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Clinical Engineer Jobs in Virginia (NOW HIRING)

Trimedx

Strategic Advisor-Clinical Assets

Norfolk, VA · On-site

$95K - $120K/yr

The Leader works closely with our Mobile Medical Equipment Teams, Centurion Service Group, Clinical Engineering Teams, to frame our solution's overall client value proposition and key performance ...

W3Global Inc.

Clinical Director BCBA

Richmond, VA · Hybrid

$120K - $150K/yr

Clinical Director BCBA Location: Richmond, VA Work Arrangement: Hybrid (Candidate must be based in ... programming. Staff Development: Mentor, supervise, and support BCBAs and RBTs while promoting ...

Kaiser Permanente

Clinical Audiologist

Woodbridge, VA · On-site

$51.43 - $67.11/hr

Programming and fitting implantable devices such as cochlear implants, bone anchored hearing aids (BAHAS) and similar devices AND/OR Fitting, programming, and troubleshooting hearing aids and ...

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All JobsClinical Engineer JobsClinical Engineer Jobs in Virginia

Clinical Engineer information

See Virginia salary details

$40.2K

$92.9K

$134.8K

How much do clinical engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for clinical engineer in Virginia is $92,896.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $108,600.00 per year, depending on experience, location, and employer.

What is a clinical engineer?

A clinical engineer collaborates with scientists to develop medical equipment and biomedical research advances. Testing and designing medical technology are their primary responsibilities. Your work may involve artificial tissues, such as joints, hearing implants, and heart valves; pharmaceuticals; medical instruments; or diagnostic equipment, like imaging machines and monitoring apparatus. Job duties include maintaining biomedical equipment and computer systems, overseeing teams of technicians, and leading research studies in biomedical technology.

What does a clinical engineer do?

A Clinical Engineer is a professional who applies engineering principles to the healthcare field, particularly in medical technology and equipment management within hospitals and clinics. Their main responsibilities include ensuring the safe and effective use of medical devices, maintaining and troubleshooting equipment, and providing technical support to medical staff. Clinical Engineers may also be involved in equipment procurement, regulatory compliance, and training users on new technologies. By bridging the gap between engineering and medicine, they help improve patient care and safety.

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

To thrive as a Clinical Engineer, you need a strong background in biomedical engineering, electronics, and healthcare technology, typically supported by a relevant degree and sometimes professional certification (e.g., CCE). Familiarity with medical device regulations, hospital equipment management systems, and quality assurance tools is essential. Excellent problem-solving, communication, and teamwork skills help Clinical Engineers collaborate with medical staff and address complex technical issues. These abilities are critical for ensuring the safety, compliance, and optimal performance of medical devices in healthcare environments.

How does a clinical engineer typically interact with clinical staff and medical device vendors in a healthcare setting?

Clinical Engineers play a pivotal role in bridging the gap between medical technology and clinical practice. They regularly collaborate with clinical staff to ensure that medical equipment is used safely and efficiently, providing training and addressing any technical concerns. Additionally, Clinical Engineers coordinate with device vendors for equipment maintenance, troubleshooting, and upgrades, often acting as the primary point of contact during installations or when evaluating new technologies. This collaborative environment requires strong communication skills and a proactive approach to problem-solving, making teamwork a central aspect of the role.

What is the difference between Clinical Engineer vs Biomedical Equipment Technician?

AspectClinical EngineerBiomedical Equipment Technician
CredentialsBachelor's degree in engineering or related field; certifications like CBET or CCEAssociate's or bachelor's degree; certifications like CBET or CRES
Work EnvironmentDesign, evaluate, and oversee medical equipment; collaborate with healthcare staffMaintain, repair, and calibrate medical devices on-site in healthcare facilities
Employer & IndustryHospitals, medical device companies, healthcare institutionsHospitals, clinics, biomedical service companies

Clinical Engineers focus on the design, evaluation, and management of medical equipment, often working on system integration and safety protocols. Biomedical Equipment Technicians primarily handle the maintenance, repair, and calibration of medical devices. Both roles are essential in healthcare settings, but Clinical Engineers typically have a broader scope involving engineering principles and system oversight, while Biomedical Equipment Technicians focus on hands-on equipment servicing.

