs in Nevada (NOW HIRING)

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 ...

Fusion HCR

Sr Data Engineer

Las Vegas, NV · On-site

$97K - $131K/yr

This role partners closely with engineering, analytics, and business teams to deliver scalable data solutions that support analytics, BI, and future AI/ML use cases. Critical Skill Priorities (In ...

Pwc

AI & GenAI Data Scientist - Manager

Las Vegas, NV

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

Pwc

Data Strategy-Manager

Las Vegas, NV

$99K - $232K/yr

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

KēSTA I.T.

Sr. Data Engineer

Las Vegas, NV

$125K - $151K/yr

Master's degree preferred * 8+ years of experience in data engineering, including full-stack data capabilities * 10+ years of experience in software development or programming * 5+ years of ...

Deloitte

Data Engineer II

Las Vegas, NV · On-site

$109K - $131K/yr

These solutions are powered by engineering for business advantage, transforming mission-critical ... Experience with data integration frameworks and orchestration tools. * Working knowledge of ...

Programmers.io

Technical Program Manager

Las Vegas, NV · On-site

$123K - $159K/yr

The TPM will drive strategy, delivery, and governance across data engineering, analytics, and platform modernization efforts--managing roadmaps, budgets, risks, and stakeholder communication while ...

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Showing results 21-40

All JobsData Engineering JobsData Engineering Jobs in Nevada

Data Engineering information

See Nevada salary details

$46.8K

$168K

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How much do data engineering jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data engineering in Nevada is $168,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,900.00 and $173,100.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

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

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

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

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

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

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

What cities in Nevada are hiring for Data Engineering jobs?

Cities in Nevada with the most Data Engineering job openings:

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $168,039 per year, or $80.8 per hour.

Head of Data

Light and Wonder, Inc.

Las Vegas, NV • On-site

Full-time

Re-posted 18 days ago

Key responsibilities

  • Build and establish L&W's centralized data hub, including infrastructure, master data management, governance, data engineering, analytics engineering, and data science capabilities.

  • Develop and implement a multi-year data strategy and roadmap aligned with enterprise AI ambitions, including platform decisions and data investment planning.

  • Establish and operate enterprise data governance policies, ensure data quality and security, and build trust and shared definitions for data use across the organization.

Light & Wonder rating

7.2

Company rating: 7.2 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

10th of 15 rated gambling companies

Job description

Corporate:
Light & Wonder's corporate team is comprised of incredible talent that works across the enterprise, defying boundaries to provide essential services in an extraordinary manner to ensure the success of the organization and the well-being of employees.
Position Summary
The Head of Data is a critical, highly visible leadership role at the heart of Light & Wonder's AI transformation. Reporting directly to the Chief Strategy Officer, this leader will build L&W's centralized data hub, establishing the infrastructure, master data management, governance, and data science capability that the enterprise AI agenda depends on. This role partners directly with the Executive Leadership Team, business unit leaders, Finance, Operations, and Technology to ensure data becomes a defensible source of competitive advantage and a measurable driver of business value.
Light & Wonder has embarked on an ambitious AI-enabled transformation, and the Head of Data will serve as a core architect of that journey, translating L&W's data ambition into infrastructure, capability, and outcomes that directly support the enterprise AI AEBITDA agenda. This is an executive level role with significant scope, significant visibility and significant impact.
Primary Roles and Responsibilities Include:
Lead the Build of L&W's Centralized Data Function
  • 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-and-spoke operating model that pairs centralized standards with embedded data partnership across business units and functions.
  • Hire, onboard, and develop the full data hub team, building a high-performing organization with a strong talent bar and low attrition.

Develop and Execute the Multi-Year Data Strategy
  • Develop a multi-year data roadmap covering infrastructure, master data management, governance, and AI-aligned use-case sequencing, endorsed by the Executive Leadership Team and integrated into the broader AI transformation plan.
  • Translate L&W's enterprise strategy and AI ambitions into a sequenced, executable data investment plan with clear value, timing, and accountability.
  • Make architectural and platform decisions that establish Snowflake-as-source-of-truth, modern data tooling, and governance standards across the enterprise.

