Data Science Engineer Jobs at Humana with Visa Sponsorship
Humana hires Data Science Engineers to work across healthcare analytics, predictive modeling, and enterprise data infrastructure. The company has an established sponsorship process for this function, supporting candidates on a range of work visa types from initial OPT through long-term employment-based Green Card pathways.
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As a Senior Data Engineer, you will play a critical role in building the Agentic AI platform and delivering cutting-edge AI-powered solutions. You’ll work with large-scale datasets and state-of-the-art tools to address complex business problems. This role involves close collaboration with data scientists and fellow engineers across the entire AI development lifecycle—from data ingestion to deployment and monitoring. Explore and implement generative AI technologies using Large Language Models and other generative models to create innovative solutions.
Your Role and Responsibilities:
- Build and maintain robust APIs for enabling Retrieval-Augmented Generation and generative AI agents within business use cases.
- Design, develop, and maintain robust data pipelines for ingestion, processing, and transformation of large datasets.
- Assist our data science team in the development and deployment of traditional machine learning models.
- Collaborate with data scientists to understand model requirements and translate them into scalable engineering solutions.
- Monitor and maintain performance and reliability of deployed APIs, models, and data pipelines.
- Stay up to date with the latest advancements in machine learning, generative AI, and related technologies.
This is a HYBRID office position requiring an in-office presence 3 days/wk in one of the following locations: Dallas, TX, Tampa, FL, Washington DC, Boston, MA, NYC, New York, or Louisville, KY.
You must reside within commutable distance or be willing to relocate to our offices located in these areas.
Use your skills to make an impact
Required Qualifications:
- Bachelor's Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or a related field) with a minimum of 5 years of professional experience; OR
- 7+ years of Python application development and data manipulation libraries (e.g., Pandas, NumPy).
- Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts.
- 3+ years of experience with containerization (e.g., Docker, Kubernetes).
- 3+ years of experience with CI/CD tools, pipelines.
- 3+ years of experience with PySpark.
- 2+ years of experience working on any cloud platform (Azure / GCP / AWS).
- Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Knowledge of generative AI frameworks such as Langchain or Pydantic AI.
- Experience working with Large Language Model (LLM) in application development.
Highly Desired Qualifications:
- Master's Degree in a similar field with at least 5 years of relevant experience.
- Experience with version control systems (e.g., Git) and software development best practices.
- Excellent problem-solving skills and ability to work in a collaborative environment.
- Experience deploying software using tools like Docker and Kubernetes.
- Experience with deep learning techniques and frameworks.
- Experience working with any NoSQL DBs.
- Knowledge of natural language processing (NLP).
- Familiarity with big data and data streaming technologies (e.g., Hadoop, Spark, Kafka).
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, volunteer time off, 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
As a Senior Data Engineer, you will play a critical role in building the Agentic AI platform and delivering cutting-edge AI-powered solutions. You’ll work with large-scale datasets and state-of-the-art tools to address complex business problems. This role involves close collaboration with data scientists and fellow engineers across the entire AI development lifecycle—from data ingestion to deployment and monitoring. Explore and implement generative AI technologies using Large Language Models and other generative models to create innovative solutions.
Your Role and Responsibilities:
- Build and maintain robust APIs for enabling Retrieval-Augmented Generation and generative AI agents within business use cases.
- Design, develop, and maintain robust data pipelines for ingestion, processing, and transformation of large datasets.
- Assist our data science team in the development and deployment of traditional machine learning models.
- Collaborate with data scientists to understand model requirements and translate them into scalable engineering solutions.
- Monitor and maintain performance and reliability of deployed APIs, models, and data pipelines.
- Stay up to date with the latest advancements in machine learning, generative AI, and related technologies.
This is a HYBRID office position requiring an in-office presence 3 days/wk in one of the following locations: Dallas, TX, Tampa, FL, Washington DC, Boston, MA, NYC, New York, or Louisville, KY.
You must reside within commutable distance or be willing to relocate to our offices located in these areas.
Use your skills to make an impact
Required Qualifications:
- Bachelor's Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or a related field) with a minimum of 5 years of professional experience; OR
- 7+ years of Python application development and data manipulation libraries (e.g., Pandas, NumPy).
- Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts.
- 3+ years of experience with containerization (e.g., Docker, Kubernetes).
- 3+ years of experience with CI/CD tools, pipelines.
- 3+ years of experience with PySpark.
