Healthcare STEM OPT Jobs in Washington DC
Healthcare F-1 STEM OPT sponsorship jobs in Washington DC are concentrated among major health systems, federal health agencies, and research institutions such as MedStar Health, Children's National Hospital, and the National Institutes of Health. DC's unique mix of clinical, research, and health policy roles makes it a strong market for STEM-designated healthcare degree holders seeking OPT work authorization.
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Get Access To All JobsINTRODUCTION
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
CVS Health is looking for hands-on, passionate people who want to join a high-energy and growing team to make a difference in customers’ lives and be at the forefront of digital innovation, reinventing what a pharmacy and healthcare company can be in the digital world.
We are seeking a highly skilled backend-focused Senior Software Engineer to join our team focused on building software components using a cloud-native platform hosted on Google Cloud Platform (GCP). This role requires strong hands-on engineering expertise to build intelligent, distributed systems. As part of the team, you will play a key role in designing, developing, and maintaining microservices and production systems.
The right candidate will be a strong analytical thinker, capable of breaking down complex problems into manageable components and solving them systematically. We value collaboration and a team-first mindset.
ROLE AND RESPONSIBILITIES
- Contribute to the design and implementation of scalable microservices architectures, including APIs, domain-driven services, and event-driven systems
- Develop and maintain backend services and distributed systems with a focus on scalability, resiliency, and performance
- Collaborate with architects and senior engineers to implement technical strategies aligned with microservices-based and cloud-native design
- Build and enhance data pipelines and platforms to support real-time and batch processing
- Enable/Implement AI-driven capabilities such as intelligent search, recommendations, and decision-support systems
- Contribute to the development and optimization of search systems using technologies such as Elastic/OpenSearch/Solr
- Implement CI/CD pipelines, DevOps practices, and automated testing using modern tools (GitHub, Jenkins, CircleCI, Harness)
- Ensure system reliability through monitoring, logging, and observability best practices
- Participate in design discussions and code reviews, following established engineering standards and best practices
- Collaborate closely with product managers, architects, and cross-functional teams to deliver scalable and modular solutions
- Support production systems, troubleshooting issues and improving system performance and stability
- Follow responsible AI practices, ensuring quality and reliability of AI-enabled features
BASIC QUALIFICATIONS
- 4+ years of experience in software engineering, including full software development lifecycle (design, development, testing, deployment)
- 3+ years of experience building cloud-native applications (GCP, AWS, or Azure)
- Strong programming skills in at least one of the following languages: Java, Python, Kotlin, or Go, with a focus on backend and API development
- 2+ years of experience designing and developing microservices, including API design and event-driven patterns
- Experience using AI development tools such as Claude/Curosr/OpenCode/Codex
- Experience building distributed systems with an understanding of scalability, resiliency, and fault tolerance
- Experience with search technologies such as ElasticSearch/OpenSearch/Solr/Lucene
- Experience with CI/CD pipelines and DevOps practices
- Experience with containerization and orchestration (Docker, Kubernetes)
- Experience with observability and monitoring tools, including Splunk, for logging, alerting, and production support
- Proven experience working in highly cross-functional, collaborative environments
PREFERRED QUALIFICATIONS
- Experience working on data-driven systems such as personalization, recommendations, or analytics platforms
- Basic understanding of machine learning concepts, statistical methods, or search relevance techniques
- Strong communication skills and ability to collaborate effectively across teams
Education
Bachelor’s degree or equivalent experience (HS diploma + 4 years relevant experience)
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$64,890.00 - $173,040.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 07/04/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
INTRODUCTION
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
CVS Health is looking for hands-on, passionate people who want to join a high-energy and growing team to make a difference in customers’ lives and be at the forefront of digital innovation, reinventing what a pharmacy and healthcare company can be in the digital world.
We are seeking a highly skilled backend-focused Senior Software Engineer to join our team focused on building software components using a cloud-native platform hosted on Google Cloud Platform (GCP). This role requires strong hands-on engineering expertise to build intelligent, distributed systems. As part of the team, you will play a key role in designing, developing, and maintaining microservices and production systems.
The right candidate will be a strong analytical thinker, capable of breaking down complex problems into manageable components and solving them systematically. We value collaboration and a team-first mindset.