Drive Measurable Business Value
  • Deliver an early, fully shipped, financially-validated win that demonstrates the value of the data function, visible to leadership, signed off by Finance, and meaningful in dollar impact.
  • Stand up data infrastructure that materially supports Finance and Operations in achieving their AI AEBITDA targets, including documented data dictionaries, lineage, and shared definitions.
  • Ensure the data infrastructure built and operated by this role drives a meaningful share of L&W's enterprise AI AEBITDA target by 2028, with Finance attestation.
  • Build and deliver an R&D Intelligence Layer to support portfolio and game development decision-making, partnering closely with the Head of Product.

Establish Enterprise Data Governance and Trust
  • Establish and operate enterprise data governance, including policies, stewardship roles, data domains, decision rights, and an executive Data Council. Governance must drive measurable adherence and behavior change, not just policy documentation.
  • Ensure data quality, security, regulatory compliance, and AI-readiness across critical data domains.
  • Build the trust, transparency, and shared definitions that allow data to be confidently used in decisions across Finance, Operations, and the business units.

Executive Leadership Collaboration and Strategic Influence
  • Serve as a trusted partner to the Chief Strategy Officer, Executive Leadership Team, and Board on data and AI priorities.
  • Build coalitions with peer leaders across Technology, Finance, Operations, and the business units, driving alignment without relying on hierarchical authority.
  • Prepare and deliver executive-level communications, insights, and recommendations that translate data and AI strategy into business outcomes.

Qualifications
  • Significant experience leading data, analytics, or data engineering organizations.
  • Track record of building data capability in technically complex environments, including organizations with fragmented systems, multiple ERPs, and limited integrated data infrastructure. Comfort and credibility operating in technical complexity is essential.
  • Demonstrated ability to translate data investments into measurable business value, expressed in dollars of revenue, cost, or AEBITDA, rather than platforms shipped or models built.
  • Hands-on credibility in modern data infrastructure and data engineering, including cloud data platforms (Snowflake, Databricks, or equivalent), modern data tooling (dbt, MDM tooling), and ML platform fundamentals, sufficient to make architectural calls and hire well.
  • Strong working knowledge of current AI tooling, agentic workflows, LLM capabilities, and how they fit into an enterprise data strategy.
  • Proven ability to develop proof points and pilots through iterative phases, demonstrating value sequentially rather than betting on big-bang delivery.
  • Track record of building cross-functional coalitions with peer-level executives such as CTOs, CFOs, COOs, and BU heads, and navigating disagreements with peer technical leaders.
  • Demonstrated ability to attract, retain, and develop top-tier talent, with a track record of hiring people stronger than themselves and holding a high bar.
  • Public-company experience strongly preferred, including comfort with audit, regulatory, and disclosure requirements.
  • Industry experience in gaming, hospitality, entertainment, media, or another complex multi-business-unit consumer enterprise is a plus.

Education:
  • Bachelor's degree required; advanced degree (MBA, MS, PhD, or equivalent in a quantitative or technical field) preferred.

Work Conditions:
Light & Wonder and its affiliates (collectively, L&W) are engaged in highly regulated gaming businesses. As a result, certain L&W employees may, among other things, be required to obtain a gaming or other license(s), undergo background investigations or security checks, or meet certain standards dictated by law, regulation or contracts.
In order to ensure L&W complies with its regulatory and contractual commitments, as a condition to hiring and continuing to employ its employees, L&W requires all of its employees to meet those requirements that are necessary to fulfill their individual roles. As a prerequisite to employment with L&W (to the extent permitted by law), you shall be asked to consent to L&W conducting a due diligence/background investigation on you.
This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job. The employee in this position may be requested to perform other job-related tasks and responsibilities than those stated above.
Light & Wonder is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you'd like more information about your equal employment opportunity rights as an applicant under the law, please click here for EEOC Poster.

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