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Engineering Manager Jobs in Reno, NV (NOW HIRING)

Manufacturing Engineer Manager

Reno, NV · On-site

$115K - $125K/yr

Manufacturing Engineering Manager We are seeking a dynamic Manufacturing Engineering Manager to join our Team in Reno, NV. This role involves planning, scheduling, coordinating resources, and ...

Responsibilities Manager, Materials Engineering (by clicking this link you are being referred to an external site that is not part of Panasonic) Meet the Recruiter: Princess Damato Job Summary:

As an Engineering Manager for UI Framework at Ridgeline, you'll lead the team responsible for the foundation of Ridgeline's UI platform, creating leverage for product engineers to quickly build high ...

New

Responsibilities Engineering Supervisor (by clicking this link you are being referred to an ... Having excellent time and project management skills, including effectively allocating time and ...

Responsibilities Engineering Supervisor (by clicking this link you are being referred to an ... Having excellent time and project management skills, including effectively allocating time and ...

Partner with the program management team to plan resources and align on milestones, dependencies, and deliverables across the broader engineering organization. * Collaborate closely with EE design ...

Showing results 21-40

Engineering Manager information

See Reno, NV salary details

$46.4K

$146.4K

$173.5K

How much do engineering manager jobs pay per year?

As of Sep 9, 2026, the average yearly pay for engineering manager in Reno, NV is $146,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $172,500.00 per year, depending on experience, location, and employer.

What is an engineering manager?

Engineering Managers are professionals responsible for leading and overseeing engineering teams within an organization. They coordinate projects, manage team members, allocate resources, and ensure that engineering goals align with company objectives. Their role often involves a combination of technical expertise, leadership, and administrative skills to deliver successful engineering solutions on time and within budget.

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

To thrive as an Engineering Manager, you need a strong background in engineering principles, project management, and leadership, typically with a degree in engineering and prior technical experience. Familiarity with project management tools (such as Jira or Asana), version control systems (like Git), and potentially certifications such as PMP or Scrum Master are highly beneficial. Exceptional communication, conflict resolution, and team-building skills distinguish top performers in this role. These abilities are crucial for successfully leading technical teams, delivering projects on time, and aligning engineering output with organizational goals.

How does an engineering manager typically balance technical leadership with people management responsibilities?

Engineering Managers are often required to split their time between technical oversight—such as code reviews, architecture decisions, and project planning—and people management tasks like mentoring, performance reviews, and team development. Striking this balance can be challenging, especially in fast-paced environments. Successful Engineering Managers usually prioritize regular one-on-ones, foster open communication, and delegate technical tasks wisely to ensure both project goals and team morale are maintained. This dual focus helps nurture a high-performing, collaborative team while ensuring technical excellence.

What is the difference between Engineering Manager vs Software Development Manager?

AspectEngineering ManagerSoftware Development Manager
Primary FocusOversees engineering teams, technical projects, and product developmentManages software development teams, project timelines, and coding processes
Required CredentialsBachelor's or master's in engineering, computer science, or related field; technical expertiseBachelor's or master's in computer science, software engineering, or related field; strong coding background
Work EnvironmentEngineering departments, cross-disciplinary teams, technical environmentsSoftware development teams, Agile/Scrum environments, coding-focused settings
Industry UsageCommon in tech, manufacturing, and engineering firmsPrimarily in tech companies, software firms, and IT services

While both roles involve managing technical teams, Engineering Managers typically oversee broader engineering projects and cross-disciplinary teams, whereas Software Development Managers focus specifically on software projects and coding teams. Understanding these distinctions helps in choosing the right career path or job search focus.

Are engineering managers paid well?

Engineering managers typically earn high salaries due to their leadership responsibilities, technical expertise, and experience level. Compensation varies by industry, location, and company size but generally includes base pay, bonuses, and stock options, reflecting the seniority of the role.

What do you do as an engineering manager?

An engineering manager oversees engineering teams, coordinates project planning, and ensures technical goals are met. They manage resources, facilitate communication between teams and stakeholders, and often have technical expertise to guide development processes. Leadership, problem-solving, and knowledge of engineering tools are essential skills in this role.

What are the most commonly searched types of Engineering jobs in Reno, NV?

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

What are popular job titles related to Engineering Manager jobs in Reno, NV?

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

What cities near Reno, NV are hiring for Engineering Manager jobs?

Cities near Reno, NV with the most Engineering Manager job openings:

Infographic showing various Engineering Manager job openings in Reno, NV as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $146,437 per year, or $70.4 per hour.

