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Manager Data Engineering Jobs in Reno, NV (NOW HIRING)

baker

Sr. Project Manager - Data Centers

Reno, NV

Build, mentor, and develop high-performing project teams, including Project Engineers, Assistant ... DATA CENTER EXPERIENCE PREFERRED: * Experience managing electrical scopes in hyperscale, colocation ...

Baker-Electric

Sr. Project Manager - Data Centers

Reno, NV · On-site

$140K - $185K/yr

Serve as a primary liaison with clients, general contractors, owners, architects, engineers ... DATA CENTER EXPERIENCE PREFERRED: * Experience managing electrical scopes in hyperscale, colocation ...

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 ...

CBRE

Project Manager - Data Center

Reno, NV · On-site

Initiate and coordinate the design efforts and the value of engineering processes. * Schedule the ... construction management, data centers, or structured cabling environment. * Track record of ...

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Showing results 1-20

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Reno, NV

Manager Data Engineering information

See Reno, NV salary details

$30.9K

$96.9K

$171.5K

How much do manager data engineering jobs pay per year?

As of Sep 1, 2026, the average yearly pay for manager data engineering in Reno, NV is $96,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $125,100.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

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

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

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 Manager Data Engineering jobs in Reno, NV?

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

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

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

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Reno, NV as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $96,860 per year, or $46.6 per hour.

Data Engineering Manager

Mccarran, NV

Redwood Materials
Clean Energy Equipment Manufacturing • 501 - 1,000 employees

7.6

Company rating: 7.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

23rd of 91 rated recycling and waste

People enjoy working here

Good employer

Respectful managers

Learn more about Redwood Materialsexternal

Full-time

Re-posted 15 days ago

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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