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Engineer Helper Jobs in Reston, VA (NOW HIRING)

Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work You'll Do As a Project - Data Management Engineer II on ...

GENERAL ENGINEER

Washington, DC · On-site +1

$143K - $197K/yr

Learn more about this agency Duties Help * You will be the Senior Engineer for In-Service Submarine Electrical and Sensor Systems. * You will lead and provide technical oversight of sustainment ...

Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work You'll Do As a Data Management Engineer III on the project ...

... Help transform the way GEOINT mission systems use technology, including cloud migration ... Mentor the next set of developers to help them grow into tomorrow's solutions architects ...

Platform Engineer Opportunity At Meibel Meibel is the platform to build, run & scale generative AI ... At Meibel, we help organizations move from AI experimentation to AI in production -- responsibly ...

We're now hiring a Forward Deployed Engineer to help accelerate adoption of Arbi in both federal & commercial space to help us dominate one of the largest and fastest-expanding categories in modern ...

DevOps Engineer

Reston, VA · On-site

$55 - $75.25/hr

You will help guide the development and implementation of robust DevOps strategies, practices and tools. This will require hands on experience with Infrastructure as Code tools Ansible or Teraform ...

Engineer

Washington, DC

$100K - $135K/yr

Demonstrate technical leadership by mentoring engineers, establishing best practices, and helping maintain quality standards across the engineering department. * The role will at times include night ...

Engineer

Washington, DC · On-site

$100K - $135K/yr

Demonstrate technical leadership by mentoring engineers, establishing best practices, and helping maintain quality standards across the engineering department. * The role will at times include night ...

DevOps Engineer

Reston, VA · On-site

$55 - $75.25/hr

You will help guide the development and implementation of robust DevOps strategies, practices and tools. This will require hands on experience with Infrastructure as Code tools Ansible or Teraform ...

Engineer (DER Interconnection) Electric Utilities About PowerRise PowerRise is a premier provider ... Support the evaluation of DER applications against technical interconnection requirements to help ...

We are seeking smart, experienced engineers to help deploy groundbreaking technical solutions that address our customers' most challenging problems. Our work supports critical missions--detecting ...

DevOps Engineer II

Fairfax, VA · On-site

$54 - $74/hr

... Engineer to support the development, deployment, automation, and maintenance of software ... • Help troubleshoot failed builds, pipeline errors, and environment issues. • Write and ...

You will drive innovation at multiple levels, helping optimize business outcomes while driving ... Distinguished Engineers are expected to lead through technical contribution. You will operate as a ...

As part of HDR's Building Engineering Services Group, you'll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From ...

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Engineer Helper information

See Reston, VA salary details

$10

$17

$23

How much do engineer helper jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for engineer helper in Reston, VA is $17.10, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $18.27 per hour, depending on experience, location, and employer.

How does an Engineer Helper typically collaborate with engineers and other team members on a project?

Engineer Helpers work closely with engineers by assisting with tasks such as setting up equipment, preparing materials, and performing routine maintenance or troubleshooting under supervision. They are often responsible for ensuring that workspaces are organized and that all tools are ready for use, which helps engineers focus on more complex technical aspects of a project. Collaboration also involves clear communication with both engineers and other support staff to ensure project timelines and safety protocols are followed. This hands-on teamwork provides valuable learning opportunities and insight into engineering processes, making it a great entry point for those interested in advancing within the field.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and often in leadership or executive roles. High compensation may also include bonuses, stock options, or profit sharing, particularly in large corporations or high-demand industries.

What job makes $10,000 a month without a degree?

Some high-paying roles for engineer helpers or similar positions can reach $10,000 per month, especially in specialized fields like construction management, industrial maintenance, or technical trades with experience and certifications. These jobs often require technical skills, on-the-job training, or apprenticeships rather than formal degrees, and income varies based on location, industry, and experience.

What is the difference between Engineer Helper vs Technician?

