Data Engineer Visa Sponsorship Jobs in Washington DC
Washington DC's data engineer job market is anchored by federal agencies, defense contractors, and policy-focused tech firms like Booz Allen Hamilton, Leidos, and Palantir. Many roles sit at the intersection of government data infrastructure and modern data platforms, creating consistent demand for skilled engineers. Several employers across DC, Arlington, and Bethesda actively sponsor H-1B visa and other work visas.
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The Enterprise AI organization at Humana is a pioneering force, advancing AI innovation enterprise-wide across Humana’s Insurance, CenterWell, Growth, and Corporate business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies to improve care quality and experience of millions of consumers. We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI. Join us in shaping the future of healthcare through AI excellence.
We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Humana, leveraging state-of-the-art LLMs to build applications. Our goal is to create safe AI solutions that will revolutionize and improve healthcare experience and outcomes for our customers. Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and business leaders as we work together to build impactful and beneficial AI systems.
Key Responsibilities
- AI Innovation & Responsible Generative AI: Design and develop AI solutions using Python, AI/ML and generative models like LLMs. Ensure responsible development aligned with Humana’s ethical standards, focusing on transparency, safety, and real-world impact.
- Agentic AI System Design: Build autonomous AI agents using frameworks (i.e. LangChain, LangGraph, AutoGen, CrewAI) to support reasoning and decision-making in healthcare.
- Enterprise Integration & Business Collaboration: Embed AI into Humana’s systems and workflows. Partner with business teams to understand challenges, co-create solutions, and communicate AI capabilities clearly—especially around generative AI. Design for scalability, reliability, and compliance.
- MLOps & DevOps Collaboration: Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production.
- Execution of data science initiatives, including design, development, and implementation.
- Collaborate with data scientists, data engineers, software engineers, and stakeholders to deliver high impact AI use case solutions.
- Develop and maintain advanced AI/machine learning models and algorithms.
- Design and implement robust monitoring capabilities to maintain optimal performance and reliability.
- Experience in creating reports, projections, models, and presentations to business stakeholders.
Use your skills to make an impact
Required Qualifications
- Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience preferably with a focus on developing production-ready AI solutions
- Experience with Agentic AI System Design
- Experience collaborating with MLOps and DevOps teams
- Proficiency in SQL, Python, PySpark, and data analysis/data mining tools
- Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch
- Experience with high performance, large-scale ML systems
- Experience with language modeling with transformers
- Experience with large-scale ETL
Preferred Qualifications
- Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
- Prior consulting experience
Additional Information
Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.
Office Location Options:
- Louisville, KY
- Boston, MA
- New York, NY
- Dallas, TX
- Tampa, FL
- Washington, DC (Arlington, VA)
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
$117,600 - $161,700 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
About Us
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
Become a part of our caring community
The Enterprise AI organization at Humana is a pioneering force, advancing AI innovation enterprise-wide across Humana’s Insurance, CenterWell, Growth, and Corporate business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies to improve care quality and experience of millions of consumers. We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI. Join us in shaping the future of healthcare through AI excellence.
We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Humana, leveraging state-of-the-art LLMs to build applications. Our goal is to create safe AI solutions that will revolutionize and improve healthcare experience and outcomes for our customers. Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and business leaders as we work together to build impactful and beneficial AI systems.
Key Responsibilities
- AI Innovation & Responsible Generative AI: Design and develop AI solutions using Python, AI/ML and generative models like LLMs. Ensure responsible development aligned with Humana’s ethical standards, focusing on transparency, safety, and real-world impact.
- Agentic AI System Design: Build autonomous AI agents using frameworks (i.e. LangChain, LangGraph, AutoGen, CrewAI) to support reasoning and decision-making in healthcare.
- Enterprise Integration & Business Collaboration: Embed AI into Humana’s systems and workflows. Partner with business teams to understand challenges, co-create solutions, and communicate AI capabilities clearly—especially around generative AI. Design for scalability, reliability, and compliance.
- MLOps & DevOps Collaboration: Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production.
- Execution of data science initiatives, including design, development, and implementation.
- Collaborate with data scientists, data engineers, software engineers, and stakeholders to deliver high impact AI use case solutions.
- Develop and maintain advanced AI/machine learning models and algorithms.
- Design and implement robust monitoring capabilities to maintain optimal performance and reliability.
- Experience in creating reports, projections, models, and presentations to business stakeholders.
Use your skills to make an impact
Required Qualifications
- Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience preferably with a focus on developing production-ready AI solutions
- Experience with Agentic AI System Design
- Experience collaborating with MLOps and DevOps teams
- Proficiency in SQL, Python, PySpark, and data analysis/data mining tools
- Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch
- Experience with high performance, large-scale ML systems
- Experience with language modeling with transformers
- Experience with large-scale ETL
Preferred Qualifications
- Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
- Prior consulting experience
Additional Information
Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.
Office Location Options:
- Louisville, KY
- Boston, MA
- New York, NY
- Dallas, TX
- Tampa, FL
- Washington, DC (Arlington, VA)
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
$117,600 - $161,700 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
About Us
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
Data Engineer Job Roles in Washington DC
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Search Data Engineer Jobs in Washington DCData Engineer Jobs in Washington DC: Frequently Asked Questions
Which companies sponsor visas for data engineers in Washington DC?
Federal contractors and consulting firms are among the most active sponsors in the DC area. Companies like Booz Allen Hamilton, Leidos, SAIC, Deloitte, and Accenture Federal Services have consistent histories of H-1B sponsorship for data engineering roles. Technology firms with government-facing divisions, including Amazon Web Services and Microsoft, also sponsor data engineers in the broader DC metro area.
Which visa types are most common for data engineer roles in Washington DC?
The H-1B is the most common visa category for data engineers in Washington DC, as data engineering typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Some employers also sponsor TN visas for Canadian and Mexican nationals, and L-1B transfers for employees moving within multinational companies with existing DC operations.
How to find data engineer visa sponsorship jobs in Washington DC?
Migrate Mate filters job listings specifically by visa sponsorship willingness, so you can browse data engineer roles in Washington DC without sorting through positions that won't support international candidates. The platform surfaces opportunities across federal contractors, consulting firms, and technology companies in the DC metro area, saving significant time compared to manually vetting each employer's sponsorship history.
Which cities in Washington DC have the most data engineer sponsorship jobs?
The DC metro area spans several high-concentration hiring zones. Washington DC proper hosts government agencies and their technology vendors, while Arlington and McLean, Virginia are dense with defense contractors and intelligence-adjacent firms. Bethesda and Rockville, Maryland attract life sciences and federal health data roles, including work tied to NIH and FDA. Reston is another notable cluster for mid-size technology companies.
Are there any DC-specific considerations for data engineers seeking visa sponsorship?
A significant portion of DC-area data engineering roles involve federal government clients, which can require security clearances. Sponsoring a work visa and obtaining a clearance are handled separately, and many contractors prefer candidates who are already clearance-eligible, which generally limits eligibility to U.S. citizens or permanent residents. Data engineers targeting fully private-sector employers in DC avoid this constraint and face a more straightforward sponsorship process.
What is the prevailing wage for sponsored data engineer jobs in Washington DC?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.