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Engineering Manager Jobs in Springfield, MA (NOW HIRING)

WSP

Lead Traffic Engineering Manager

Glastonbury, CT · On-site

The Traffic Engineering Project Manager will bring leadership skills to help grow our business, oversee project delivery and staff development, and provide technical assistance and guidance in ...

Pwc

US Tech - AI Engineering Manager

Hartford, CT

$73K - $244K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques ...

Trinity Health

THCE Clinical Engineering Manager

Hartford, CT · On-site

$100K - $130K/yr

... management of the RHM's clinical engineering program and ensures program service support objectives are met. Provides a work environment that fosters positive energy, creativity, and teamwork among ...

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All JobsEngineering JobsEngineering Manager JobsEngineering Manager Jobs in Springfield, MA

Engineering Manager information

See Springfield, MA salary details

$46.5K

$146.7K

$173.8K

How much do engineering manager jobs pay per year?

As of Jul 22, 2026, the average yearly pay for engineering manager in Springfield, MA is $146,742.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $172,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Engineering Manager, and why are they important?

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.

What engineers make $300,000 a year?

Senior software engineers, engineering managers, and specialized roles such as principal engineers or staff engineers often earn $300,000 or more annually, especially in high-cost-of-living areas or large tech companies. These roles typically require extensive experience, advanced technical skills, and leadership responsibilities, often involving expertise in cloud computing, system architecture, or machine learning.

What engineer makes $500,000 a year?

Senior engineering roles such as Principal Engineer, Staff Engineer, or Engineering Director can reach or exceed a $500,000 annual salary, especially in high-demand industries like technology, finance, or specialized fields. These positions typically require extensive experience, advanced technical skills, and often involve leadership responsibilities or equity compensation.

What are Engineering Managers?

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 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.

What engineers make $200,000 a year?

Senior software engineers, engineering managers, and specialized roles such as data engineers or cloud architects often earn $200,000 or more annually, especially with experience, advanced skills, and working in high-demand industries or companies. Compensation can include base salary, bonuses, and stock options, particularly in technology and finance sectors.

What Is an Engineering Manager?

Engineering managers supervise teams of engineers and other professionals whose jobs are to collaborate on designing and developing products ranging from medical equipment to computer hardware to electrical components. Your job duties are to coordinate with teams and departments, help engineers troubleshoot and problem-solve, and make sure everyone stays on schedule to meet design and production deadlines. You need strong project management skills, extensive engineering knowledge, and excellent communication and leadership skills to succeed as an engineering manager.

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 do you do as an engineering manager?

An engineering manager oversees engineering teams, manages project timelines, allocates resources, and ensures technical goals are met. They coordinate between team members, stakeholders, and other departments, often using project management tools and technical expertise to deliver products efficiently.
More about Engineering Manager jobs
What are the most commonly searched types of Engineering jobs in Springfield, MA? The most popular types of Engineering jobs in Springfield, MA are:
What job categories do people searching Engineering Manager jobs in Springfield, MA look for? The top searched job categories for Engineering Manager jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Engineering Manager jobs? Cities near Springfield, MA with the most Engineering Manager job openings:
Engineering Manager jobs near you
Infographic showing various Engineering Manager job openings in Springfield, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $146,742 per year, or $70.5 per hour.
Cyber Identity - FDE Engineering Manager

Cyber Identity - FDE Engineering Manager

Deloitte

Hartford, CT • On-site

Other

Posted 12 hours ago

Job description

As an Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike. 

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering Manager on the Digital Trust & Privacy team, you will be responsible for:

  • Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
  • Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
  • Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
  • Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
  • Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
  • 7+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
  • 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
  • 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
  • 2+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
  • 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

     Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)

     Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).

     Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.

     Kubernetes, GitOps, and advanced cloud-native delivery patterns.

     Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).

     Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.

     Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberDTP27

Qualifications:

As an Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike. 

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering Manager on the Digital Trust & Privacy team, you will be responsible for:

  • Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
  • Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
  • Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
  • Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
  • Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
  • 7+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
  • 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
  • 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
  • 2+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
  • 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

     Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)

     Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).

     Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.

     Kubernetes, GitOps, and advanced cloud-native delivery patterns.

     Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).

     Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.

     Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberDTP27

Education:Bachelor's DegreeEmployment Type:

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