ROLE AND RESPONSIBILITIES
- Contribute to the design and implementation of scalable microservices architectures, including APIs, domain-driven services, and event-driven systems
- Develop and maintain backend services and distributed systems with a focus on scalability, resiliency, and performance
- Collaborate with architects and senior engineers to implement technical strategies aligned with microservices-based and cloud-native design
- Build and enhance data pipelines and platforms to support real-time and batch processing
- Enable/Implement AI-driven capabilities such as intelligent search, recommendations, and decision-support systems
- Contribute to the development and optimization of search systems using technologies such as Elastic/OpenSearch/Solr
- Implement CI/CD pipelines, DevOps practices, and automated testing using modern tools (GitHub, Jenkins, CircleCI, Harness)
- Ensure system reliability through monitoring, logging, and observability best practices
- Participate in design discussions and code reviews, following established engineering standards and best practices
- Collaborate closely with product managers, architects, and cross-functional teams to deliver scalable and modular solutions
- Support production systems, troubleshooting issues and improving system performance and stability
- Follow responsible AI practices, ensuring quality and reliability of AI-enabled features
BASIC QUALIFICATIONS
- 4+ years of experience in software engineering, including full software development lifecycle (design, development, testing, deployment)
- 3+ years of experience building cloud-native applications (GCP, AWS, or Azure)
- Strong programming skills in at least one of the following languages: Java, Python, Kotlin, or Go, with a focus on backend and API development
- 2+ years of experience designing and developing microservices, including API design and event-driven patterns
- Experience using AI development tools such as Claude/Curosr/OpenCode/Codex
- Experience building distributed systems with an understanding of scalability, resiliency, and fault tolerance
- Experience with search technologies such as ElasticSearch/OpenSearch/Solr/Lucene
- Experience with CI/CD pipelines and DevOps practices
- Experience with containerization and orchestration (Docker, Kubernetes)
- Experience with observability and monitoring tools, including Splunk, for logging, alerting, and production support
- Proven experience working in highly cross-functional, collaborative environments
PREFERRED QUALIFICATIONS
- Experience working on data-driven systems such as personalization, recommendations, or analytics platforms
- Basic understanding of machine learning concepts, statistical methods, or search relevance techniques
- Strong communication skills and ability to collaborate effectively across teams
Education
Bachelor’s degree or equivalent experience (HS diploma + 4 years relevant experience)
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$64,890.00 - $173,040.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 07/04/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
STEM OPT Healthcare Job Roles in Washington DC
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Search Healthcare Jobs in Washington DCHealthcare STEM OPT Sponsorship Jobs in Washington DC: Frequently Asked Questions
Which healthcare companies sponsor F-1 STEM OPT visas in Washington DC?
Major Washington DC healthcare employers with documented sponsorship activity include MedStar Health, Children's National Hospital, Howard University Hospital, and George Washington University Hospital. Federal health agencies such as the NIH Clinical Center and federal contractors operating in the DC metro area also hire STEM OPT candidates in research, health informatics, and data analytics roles. Sponsorship history varies by role and department, so verifying employer-level LCA filings through the OFLC is recommended.
What types of healthcare roles typically qualify for F-1 STEM OPT sponsorship?
Roles that qualify for STEM OPT typically fall under STEM-designated Classification of Instructional Programs codes, so the job must match a qualifying degree field. In healthcare, this most commonly includes health informatics, biomedical engineering, clinical data analytics, bioinformatics, public health epidemiology, and healthcare systems analysis. Direct patient-care roles tied to non-STEM degrees generally do not qualify. Checking your degree's CIP code against the STEM OPT designated degree list through USCIS is the first step.
How do I find healthcare F-1 STEM OPT sponsorship jobs in Washington DC?
Migrate Mate filters healthcare jobs in Washington DC specifically by F-1 STEM OPT sponsorship eligibility, saving you from manually cross-referencing employer LCA filings. You can search by role type, employer, and location across DC's health systems, federal health agencies, and research institutions. This is more efficient than general job boards that don't surface visa sponsorship data, and it lets you focus on employers who have an established track record of hiring STEM OPT candidates.
Which parts of Washington DC have the most healthcare F-1 STEM OPT sponsorship jobs?
Washington DC is a single jurisdiction, so jobs are concentrated in the city itself rather than spread across multiple cities. Key hiring clusters include the Capitol Hill and NoMa corridors near major hospitals, the NIH-adjacent research ecosystem in the broader DC metro area, and the medical campuses of Georgetown, George Washington University, and Howard University. Health IT and health policy roles tied to federal contractors are particularly common in the downtown and Foggy Bottom areas.
What state-specific or industry considerations should F-1 STEM OPT candidates know about healthcare jobs in Washington DC?
Washington DC's healthcare market is heavily influenced by federal health policy, meaning many employers are federal agencies, federally funded research institutions, or government contractors. These employers are often required to use E-Verify, which aligns with STEM OPT employer obligations. DC also has a high concentration of health policy and public health roles alongside clinical positions. STEM OPT candidates should confirm their employer's DSO-reported training plan meets all USCIS requirements for the specific role before starting work.