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Data Engineer Jobs in Reno, NV (NOW HIRING)

Bespoke Labs

Data Engineer

Sparks, NV · On-site

$117K - $140K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Carson City, NV · On-site

$112K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Socure

Analytics Engineer

Carson City, NV

You will collaborate closely with Data Engineering, who manage the source-to-mesh pipelines, and build everything needed to deliver clean, reliable, analytics-ready data into the BI workspace. This ...

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 ...

New

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 ...

New

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 ...

New

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 ...

New

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 ...

New

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 ...

New

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 ...

New

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 ...

New

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 ...

New

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 ...

New

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 ...

New

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 ...

New

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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 Jul 11, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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.

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
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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:
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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

Data Engineer

MERCURY GROUP STAFFING AND PLACEMENT SERVICES

Reno, NV • On-site, Remote

$58.83 - $82.37/hr

Full-time

Posted 7 days ago

New

Job description

Job Title: Data Engineer
Location: Reno, NV (Remote or Hybrid)
Salary Range: $58.83-$82.37 per hour

Primary Responsibilities:

  • Experience with AWS infrastructure including AWS Connect and AWS Lambda.
  • Manage and optimize the movement and validation of data from an Epic EMR system to SQL databases in AWS or Azure and either from or to the Salesforce platform.
  • Accountable for data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance.
  • Oversee the development of novel data pipelines that integrate and normalize large data from a variety of sources to enable learning health, machine learning model development, and deployment.
  • Design, direct, and implement ETL processes, including data capture, data quality, testing, and validation methods.
  • Layer in instrumentation in the development process so that data pipelines can be monitored.
  • Build processes and diagnostic tools to troubleshoot, maintain, and optimize engineering environments and respond to production issues.
  • Provide subject matter expertise and hands-on delivery of data capture, curation, and consumption pipelines for AWS.
  • Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the Azure platform.
  • Develop documentation, such as data dictionaries, guides, or data flow diagrams that assist staff in identifying, locating, and using the organizations data.

Incumbent Must Possess:

  • Minimum of 3 years of SQL programming experience and associated SQL tools (SSIS, SSMS, SSRS, etc.).
  • Experience with Visual Studio is preferred.
  • At least 3 years of experience in developing data ingestion, data processing, and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions.
  • Minimum of 3 years of RDBMS experience.
  • Extensive hands-on experience implementing data migration and data processing using Amazon Web Services. Includes knowledge of Amazon Connect and Amazon Lambda.
  • Knowledge of medical terminology, especially ICD-10 codes, CPT codes, DRG codes, and an understanding of adjudicated claims data.
  • Excellent verbal and written communication skills.

Minimum Qualifications:

  • Education: Masters degree with 10 years experience preferred; Bachelors degree with 13 years of equivalent experience will be considered in place of masters degree requirement.
  • Experience: Requires a minimum of 10 years experience with at least five (5) years working in data management, data engineering, or data architecture. Enterprise Data Warehouse development preferred; Requires at least five (5) years working with healthcare data; more is preferred. SQL proficiency is required.
  • License(s): None
  • Certification(s): Certification work related to Epic or Amazon Cloud may be required within 1 year of starting employment.
  • Computer / Typing: Must be proficient with Microsoft Office Suite, including Outlook, PowerPoint, Excel, and Word and can use the computer to complete online learning requirements for job-specific competencies, access online forms and policies, complete online benefits enrollment, etc.

This role offers a unique opportunity to work on cutting-edge data engineering projects in the healthcare industry. If you meet the qualifications and are excited about the potential of this role, we encourage you to apply.

Apply