More about Clinical Engineer jobs

What are the most commonly searched types of Clinical Engineer jobs in Virginia?

The most popular types of Clinical Engineer jobs in Virginia are:

What are popular job titles related to Clinical Engineer jobs in Virginia?

For Clinical Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Clinical Engineer jobs in Virginia look for?

The top searched job categories for Clinical Engineer jobs in Virginia are:

What cities in Virginia are hiring for Clinical Engineer jobs?

Cities in Virginia with the most Clinical Engineer job openings:

What are popular job titles related to Clinical Engineer jobs in VA?

For Clinical Engineer jobs in VA, the most frequently searched job titles are:

Clinical Engineer jobs near you
Infographic showing various Clinical Engineer job openings in Virginia as of August 2026, with employment types broken down into 2% As Needed, 74% Full Time, 18% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $92,896 per year, or $44.7 per hour.

Lead Data Engineer

American Society of Clinical Oncology (ASCO)

Alexandria, VA • On-site

$122K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Key responsibilities

  • Design, build, and optimize production-grade batch and streaming data pipelines in a multi-cloud ecosystem.

  • Build and operationalize AI capabilities including RAG, semantic search, vector databases, and multi-agent workflows.

  • Write production-grade Python code and microservices, and lead through code reviews and technical mentorship.

Job description

Are you interested in making a world of difference in cancer care?
Cancer strikes more than 10 million people worldwide each year. As the leading medical society representing doctors who care for people with cancer, the American Society of Clinical Oncology (ASCO) is committed to conquering cancer through research, education, and promotion of the highest quality care.
Who we are:
ASCO is a flexible, high-performance membership organization where employees collaborate to support our mission through evidence, care, and impact. Together with Conquer Cancer, the ASCO Foundation, we foster a culture that prioritizes customer-centricity, emphasizes teamwork, and commits to quality. Our culture, ASCO Works - Our Way of Working, has long enabled workplace flexibility and embraced technology to help us achieve balance. To learn what it's like to work at ASCO, click here.
Total Rewards:
At ASCO, we offer a competitive and comprehensive total rewards package. Our compensation philosophy and structure ensure that pay remains market-based, tied to performance, and aligned with our core values. The hiring salary range displayed accounts for a broad spectrum of factors, and the final offer will depend on an evaluation of the selected candidate's experience, training, and specialized skill sets.
In addition to base pay, this position is eligible for our robust total rewards package, which includes health, vision, and dental insurance, a 401(k) with generous contribution, health and wellness benefits, family forming benefits, education support program, generous leave, and much more!
Who we are looking for:
ASCO is in search of a high-performing Lead Data Engineer to play a vital role as a hands-on architect and engineer turning complex data into strategic business value. This role is responsible for actively writing code, building scalable data pipelines, pioneering responsible AI practices, and deploying production-grade solutions for AI/ML, BI, and operations. The position will solve data engineering challenges, elevate technical standards, and lead through code.
This position is hybrid with a primary location at our headquarters in Alexandria, VA. The hire must reside within 75 miles of our headquarters. We anticipate the hire to be onsite approximately 1-2 days per week.
Responsibilities
  • Architect & Deploy Scalable Data Pipelines/Products: Design, build, and optimize production-grade batch and streaming data pipelines in a multi-cloud (GCP, AWS, Azure) ecosystem to unify enterprise data assets into a high-performance AI, analytics, and operational foundation.
  • Simple to Complex Data Pipelines: Design, build, and optimize scalable batch and streaming data ingestion pipelines for both structured and unstructured data.
  • Trusted Context Foundation: Ensure all developed solutions meet high standards for security, quality, reliability, explainability, and maintainability.
  • Engineer Agentic AI & RAG Workflows: Build and operationalize modern AI capabilities-including RAG, semantic search, vector databases, and autonomous multi-agent workflows, grounded in clean enterprise context.
  • Establish MLOps & LLMOps Rigor: Build CI/CD, containerization, and observability frameworks to streamline LLM service integrations for fast, reliable, and cost-effective application delivery.
  • Write Production-Grade Code & APIs: Deliver clean, maintainable Python code and microservices that integrate data products directly into AI agents, business applications, and operational workflows.
  • Optimize Platform Cost & Performance: Continually refine database designs, storage tiers, and compute workloads to maximize query speed while actively optimizing cloud operating costs (OpEx).
  • Translate Strategy into Execution: Partner with product leads and business stakeholders to translate mission goals into scalable technical solutions that accelerate the digital roadmap.
  • Lead Through Code & Technical Mentorship: Set engineering standards, drive rigorous code reviews, and elevate team capability by actively building alongside junior and mid-level data engineers.
  • Ensure Operational Reliability & Incident Health: Perform root-cause analysis and rapid remediation for complex data platform incidents to maintain continuous system availability and data integrity.