AspectEngineer HelperTechnician
Required CredentialsHigh school diploma or equivalent; on-the-job trainingPost-secondary education or technical certification
Work EnvironmentConstruction sites, industrial plants, engineering projectsLaboratories, field sites, manufacturing facilities
Employer & Industry UsageEngineering firms, construction companies, industrial sectorsManufacturing, maintenance, technical services
Common Search & Comparison IntentUnderstanding entry-level roles assisting engineersTechnical support roles requiring specialized training

Engineer Helpers typically assist engineers with basic tasks and require minimal formal education, often gaining experience on the job. Technicians usually have technical certifications or post-secondary education, performing more specialized technical duties. Both roles are essential in engineering and industrial settings, but technicians generally have a higher level of technical training and responsibility.

What engineers make $500,000?

Senior engineers in fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills, and working in high-paying industries or leadership roles.

Can you make $500,000 as an electrical engineer?

Electrical engineers typically earn salaries well below $500,000 annually, with top earners in specialized fields, management, or with extensive experience potentially reaching high six-figure incomes. Achieving a $500,000 salary usually requires advanced skills, certifications, leadership roles, or working in high-paying industries such as energy or technology. The engineer helper role generally offers lower compensation and is an entry-level position.

What are Engineer Helpers?

Engineer Helpers assist engineers by performing tasks such as preparing materials, operating tools, and helping with the installation, maintenance, or repair of equipment. They support engineering projects by gathering data, organizing supplies, and ensuring that work areas are safe and efficient. Their role is essential for the smooth execution of engineering tasks, and they often work under the direct supervision of engineers or senior technicians.

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

To thrive as an Engineer Helper, you need a basic understanding of engineering principles, strong mechanical aptitude, and a high school diploma or equivalent. Familiarity with hand and power tools, blueprint reading, and safety protocols is typically required, with OSHA certification often preferred. Strong teamwork, communication, and reliability help you stand out in assisting engineers and following instructions accurately. These skills and qualities are important to ensure safe, efficient support for engineering projects and contribute to successful project outcomes.
What are the most commonly searched types of Engineer jobs in Reston, VA? The most popular types of Engineer jobs in Reston, VA are:
What are popular job titles related to Engineer Helper jobs in Reston, VA? For Engineer Helper jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Engineer Helper jobs in Reston, VA look for? The top searched job categories for Engineer Helper jobs in Reston, VA are:
What cities near Reston, VA are hiring for Engineer Helper jobs? Cities near Reston, VA with the most Engineer Helper job openings:
Infographic showing various Engineer Helper job openings in Reston, VA as of June 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $35,570 per year, or $17.1 per hour.
GenAI Engineer

Other

Posted 15 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

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 Project - Data Management Engineer II on the project, you will:

  • Collaborate with data architects to integrate sources with AI models via AWS Bedrock and other providers (e.g., OpenAI, Cohere, Gemini).
  • Evaluate/select Foundational Models (FMs) and develop/training GenAI enhancements.
  • Implement RAG architectures by linking retrieval to generative models on cloud platforms.
  • Perform data analysis/feature engineering using AWS services.
  • Design, implement, and improve model guardrails and performance.
  • Deliver mission-aligned chatbots, knowledge bases, MCPs, and agentic workflows.
  • Identify reusable components, opportunities for automation, and platform unification.
  • Develop APIs and interfaces for secure, responsive, user-friendly applications.
  • Support platform tenants with troubleshooting/design of GenAI components.
  • Conduct code reviews, uphold code quality, and comply with Responsible AI requirements/documentation.
  • Develop and optimize prompts for LLM applications ensuring quality and relevance.
  • Strategize prompt use (zero/few/one-shot, role, chain-of-thought) for targeted cases.
  • Work with engineers to incorporate advanced prompt practices into system design.
  • Continuously improve prompts using new trends/data for optimal model performance.
  • Address ethical use and mitigate bias in prompt generation.
  • Set up robust benchmarking and evaluation for prompt engineering techniques.
  • Stay up to date on AI and prompt engineering advances to ensure cutting-edge 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

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.

