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Senior Data Engineering 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 ... This role partners closely with engineering, analytics, and business teams to deliver scalable data ...

Fusion HCR

Sr Data Engineer

Las Vegas, NV · On-site

$109K - $131K/yr

Job Summary : Fusion HCR is a national property management organization seeking a Senior Data ... Required : • Bachelor's degree required in Computer Science, Data Science, Engineering ...

KēSTA I.T.

Sr. Data Engineer

Las Vegas, NV

$97K - $131K/yr

A Senior Data Engineer is responsible for designing, building, and managing data platforms and ... Master's degree preferred * 8+ years of experience in data engineering, including full-stack data ...

MDAEdge

Senior Data Engineer

Las Vegas, NV · On-site

$101K - $137K/yr

MDAEdge is a company focused on data engineering solutions, and they are seeking a Senior Data Engineer to develop and maintain data pipelines and ELT processes. The role involves collaborating with ...

MGM Resorts International

Lead Data Engineer

Las Vegas, NV · On-site

$121K - $162K/yr

... engineering initiatives from strategy and architecture through implementation, deployment, and production support. The Senior Data Engineer partners with business and technology stakeholders to ...

Redwood Materials

Data Engineering Manager

Mccarran, NV · On-site

Data Engineering Manager Redwood Materials is looking for a motivated and talented Manager of Data ... senior leadership * A Passion for sustainability and making the world a better place! Physical ...

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 ... engineering, statistics, economics, and/or a related field required. * Master's degree in computer ...

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 ... engineering, statistics, economics, and/or a related field required. * Master's degree in computer ...

AMH

Senior Data Engineer

Las Vegas, NV · On-site

$121 - $151/hr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and ... engineering, statistics, economics, and/or a related field required. * Master's degree in computer ...

AMH

Senior Data Engineer

Las Vegas, NV · On-site

$121K - $151K/yr

... Senior Data Engineer is responsible for designing, building, and managing the data platform and ... engineering, statistics, economics, and/or a related field required. * Master's degree in computer ...

Tech Mahindra

Sr. Data Engineer

Las Vegas, NV · On-site

$80 - $90/hr

A Bachelor's or Higher Degree is the minimum entry required for the position We are seeking an experienced candidate to drive our data engineering initiatives and lead a team of 5-6 engineers. This ...

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Senior Data Engineering information

What is a senior data engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

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

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

How does a senior data engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.

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

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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 Senior Data Engineering jobs in Nevada?

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

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

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

What cities in Nevada are hiring for Senior Data Engineering jobs?

Cities in Nevada with the most Senior Data Engineering job openings:

Senior Data Engineering jobs near you
Infographic showing various Senior Data Engineering 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.

Sr Data Engineer

Fusion HCR

Las Vegas, NV

$97K - $131K/yr

Full-time

Re-posted 13 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