Required Education and Experience
  • Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Applied Mathematics, or a related technical field (or equivalent practical experience).
  • 9+ years of hands-on experience architecting, building, and maintaining enterprise-grade batch and streaming data pipelines in modern cloud environments.
  • 2+ years of hands-on experience building and deploying production-grade AI/ML solutions, including RAG architectures, vector databases, LLM integrations, and agentic workflows.
  • Deep mastery of Python and modern data/software engineering practices.
  • Proven expertise with cloud-native data architectures (GCP/BigQuery, AWS, or Azure), distributed computing, enterprise data modeling, and visualizing end-to-end integration flows.
  • Direct experience establishing MLOps/LLMOps pipelines, containerization (Docker), real-time evaluation frameworks, and automated CI/CD deployments.
  • Demonstrated ability to tune physical data models and compute workloads to increase system performance while controlling cloud operating costs (OpEx).
  • Proven ability to drive technical strategy, establish coding standards, and mentor engineering teams through direct, active code contribution.

Preferred Education and Experience
  • Hands-on exposure to specialized AI orchestration tooling (e.g., Google Vertex AI Agent Builder).
  • Master's degree in Computer Science, Data Science, or Artificial Intelligence.

Competencies
  • Ability to design, build, and evolve multi-cloud data architectures that balance high performance with operational cost efficiency (OpEx optimization), ensuring data platforms scale seamlessly with enterprise growth.
  • Hands-on expertise in moving modern AI concepts (agentic workflows, RAG, and LLM integrations) from experimental concepts into reliable, secure, high-availability operational environments.
  • A "lead from the code" mindset that elevates team capability, enforces modern data engineering practices, and establishes high standards for code quality, documentation, and maintainability.
  • Strategic ability to connect complex data architectures directly to measurable enterprise value, translating business objectives into high value technical initiatives.
  • Deep commitment to building a system of interconnected data sources with built-in observability and improvement mechanisms by embedding data quality, automated governance, security, and real-time observability across all pipeline workflows.
  • Strong collaborative approach that bridges the gap between raw data infrastructure, product leads, software engineers, and business stakeholders to accelerate the digital product roadmap.

ADA/Physical Requirements
Extended periods seated or standing at a desk.
High use of computer and other office technology equipment.
Travel
1-5 days/yr
Compensation
This is an exempt position. The hiring salary range for this position is $164,000-$200,000 annualized.
The range displayed reflects the minimum and maximum annualized salary ASCO expects to provide for a new hire for the position across the U.S. We thoughtfully determine and design offers based on the selected candidate's relevant experience and qualifications.
Generous Benefits Package:
  • Hybrid Work Environment
  • Open Leave Policy
  • Paid Family Leave
  • 13 Paid Holidays per Calendar Year
  • Staff Appreciation Days
  • 401(k): 7.5% Employer Contribution
  • Medical/Dental/Vision
  • Employee Assistance Program
  • Fertility and Family Forming
  • Healthcare Concierge
  • Flexible Spending Account(s)
  • Healthcare Savings Account
  • Disability and Life Insurance

Applications are accepted and reviewed on a rolling basis. The job posting will remain active throughout the candidate application evaluation process.
The American Society of Clinical Oncology (ASCO) is an Equal Employment Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, national origin, sex, and religion.

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