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Data Engineer Jobs in Reno, NV (NOW HIRING)

Socket.dev

Data Engineering Manager

Reno, NV · On-site

$128K/yr

Data Engineering & Integration * Lead development and maintenance of ETL/ELT pipelines, SQL objects, integrations, interfaces, and automated data-processing workflows. * Manage data feeds from Epic ...

Tahoe Forest Health

Data Engineering Manager

Reno, NV · On-site

$128K/yr

Data Engineering & Integration * Lead development and maintenance of ETL/ELT pipelines, SQL objects, integrations, interfaces, and automated data-processing workflows. * Manage data feeds from Epic ...

INSPYR Solutions

Data Center Engineer

Reno, NV · On-site

$35 - $45/hr

Data Center Engineer Location: Reno, NV (Onsite) Pay Rate: Between $35 to $45 hourly, depends on experience and relevancy to the role. Duration: 12 months, strong potential for extension Work ...

Inficare Technologies

Data Center Engineer

Reno, NV · On-site

What We Need to See: • Associate's or bachelor's degree in engineering/Technical Major (or equivalent experience). • 5+ years with data center technology or large engineering labs. • ...

ArrowCore Group

Data Center Engineer

Reno, NV · On-site

Data Center Engineer Location: Reno, Nevada Duration: 6+Mons Looking for candidates with strong data center operations experience. Key qualifications: * 3+ years of experience in data center ...

TEKsystems

Data Center Engineer

Sparks, NV

$45/hr

Title: Data Center Engineer Rate: $45/hour Location: Sparks, NV Duration: 12+ Month Contract Top Skills Details • Data center technology or large engineering labs. • Rack Builds and testing ...

TEKsystems

Data Center Engineer

Sparks, NV

$45/hr

Title: Data Center Engineer Rate: $45/hour Location: Sparks, NV Duration: 12+ Month Contract Top Skills Details • Data center technology or large engineering labs. • Rack Builds and testing ...

Amazon

Data Center Chief Engineer

Sparks, NV

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the infrastructure that powers global cloud computing. You'll play a pivotal role in maintaining the ...

Amazon

Data Center Chief Engineer

Sparks, NV

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the infrastructure that powers global cloud computing. You'll play a pivotal role in maintaining the ...

Amazon

Data Center Chief Engineer

Sparks, NV · On-site

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the infrastructure that powers global cloud computing. You'll play a pivotal role in maintaining the ...

Amazon

Data Center Chief Engineer

Sparks, NV · On-site

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the infrastructure that powers global cloud computing. You'll play a pivotal role in maintaining the ...

Amazon

Data Center Chief Engineer

Sparks, NV · On-site

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the infrastructure that powers global cloud computing. You'll play a pivotal role in maintaining the ...

Amazon

Data Center Chief Engineer

Sparks, NV

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the infrastructure that powers global cloud computing. You'll play a pivotal role in maintaining the ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Reno, NV

Data Engineer information

See Reno, NV salary details

$44.4K

$129.3K

$177K

How much do data engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data engineer in Reno, NV is $129,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $137,100.00 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 Reno, NV?

The most popular types of Data Engineer jobs in Reno, NV are:

What are popular job titles related to Data Engineer jobs in Reno, NV?

For Data Engineer jobs in Reno, NV, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Reno, NV look for?

The top searched job categories for Data Engineer jobs in Reno, NV are:

What cities near Reno, NV are hiring for Data Engineer jobs?

Cities near Reno, NV with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Reno, NV as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $129,336 per year, or $62.2 per hour.

Population Health Data Engineer

Carson City, NV • On-site

Software Technology Inc
See more jobs at Software Technology Incexternal

$112K - $134K/yr

Full-time

Posted 15 days ago

Job description

Population Health Data Engineer

We are seeking a skilled Population Health Data Engineer with deep expertise in Epic data ecosystems and healthcare analytics. This role will focus on designing, building, and optimizing data pipelines and models to support population health, quality of care and claims analytics.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines supporting population health, claims analytics, and reporting.
  • Work extensively with Epic data sources including Registries, Rosters, Chronicles, Clarity, and Caboodle.
  • Integrate clinical and claims data to support longitudinal patient views and advanced analytics.
  • Develop data models for population health use cases including quality measures, risk stratification, utilization, and care management analysis.
  • Support development and operationalization of risk scoring data models and analytics (e.g., MARA, HCC, RAF).
  • Process and transform healthcare claims data (medical and pharmacy) for analytics and reporting.
  • Work with Milliman MedInsight data structures to support payer-provider analytics and efficiency benchmarking.
  • Build and optimize ELT pipelines using modern cloud platforms.
  • Collaborate with healthy planet, efficiency, quality, clinical, and analytics teams to translate business needs into technical solutions.
  • Ensure data quality, governance, and compliance with healthcare regulations (e.g., HIPAA).
  • Optimize performance of large-scale datasets and queries.

Required Qualifications

  • Strong hands-on experience with Epic systems, including:
    • Epic Registries
    • Chronicles data structures
    • Hyperspace or Hyperdrive environments
    • Clarity and Caboodle data models
  • Experience with modern data engineering tools and platforms:
    • Snowflake (data warehousing)
    • DBT (data transformation and modeling)
    • Dynamic Tables in Snowflake
  • Solid understanding of healthcare domain concepts, including population health and value-based care.
  • Experience with healthcare claims processing (medical and pharmacy claims).
  • Hands-on experience with Milliman MedInsight data models and analytics workflows.
  • Strong SQL and data modeling expertise.
  • Experience building and maintaining data pipelines.

Key Skills

  • Population Health & Risk Analytics
  • Healthcare Data Modeling (Clinical and Claims)
  • Epic Data Ecosystem Expertise
  • Snowflake & DBT
  • SQL & Performance Optimization
  • Data Governance & Compliance

Education & Experience

  • Bachelor's or Master's degree in Computer Science, Health Informatics, Data Engineering, or related field.
  • 6+ years of experience in data engineering, with strong preference for healthcare, payer, or population health analytics experience.

Apply