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Engineering Management Jobs in Virginia (NOW HIRING)

Engineering Manager

Arlington, VA · On-site

$193 - $248/hr

Engineering Manager Arlington, VA Are you ready to enhance your skills and build your career in a ... The role requires strong program execution discipline, risk management expertise, and the ability ...

Coordinate engineering change management activities and ensure proper documentation of project ... decisions and technical baselines. * Support Agile project execution methodologies, sprint planning ...

Overview Engineering Manager Arlington, VA Are you ready to enhance your skills and build your ... The role requires strong program execution discipline, risk management expertise, and the ability ...

Aerospace Engineering Manager Location: Newport News, VA Job Type: Direct Hire Starting Salary ... Strong project management, planning, organizational, and team leadership skills. * Ability to ...

Aerospace Engineering Manager Location: Newport News, VA Job Type: Direct Hire Starting Salary ... Strong project management, planning, organizational, and team leadership skills. * Ability to ...

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Aerospace Engineering Manager Location: Newport News, VA Job Type: Direct Hire Starting Salary ... Strong project management, planning, organizational, and team leadership skills. * Ability to ...

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Showing results 1-20

Engineering Management information

See Virginia salary details

$46.1K

$145.6K

$172.5K

How much do engineering management jobs pay per year?

As of Aug 20, 2026, the average yearly pay for engineering management in Virginia is $145,608.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $171,500.00 per year, depending on experience, location, and employer.

What is engineering management?

Engineering management is a specialized field that combines the technical expertise of engineering with the organizational, administrative, and planning abilities of management. Engineering managers oversee teams of engineers and projects, ensuring that technical solutions are delivered on time, within budget, and to the required standards. They bridge the gap between engineering and business, making decisions about project direction, resource allocation, and process improvements while also mentoring and guiding engineering staff. This role typically requires both engineering experience and strong leadership skills.

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

To thrive as an Engineering Manager, you need a solid background in engineering principles, leadership experience, and often a degree in engineering or a related field. Familiarity with project management tools (like Jira or Asana), software development methodologies, and sometimes certifications such as PMP or Agile Scrum Master are typically used in the role. Strong communication, problem-solving, and team-building abilities help you motivate teams and bridge technical and business goals. These skills are crucial for delivering high-quality projects, fostering innovation, and ensuring alignment between engineering teams and organizational objectives.

What are some common challenges faced by engineering managers when balancing technical leadership and people management responsibilities?

Engineering managers often navigate the dual responsibilities of providing technical guidance while also supporting and developing their teams. A common challenge is allocating time between strategic planning, mentoring engineers, resolving interpersonal issues, and staying up-to-date with technology trends. Effective engineering managers build trust with their team, delegate technical tasks appropriately, and set clear priorities to balance both people management and technical oversight. Regular communication and leveraging feedback are key to successfully managing these demands.

What is the difference between Engineering Management vs Mechanical Engineering?

AspectEngineering ManagementMechanical Engineering
Required CredentialsBachelor's or Master's in Engineering, Business, or Management; often an MBABachelor's or Master's in Mechanical Engineering; PE license optional
Work EnvironmentLeadership roles, project oversight, team coordinationDesign, analysis, research, manufacturing
Industry UsageProject management, operations, product developmentProduct design, testing, manufacturing, R&D

Engineering Management focuses on leading engineering teams, managing projects, and aligning technical work with business goals. Mechanical Engineering involves designing and analyzing mechanical systems. While both roles require engineering backgrounds, Engineering Management emphasizes leadership and organizational skills, whereas Mechanical Engineering centers on technical expertise in mechanical systems.

Is a degree in engineering management worth it?

A degree in engineering management can be valuable for those seeking leadership roles in engineering or technical projects, as it combines technical knowledge with management skills. It often enhances job prospects, salary potential, and opportunities for advancement, especially when complemented by experience and certifications like PMP. However, practical experience and skills are also critical in this field.

What do you do in engineering management?

Engineering management involves overseeing engineering teams, coordinating projects, and ensuring technical goals are met. It includes tasks such as planning, budgeting, resource allocation, and collaborating with other departments. Strong leadership, communication skills, and knowledge of engineering principles are essential in this role.

