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Data Engineering Jobs in Reno, NV (NOW HIRING)

Progressive Gaming

Data Engineer II

Reno, NV

$114K - $137K/yr

Contribute to engineering best practices through code reviews, documentation, and knowledge sharing. * Support continuous improvement of the enterprise data platform by identifying opportunities for ...

IGT

Data Engineer II

Reno, NV

$114K - $137K/yr

Contribute to engineering best practices through code reviews, documentation, and knowledge sharing. * Support continuous improvement of the enterprise data platform by identifying opportunities for ...

Echo Global Logistics

Sr. Data Engineer

Reno, NV · On-site +1

$114K - $137K/yr

This is an AI-first engineering role. We expect you to leverage AI tools to design, build, and ... As our Senior Data Engineer, you'll lead the design and development of scalable data pipelines and ...

Echo Global Logistics

Sr. Data Engineer

Reno, NV · On-site +1

$114K - $137K/yr

This is an AI-first engineering role. We expect you to leverage AI tools to design, build, and ... As our Senior Data Engineer, you'll lead the design and development of scalable data pipelines and ...

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 ...

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 ...

SynergisticIT

Junior Data/BI Analyst

Carson City, NV · On-site

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

New

Panasonic

Forward Deployed Data X Manager

Sparks, NV · On-site

Lead and mentor forward-deployed data engineers, analytics engineers, and data scientists * Manage execution under real-world factory constraints * Travel and extended on-site assignments are a core ...

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 ...

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All JobsData Engineering JobsData Engineering Jobs in Reno, NV

Data Engineering information

See Reno, NV salary details

$45.9K

$164.5K

$242.8K

How much do data engineering jobs pay per year?

As of Jul 19, 2026, the average yearly pay for data engineering in Reno, NV is $164,534.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,100.00 and $169,500.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure 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 optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Reno, NV? The most popular types of Data Engineering jobs in Reno, NV are:
What are popular job titles related to Data Engineering jobs in Reno, NV? For Data Engineering jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Reno, NV look for? The top searched job categories for Data Engineering jobs in Reno, NV are:
What cities near Reno, NV are hiring for Data Engineering jobs? Cities near Reno, NV with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Reno, NV as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $164,534 per year, or $79.1 per hour.
Data Engineering Manager

Data Engineering Manager

Redwood Materials

Mccarran, NV

Other

Posted yesterday

New

Job description

Data Engineering Manager

Redwood Materials is looking for a motivated and talented Manager of Data Engineering to lead a team of Data Engineers and Analysts. This role requires collaboration with other business units to identify needs, scope problems, and chart the long-term roadmap for the data platform and services. The Data team is responsible for managing data assets in a data lake architecture and overseeing the full data lifecycle from ingestion to processing to consumption. The ideal candidate is someone with experience managing technical teams, strong interpersonal skills, and technical skills in data engineering and creating/managing/supporting AWS infrastructure.

Responsibilities will include:

  • Lead and grow a team of data engineers and analysts, including hiring, mentoring, career development, and performance management
  • Own the long-term roadmap and prioritization for the data platform, balancing infrastructure investment, new pipeline development, and analytics requests from across the business
  • Drive cross-functional collaboration with teams across Redwood to discover needs, scope problems, and translate requirements into technical deliverables
  • Oversee the design and operation of data pipelines spanning streaming datasets, APIs, and various data stores, ensuring they meet reliability and quality standards
  • Operationalize the team - set on-call expectations, triage incoming work, and ensure production data workloads have appropriate monitoring and incident response
  • Stay technically hands-on - review code, prototype solutions, and step into pipeline or infrastructure work alongside the team
  • Foster a culture of technical excellence and execution, and champion the data team's work across the broader organization

Desired Qualifications:

  • Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience
  • Minimum 5 years of hands-on experience building data solutions in a modern cloud environment, with at least 2 years managing technical teams
  • Strong technical foundation in Python and SQL sufficient to review code, evaluate design decisions, and guide the team through hard technical problems (Trino experience a plus)
  • Familiarity with the modern data engineering stack - relational and non-relational data stores, ELT orchestration, transformation tooling, and data observability/catalog tooling
  • Experience operating data platforms in AWS using infrastructure-as-code methodologies (CDK a plus); familiarity with containerized workloads in Kubernetes nice to have
  • Demonstrated ability to manage production data workloads at scale (detecting and diagnosing issues, monitoring, incident response)
  • Strong interpersonal and communication skills; able to translate between business stakeholders and technical teams, and to advocate for the team's roadmap with senior leadership
  • A Passion for sustainability and making the world a better place!

Physical Requirements:

  • Constantly perform desk-based computer tasks, grasp lightly/fine manipulation.
  • Occasionally stand/walk, twist/bend/stoop/squat, reach/work above shoulders, sort/file paperwork or parts, lift/carry/push/pull objects that weigh up to 10 pounds.

Working Conditions:

  • Infrequent night/weekend work if production systems are down and require immediate attention.

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