The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project-focused professionals.

 

Qualifications

Required

  • Bachelor's degree 
  • Active High Risk Public Trust or Top Secret security clearance required
  • 1+ year of experience in GenAI solutioning or development
  • 1+ year of experience in GenAI concepts such as Agentic Workflows, Knowledge Bases, Vector Stores, Prompt Libraries, or similar
  • 1+ year of experience using Python for data cleaning, exploratory analysis, statistics, or visualization.
  • 1+ year of experience in object-oriented programming such as C++, Java, or Python
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future 

Preferred: 

  • Experience with Git, CI/CD, and programmatic cloud service integration (e.g., AWS).
  • Knowledge of machine learning/statistical techniques for structured and unstructured data.
  • Experience extracting features from diverse data formats (JSON, XML, raw text, specific industry encodings, graph data).
  • Familiarity or experience with Python libraries/pkgs such as pandas, NumPy, GeoPandas, requests, urllib3, Matplotlib, plotly, scikit-learn, sciPy, OpenCV, GDAL, Keras, PyTorch, TensorFlow, NLTK, spaCy, and Gensim.
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 Project - Data Management Engineer II on the project, you will:

  • Collaborate with data architects to integrate sources with AI models via AWS Bedrock and other providers (e.g., OpenAI, Cohere, Gemini).
  • Evaluate/select Foundational Models (FMs) and develop/training GenAI enhancements.
  • Implement RAG architectures by linking retrieval to generative models on cloud platforms.
  • Perform data analysis/feature engineering using AWS services.
  • Design, implement, and improve model guardrails and performance.
  • Deliver mission-aligned chatbots, knowledge bases, MCPs, and agentic workflows.
  • Identify reusable components, opportunities for automation, and platform unification.
  • Develop APIs and interfaces for secure, responsive, user-friendly applications.
  • Support platform tenants with troubleshooting/design of GenAI components.
  • Conduct code reviews, uphold code quality, and comply with Responsible AI requirements/documentation.
  • Develop and optimize prompts for LLM applications ensuring quality and relevance.
  • Strategize prompt use (zero/few/one-shot, role, chain-of-thought) for targeted cases.
  • Work with engineers to incorporate advanced prompt practices into system design.
  • Continuously improve prompts using new trends/data for optimal model performance.
  • Address ethical use and mitigate bias in prompt generation.
  • Set up robust benchmarking and evaluation for prompt engineering techniques.
  • Stay up to date on AI and prompt engineering advances to ensure cutting-edge 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

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.

The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project-focused professionals.

 

Qualifications

Required

  • Bachelor's degree 
  • Active High Risk Public Trust or Top Secret security clearance required
  • 1+ year of experience in GenAI solutioning or development
  • 1+ year of experience in GenAI concepts such as Agentic Workflows, Knowledge Bases, Vector Stores, Prompt Libraries, or similar
  • 1+ year of experience using Python for data cleaning, exploratory analysis, statistics, or visualization.
  • 1+ year of experience in object-oriented programming such as C++, Java, or Python
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future 

Preferred: 

  • Experience with Git, CI/CD, and programmatic cloud service integration (e.g., AWS).
  • Knowledge of machine learning/statistical techniques for structured and unstructured data.
  • Experience extracting features from diverse data formats (JSON, XML, raw text, specific industry encodings, graph data).
  • Familiarity or experience with Python libraries/pkgs such as pandas, NumPy, GeoPandas, requests, urllib3, Matplotlib, plotly, scikit-learn, sciPy, OpenCV, GDAL, Keras, PyTorch, TensorFlow, NLTK, spaCy, and Gensim.
Education:Bachelor's DegreeEmployment Type:

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