Data Engineering Manager

Reno, NV • On-site

Tahoe Forest Health System
Health Care and Social Assistance • 501 - 1,000 employees

$128K/yr

Full-time

Posted 7 days ago


Job description

Bargaining Unit: Non Represented - Manager
Rate of Pay: $128,731 annually + DOE
Summary
The Manager of Data and Engineering lead the technical development, reliability, architecture, and governance of the health system's enterprise data environment. This role oversees enterprise data platforms, integrations, data pipelines, data models, and technical infrastructure supporting reporting, analytics, financial planning, and organizational decision-making. The position partners closely with Information Technology, Business Intelligence, Finance, clinical, and operational teams to ensure enterprise data is reliable, secure, scalable, well-governed, and available for organizational use.
Essential Duties and Responsibilities
Data Architecture & Enterprise Platforms
  • Own the architecture, development, and technical administration of the enterprise data warehouse, lake house, and related analytical data platforms.
  • Establish scalable data architecture and modeling standards supporting enterprise reporting, analytics, financial planning, and decision support.
  • Lead development and maintenance of enterprise data models, data marts, reusable data structures, and shared analytical datasets.
  • Evaluate and recommend improvements to enterprise data architecture, platforms, tools, and technical capabilities.
  • Reduce redundant data structures, unsupported solutions, unnecessary data movement, and technical debt.

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, Axiom, Premier, payroll, financial, workforce, clinical, operational, and other enterprise systems.
  • Establish standards for data ingestion, transformation, reconciliation, validation, and integration.
  • Ensure data pipelines and integrations are reliable, efficient, maintainable, and appropriately monitored.
  • Troubleshoot complex data integration, performance, availability, and processing issues.

Analytics & Business Intelligence Technical Enablement
  • Provide the technical data foundation supporting enterprise Business Intelligence, Finance, operational analytics, and organizational reporting.
  • Partner with Business Intelligence on shared datasets, semantic-model architecture, gateways, refresh processes, deployments, and reporting performance.
  • Support technical requirements for budgeting, forecasting, cost accounting, productivity reporting, management reporting, service-line analysis, and other analytical functions.
  • Develop reusable data assets that enable standardized reporting and governed self service analytics.
  • Ensure analytical platforms and technical solutions can scale with organizational reporting and data needs.

Data Governance, Reliability & Technical Standards
  • Ensure data availability, platform reliability, data lineage, technical documentation, and appropriate monitoring of enterprise data environments.
  • Establish development, testing, source-control, deployment, release-management, and change management standards.
  • Establish technical data-quality controls and processes for identifying and resolving data issues.
  • Maintain documentation of data architecture, integrations, pipelines, models, business rules, dependencies, and technical processes.
  • Partner with Information Technology on information security, infrastructure, access management, backup, business continuity, and disaster recovery.
  • Support compliance with organizational data-governance, security, privacy, and technology standards.

Leadership & Operational Partnerships
  • Supervise, develop, and prioritize the work of assigned data engineering, developer, and technical staff.
  • Build technical capabilities through coaching, mentoring, documentation, cross-training, and professional development.
  • Establish technical priorities based on organizational strategy, business requirements, system dependencies, and available resources.
  • Partner with Business Intelligence to ensure business requirements are translated into sustainable technical solutions.
  • Partner with FP&A to support financial planning, cost accounting, productivity, and management-reporting data requirements.
  • Partner with Information Technology and application teams regarding infrastructure, source systems, security, integrations, and technical architecture.
  • Communicate technical risks, dependencies, resource requirements, and recommendations to leadership.

Demonstrates System Values in performance and behavior.
Complies with System policies and procedures.
Other duties as may be assigned.
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Supervisory Responsibilities
Carries out supervisory responsibility in accordance with the organization's policies and applicable laws. Responsibilities include interviewing, hiring, training, assigning, coaching, counseling, and disciplining employees; administering scheduling systems; communicating job expectations; planning, monitoring, appraising, and reviewing job contributions; enforcing policies and procedures.
Minimum Education/Experience
Bachelor's Degree computer science, information systems, data engineering, or a related field and 5 or more years relevant experience
Required Licenses/Certifications
None
Other Experience/Qualifications
Required:
  • Bachelor's degree in computer science, information systems, data engineering, or a related field
  • Five years of experience in data engineering, database development, data warehousing, or business intelligence.
  • Previous supervisory, technical-lead, or project-lead experience.
  • Advanced knowledge of SQL, ETL/ELT, data modeling, and enterprise reporting platforms.

Preferred:
  • Experience working with healthcare data.
  • Experience with Epic Clarity, Caboodle, Power BI, Microsoft Fabric, Azure, Axiom, or Premier.
  • Master's degree or relevant technical certification.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.