- 2+ years of experience working on any cloud platform (Azure / GCP / AWS).
- Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Knowledge of generative AI frameworks such as Langchain or Pydantic AI.
- Experience working with Large Language Model (LLM) in application development.
Highly Desired Qualifications:
- Master's Degree in a similar field with at least 5 years of relevant experience.
- Experience with version control systems (e.g., Git) and software development best practices.
- Excellent problem-solving skills and ability to work in a collaborative environment.
- Experience deploying software using tools like Docker and Kubernetes.
- Experience with deep learning techniques and frameworks.
- Experience working with any NoSQL DBs.
- Knowledge of natural language processing (NLP).
- Familiarity with big data and data streaming technologies (e.g., Hadoop, Spark, Kafka).
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, volunteer time off, 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.
See all 32+ Data Science Engineer at Humana jobs
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Get Access To All JobsTips for Finding Data Science Engineer Jobs at Humana Jobs
Frame Your Portfolio Around Healthcare Data
Humana's data science work centers on clinical outcomes, member risk stratification, and claims analytics. Tailor your portfolio to show experience with large-scale health datasets, not just general ML projects. Interviewers notice the difference.
Verify Your Credentials Meet Specialty Occupation Standards
H-1B eligibility requires your role to qualify as a specialty occupation under USCIS criteria. For Data Science Engineer positions, a degree in computer science, statistics, or a directly related field strengthens the petition considerably compared to broader STEM backgrounds.
Target Humana's Health Analytics and Actuarial Teams
Data Science Engineer openings at Humana are distributed across clinical, actuarial, and enterprise technology divisions. Roles tied to Medicare Advantage analytics or value-based care programs are frequently posted and tend to align closely with sponsorship-eligible specialty occupation definitions.
Clarify Sponsorship Scope During Offer Negotiations
Ask directly whether the offer covers H-1B filing, Green Card sponsorship under EB-2 or EB-3, and PERM labor certification. Large healthcare conglomerates like Humana often have structured immigration programs, but scope varies by business unit and level.
Use Migrate Mate to Filter Verified Sponsorship Roles
Search Humana's active Data Science Engineer openings on Migrate Mate to surface only roles with a documented sponsorship history. This saves time you'd otherwise spend contacting recruiters to confirm what the job listing doesn't state.
Data Science Engineer at Humana jobs are hiring across the US. Find yours.
Find Data Science Engineer at Humana JobsFrequently Asked Questions
Does Humana sponsor H-1B visas for Data Science Engineers?
Yes, Humana sponsors H-1B visas for Data Science Engineers. The company has a consistent track record of filing H-1B petitions for technology and analytics roles. Because H-1B selection is subject to the annual lottery, your employer needs to submit your registration in March for an October 1 start. Confirm the timeline with Humana's HR team as early as the offer stage.
How do I apply for Data Science Engineer jobs at Humana?
Apply through Humana's careers portal or use Migrate Mate to browse their active Data Science Engineer openings filtered by visa sponsorship eligibility. Humana's application process typically includes a recruiter screen, technical assessments focused on machine learning and data engineering, and panel interviews with the hiring team. Tailor your application to healthcare-specific use cases wherever your background allows.
Which visa types does Humana commonly sponsor for Data Science Engineer roles?
Humana sponsors several visa categories for Data Science Engineers, including H-1B, TN for Canadian and Mexican nationals, and F-1 OPT and CPT for students in active programs. For longer-term pathways, Humana supports employment-based Green Card sponsorship through EB-2 and EB-3 classifications, which typically require PERM labor certification filed with the DOL before the immigrant petition proceeds.
What qualifications does Humana expect for Data Science Engineer roles?
Humana's Data Science Engineer positions generally require a bachelor's or master's degree in computer science, data science, statistics, or a related quantitative field. Proficiency in Python, SQL, and cloud data platforms is standard. Experience with healthcare data formats such as claims data, HL7, or FHIR is a differentiator. Roles at the senior level often involve designing scalable ML pipelines, not just model development.
How long does the sponsorship and visa process take for a Data Science Engineer at Humana?
For H-1B, the process runs from lottery registration in March through an October 1 employment start, assuming selection. USCIS premium processing can shorten adjudication to around 15 business days once the petition is filed. For Green Card sponsorship, the PERM labor certification phase alone typically takes 12 to 18 months, followed by the I-140 petition and priority date wait, which varies significantly by country of birth.
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