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Data Engineer Jobs in Reno, NV (NOW HIRING)

Data Capital Inc

Data Architect

Virginia City, NV

$65.25 - $84/hr

You will work closely with data engineers, cloud teams, analysts, and stakeholders to build robust data pipelines, optimized data models, and enterprise data architectures in a cloud environment ...

Colovore

Data Center Operations Engineer

Reno, NV · On-site

They are seeking a Data Center Operations Engineer to support daily operations, perform preventative maintenance, and ensure uptime across critical infrastructure systems while collaborating with ...

Fleet Data Centers

Project Engineer

Sparks, NV · On-site

$110K - $130K/yr

Fleet Data Centers designs, builds and operates mega-scale data center campuses. Fleet provides its ... Fleet is well positioned to bring in-house design, engineering and operational capabilities to ...

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Data Engineer information

See Reno, NV salary details

$44.4K

$129.3K

$177K

How much do data engineer jobs pay per year?

As of May 30, 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 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.

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.

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 are Data Engineers?

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 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.

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 May 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 80% In-person, 9% Hybrid, and 11% Remote job distribution, with an average salary of $129,336 per year, or $62.2 per hour.

Data Architect

Data Capital Inc

Virginia City, NV

$65.25 - $84/hr

Other

Posted 11 days ago

Job description

We are seeking a highly experienced Principal Solutions Architect / Tech Lead to design and lead the implementation of enterprise-scale data platforms for a federal agency. This role will serve as the primary data warehouse and data lake architect, driving the design of scalable, secure, and high-performance data solutions supporting analytics and visualization platforms.

You will work closely with data engineers, cloud teams, analysts, and stakeholders to build robust data pipelines, optimized data models, and enterprise data architectures in a cloud environment.

🔹 Required Qualifications

💼 Experience

10+ years in:
Data architecture
Data warehousing
Data platform design
Strong experience leading enterprise data initiatives
Expertise in:

Data modeling (logical + physical)
Data lake & warehouse architecture
Performance tuning and optimization
Hands-on with:

Databricks
Palantir Foundry (nice to have)
Strong experience with:

Data lakes
Data warehouses (Redshift, Snowflake, etc.)
Relational and NoSQL databases

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