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Senior Data Engineer Jobs in Nevada (NOW HIRING)

Fusion HCR

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:

Echo Global Logistics

Sr. Data Engineer

Reno, NV · On-site +1

$114K - $137K/yr

As our Senior Data Engineer, you'll lead the design and development of scalable data pipelines and data products on our Azure-based platform, with Databricks at the core. You'll build trusted ...

Fusion HCR

Sr Data Engineer

Las Vegas, NV · On-site

$109K - $131K/yr

Fusion HCR is a national property management organization seeking a Senior Data Engineer to enhance their modern Databricks-first data platform. The role involves designing and optimizing data ...

Echo Global Logistics

Sr. Data Engineer

Reno, NV · On-site +1

$114K - $137K/yr

As our Senior Data Engineer, you'll lead the design and development of scalable data pipelines and data products on our Azure-based platform, with Databricks at the core. You'll build trusted ...

KēSTA I.T.

Sr. Data Engineer

Las Vegas, NV

$125K - $151K/yr

T. is actively seeking a Senior Data Engineers for two immediate full-time opportunities with our industry leading client. Are you on the lookout for a unique career opportunity that offers ...

VOLT

Senior Data Engineer

Las Vegas, NV · On-site

$120K - $150K/yr

As a Senior Data Engineer, you will be responsible for : * Design, develop, and maintain real-time or batch data pipelines to process and analyze large volumes of data. Designs and develops programs ...

AMH

Senior Data Engineer

Las Vegas, NV · On-site

$101K - $137K/yr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools for efficient processing and analysis of large data sets, while collaborating with business ...

Amh

Senior Data Engineer

Las Vegas, NV · On-site

$121K - $151K/yr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and analysis of large data sets. Develops and maintains ...

American Homes 4 Rent

Senior Data Engineer

Las Vegas, NV · On-site

$121K - $151K/yr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and analysis of large data sets. Develops and maintains ...

Fusion HCR

Senior Data Engineer

Las Vegas, NV · On-site

$101K - $137K/yr

Fusion HCR is seeking a highly skilled Data Engineer to design, enhance, and support innovative ... • Provide senior-level and on‑call support for data integration solutions. • Lead or ...

MGM Resorts International

Lead Data Engineer

Las Vegas, NV · On-site

$121K - $162K/yr

The Senior Data Engineer provides technical leadership in the architecture, development, and operational management of enterprise data platforms and integration services that enable data-driven ...

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Senior Data Engineer information

See Nevada salary details

$82.5K

$128.6K

$178.2K

How much do senior data engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for senior data engineer in Nevada is $128,641.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,900.00 and $146,600.00 per year, depending on experience, location, and employer.

What are Senior Data Engineers?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

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

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
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 Senior Data Engineer jobs in Nevada? For Senior Data Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Nevada look for? The top searched job categories for Senior Data Engineer jobs in Nevada are:
What cities in Nevada are hiring for Senior Data Engineer jobs? Cities in Nevada with the most Senior Data Engineer job openings:
What are popular job titles related to Senior Data Engineer jobs in NV? For Senior Data Engineer jobs in NV, the most frequently searched job titles are:
Senior Data Engineer jobs near you
Sr Data Engineer

Sr Data Engineer

Fusion HCR

Las Vegas, NV

$97K - $131K/yr

Full-time

Re-posted 29 days ago

Job description

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 client – large, national property management organization
Position Summary
A Fusion client in the property management space is seeking a Senior Data Engineer to play a key role in building, scaling, and optimizing a modern Databricks-first data platform. This role is heavily hands-on and focused on designing and improving Spark-based data pipelines using Databricks, Python, and SQL in a cloud environment.
The Senior Data Engineer will lead large-scale data initiatives, including onboarding new data sources into the data warehouse, building real-time and batch data pipelines, and significantly improving pipeline performance and reliability. 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 Order of Importance)
  • Hands-on Databricks experience (Required)
  • Strong Python scripting and SQL (daily, hands-on use)
  • Apache Spark for cloud data loading and transformation
  • Large-scale data initiatives (new source ingestion, platform expansion)
  • Real-time and streaming data pipelines
  • Pipeline performance tuning and optimization

Key Responsibilities
  • Design, build, and maintain real-time and batch data pipelines using Databricks and Spark
  • Develop Python- and Spark-based processes for cloud data ingestion, transformation, and loading
  • Lead large data initiatives such as:
  • Bringing new internal and external data sources into the data warehouse
  • Supporting streaming and near–real-time data use cases
  • Improving pipeline speed, scalability, and reliability
  • Design and evolve data architecture supporting analytics, BI, and future AI/ML initiatives
  • Collaborate with cross-functional teams to translate business requirements into scalable data solutions
  • Monitor pipeline health, troubleshoot data issues, and improve system performance
  • Participate in code reviews and promote best practices around testing, CI/CD, and maintainable data pipelines
  • Contribute to the design and development of data products and data services consumed across the organization

Required Qualifications
  • Bachelor’s degree required in Computer Science, Data Science, Engineering, Information Systems, Mathematics, Statistics, or a related field
  • Candidates with fewer years of experience may be considered only if degree requirements are met
  • 5+ years of hands-on experience as a Data Engineer
  • Strong, hands-on experience with Databricks and Apache Spark
  • Strong proficiency in Python scripting for data processing and pipeline development
  • Advanced SQL skills for analytics, transformations, and troubleshooting
  • Experience building and supporting cloud-based data pipelines
  • Experience working with large-scale data platforms and warehouses
  • Strong troubleshooting and problem-solving skills

Preferred / Nice-to-Have Qualifications
  • Experience with Snowflake (may be considered in place of some Databricks experience)
  • Experience with streaming technologies (Spark Streaming, Kafka, Event Hub, etc.)
  • Experience optimizing and tuning data pipelines for performance and scalability
  • Experience with CI/CD practices in data engineering environments
  • Familiarity with BI tools such as Power BI or Tableau
  • Experience working in Agile development environments