What are the most commonly searched types of Engineering Management jobs in Virginia?

The most popular types of Engineering Management jobs in Virginia are:

What cities in Virginia are hiring for Engineering Management jobs?

Cities in Virginia with the most Engineering Management job openings:

Infographic showing various Engineering Management job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $145,608 per year, or $70 per hour.

Palantir Engineering Management Specialist

Deloitte

Rosslyn, VA • On-site

Full-time

Posted 23 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 151 rated financial services


Job description

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Senior Engineering Management Specialist on the AI & Data team, you will be responsible for...

  • Supporting the development and configuration of Palantir Foundry capabilities to profile legacy enterprise resource planning data and assess data quality for SAP S/4HANA migration readiness
  • Identifying, analyzing, and documenting data quality issues, including completeness, consistency, validity, and duplication, to support data cleansing efforts
  • Developing and maintaining data mapping logic to transform legacy data structures into target SAP S/4HANA-compatible formats
  • Assisting in the design and execution of data conversion workflows to support accurate and traceable movement of data from legacy systems into the enterprise resource planning upgrade environment
  • Collaborating with functional, technical, and business stakeholders to validate source-to-target mappings, transformation rules, and migration assumptions
  • Troubleshooting data issues during profiling, cleansing, and conversion activities and supporting remediation efforts to improve migration accuracy and data integrity

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 build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required

  • Bachelor's degree in computer science, engineering, information systems, data science, mathematics, business analytics, or a comparable quantitative field
  • 6+ years of experience supporting enterprise data migration, data conversion, or enterprise resource planning transformation activities
  • 3+ years of experience profiling, cleansing, mapping, or transforming legacy data for system implementation or modernization efforts
  • 1 + years of experience using Palantir Foundry, SAP S/4HANA, or comparable enterprise data transformation platforms
  • Ability to travel 10-25%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Active Secret security clearance required

Preferred: 

  • Experience validating source-to-target mappings, transformation logic, or migration assumptions across technical and business stakeholders.\
  • Experience supporting enterprise resource planning modernization or SAP migration programs
  • Experience troubleshooting data quality, profiling, cleansing, or conversion issues in large-scale transformation efforts
  • Experience with SQL, Python, or other tools used for data analysis, transformation, or validation

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 $124,700 to $207,800.

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.

Qualifications:

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Senior Engineering Management Specialist on the AI & Data team, you will be responsible for...

  • Supporting the development and configuration of Palantir Foundry capabilities to profile legacy enterprise resource planning data and assess data quality for SAP S/4HANA migration readiness
  • Identifying, analyzing, and documenting data quality issues, including completeness, consistency, validity, and duplication, to support data cleansing efforts
  • Developing and maintaining data mapping logic to transform legacy data structures into target SAP S/4HANA-compatible formats
  • Assisting in the design and execution of data conversion workflows to support accurate and traceable movement of data from legacy systems into the enterprise resource planning upgrade environment
  • Collaborating with functional, technical, and business stakeholders to validate source-to-target mappings, transformation rules, and migration assumptions
  • Troubleshooting data issues during profiling, cleansing, and conversion activities and supporting remediation efforts to improve migration accuracy and data integrity

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 build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required

  • Bachelor's degree in computer science, engineering, information systems, data science, mathematics, business analytics, or a comparable quantitative field
  • 6+ years of experience supporting enterprise data migration, data conversion, or enterprise resource planning transformation activities
  • 3+ years of experience profiling, cleansing, mapping, or transforming legacy data for system implementation or modernization efforts
  • 1 + years of experience using Palantir Foundry, SAP S/4HANA, or comparable enterprise data transformation platforms
  • Ability to travel 10-25%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Active Secret security clearance required

Preferred: 

  • Experience validating source-to-target mappings, transformation logic, or migration assumptions across technical and business stakeholders.\
  • Experience supporting enterprise resource planning modernization or SAP migration programs
  • Experience troubleshooting data quality, profiling, cleansing, or conversion issues in large-scale transformation efforts
  • Experience with SQL, Python, or other tools used for data analysis, transformation, or validation

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 $124,700 to $207,800.

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.

Education:Bachelor's DegreeEmployment Type:

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