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Lean Engineering Jobs in Virginia (NOW HIRING)

Manager, SRE Engineer - PxE ERM

Arlington, VA · On-site

$65.50 - $87.25/hr

Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right solution for the product in the ...

Manager, SRE Engineer - PxE ERM

Richmond, VA · On-site

$56.50 - $75/hr

Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right solution for the product in the ...

Manager, SRE Engineer - PxE ERM

Mclean, VA · On-site

$57.50 - $76.50/hr

Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right solution for the product in the ...

Manager, SRE Engineer - PxE ERM

Rosslyn, VA

$65 - $86.25/hr

Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right solution for the product in the ...

Lead Architect

Richmond, VA

$54.75 - $75/hr

Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right architectural solution for the ...

Lead Architect

Rosslyn, VA

$63 - $86.25/hr

Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right architectural solution for the ...

Lead Architect

Arlington, VA · On-site

$63.50 - $87.25/hr

Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right architectural solution for the ...

As we transition from a lean engineering-heavy team to a global powerhouse, we need a Chief Operating Officer to build the engine that powers our growth. You won't just be managing-you will be ...

You have a Bachelor's / Master's or MBA degree in Engineering, Quality Management, or related field ... Strong knowledge of Quality Operations, QMS, IMS, Lean, Six Sigma and regulatory compliance * Good ...

You have a Bachelor's / Master's or MBA degree in Engineering, Quality Management, or related field ... Strong knowledge of Quality Operations, QMS, IMS, Lean, Six Sigma and regulatory compliance * Good ...

Lean Portfolio Management Lead Category: Project Management Main location: United States, Virginia ... Ability to connect engineering realities with portfolio strategy . Strong executive influence and ...

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Showing results 1-20

Lean Engineering information

See Virginia salary details

$12

$31

$56

How much do lean engineering jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for lean engineering in Virginia is $31.28, according to ZipRecruiter salary data. Most workers in this role earn between $20.00 and $37.64 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Lean Engineer, and why are they important?

To thrive as a Lean Engineer, a strong background in industrial engineering, process improvement, and Lean manufacturing principles is essential, often supported by a relevant bachelor's degree. Familiarity with tools like Six Sigma, Kaizen, value stream mapping, and Lean certification (such as Lean Six Sigma Green Belt) is typically required. Excellent problem-solving skills, effective communication, and the ability to lead cross-functional teams stand out as vital soft skills. These competencies drive operational efficiency, cost savings, and continuous improvement within manufacturing or production environments.

What is Lean Engineering?

Lean Engineering is an approach to engineering that focuses on maximizing value while minimizing waste throughout the design, development, and manufacturing processes. It applies Lean principles—originally developed in manufacturing—to engineering workflows, aiming to improve efficiency, reduce costs, and enhance product quality. Lean Engineering encourages continuous improvement, collaboration, and the elimination of non-value-added activities. This methodology is widely used in industries such as automotive, aerospace, and technology to streamline product development and accelerate time-to-market.

How does a Lean Engineer typically collaborate with cross-functional teams to implement process improvements?

Lean Engineers work closely with cross-functional teams—including production, quality, supply chain, and management—to identify inefficiencies and implement process enhancements. They facilitate workshops such as Kaizen events, gather input from team members at all levels, and use data-driven approaches to develop sustainable solutions. Effective communication and stakeholder engagement are crucial, as Lean Engineers must ensure that changes are practical and embraced by all involved. This collaborative environment not only fosters innovation but also accelerates the adoption of best practices across the organization.

What is the difference between Lean Engineering vs Mechanical Engineer?

AspectLean EngineeringMechanical Engineer
Required CredentialsTypically requires a degree in engineering, certifications in Lean or Six SigmaBachelor's or master's in mechanical engineering, professional licensure often preferred
Work EnvironmentManufacturing, process improvement, product developmentDesign, testing, manufacturing, and maintenance of mechanical systems
Industry UsageManufacturing, automotive, aerospace, process industriesAutomotive, aerospace, robotics, energy sectors

Lean Engineering focuses on optimizing processes and reducing waste through methodologies like Lean and Six Sigma, often working across various manufacturing and process environments. Mechanical Engineers design and develop mechanical systems, focusing on product development, testing, and maintenance. While both roles require engineering credentials, Lean Engineering emphasizes process improvement skills, whereas Mechanical Engineering centers on mechanical design and analysis.

Infographic showing various Lean Engineering job openings in Virginia as of June 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $65,061 per year, or $31.3 per hour.
Lead Full Stack Engineer PxE Consulting

Lead Full Stack Engineer PxE Consulting

Deloitte

Richmond, VA • On-site

Other

Posted 25 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

As a Lead Full-stack Software Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions.

Recruiting for this role ends on August 28, 2026

Work you'll do

Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.

Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support.

Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Be hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.

Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.

Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.

Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.

Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning.

Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.

Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.

Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.

The 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

US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

Qualifications

Required:

  • A bachelor's degree in computer science, software engineering, or a related discipline. Experience is the most relevant factor.
  • 5+ years of experience with multiple programming languages such as NodeJS, Python, C#, .NET Core, Golang, SQL/NoSQL, React, as well as unit testing frameworks.
  • 5+ years of experience with cloud-native engineering, using FaaS, PaaS, and micro-services on cloud hyperscalers such as Azure, AWS (mandatory), or GCP.
  • 5+ years of hands-on experience with Amazon cloud-native services (e.g., MSK, SNS/SQS, Lambda, Step Functions, Glue, Aurora, RDS, DynamoDB, S3, Athena). 
  • 1+ years of experience with AI/ML and GenAI.
  • Ability to travel 10%, on average, based on the work you do and products you build.
  • Limited immigration sponsorship may be available.

Preferred:

  • Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations.
  • Prior experience using methodologies & tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high-quality products rapidly.

Wage Disclosure 

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 $102500 to $210600.
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.

EA_ExpHire 
Qualifications:

As a Lead Full-stack Software Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions.

Recruiting for this role ends on August 28, 2026

Work you'll do

Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.

Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support.

Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Be hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.

Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.

Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.

Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.

Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning.

Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.

Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.

Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.

The 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

US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

Qualifications

Required:

  • A bachelor's degree in computer science, software engineering, or a related discipline. Experience is the most relevant factor.
  • 5+ years of experience with multiple programming languages such as NodeJS, Python, C#, .NET Core, Golang, SQL/NoSQL, React, as well as unit testing frameworks.
  • 5+ years of experience with cloud-native engineering, using FaaS, PaaS, and micro-services on cloud hyperscalers such as Azure, AWS (mandatory), or GCP.
  • 5+ years of hands-on experience with Amazon cloud-native services (e.g., MSK, SNS/SQS, Lambda, Step Functions, Glue, Aurora, RDS, DynamoDB, S3, Athena). ...

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