Data Contributor Jobs at Humana with Visa Sponsorship
Data Contributor roles at Humana sit at the intersection of healthcare data and enterprise analytics, supporting the company's broader managed care and insurance operations. Humana has a track record of sponsoring international talent across multiple visa categories for data-focused functions, making it a realistic target if you're building a U.S. career in healthcare data.
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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 43+ Data Contributor at Humana jobs
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Get Access To All JobsTips for Finding Data Contributor Jobs at Humana Jobs
Align your credentials to healthcare data standards
Humana operates in a heavily regulated healthcare environment, so certifications in data governance, HL7, or HIPAA-adjacent tooling signal immediate relevance. Translate your experience into healthcare-specific terminology before you apply.
Target roles tied to Humana's core business lines
Data Contributor openings at Humana often support Medicare Advantage, Medicaid, or clinical analytics functions. Filtering your search by these business units increases your odds of landing a team that actively sponsors rather than one that recruits domestically.
Search verified sponsorship-friendly openings on Migrate Mate
Browse Data Contributor listings at Humana filtered by visa sponsorship eligibility on Migrate Mate. This saves time you'd otherwise spend cold-applying to roles that never intended to sponsor international candidates.
Prepare a specialty occupation argument for your role
USCIS scrutinizes Data Contributor titles that sound generalist. Before filing, work with Humana's immigration counsel to document that your specific duties require at minimum a bachelor's degree in a directly related field like data science, statistics, or computer science.
Data Contributor at Humana jobs are hiring across the US. Find yours.
Find Data Contributor at Humana JobsFrequently Asked Questions
Does Humana sponsor H-1B visas for Data Contributors?
Yes, Humana sponsors H-1B visas for Data Contributor roles. The company's immigration program covers the standard H-1B cap-subject process, including the annual lottery in March. Because Data Contributor positions at Humana typically require specialized knowledge of healthcare data systems, they generally meet USCIS specialty occupation standards, which strengthens the petition.
How do I apply for Data Contributor jobs at Humana?
Apply directly through Humana's careers portal, where you can filter by job category and location. Before submitting, tailor your resume to reflect healthcare data experience, including any work with claims data, clinical datasets, or managed care analytics. If you need visa sponsorship, flag that clearly in your application or recruiter screen. You can also browse verified open roles on Migrate Mate.
Which visa types does Humana commonly use for Data Contributor roles?
Humana sponsors H-1B, TN, and F-1 OPT and CPT for Data Contributor positions, along with employment-based Green Card pathways including EB-2 and EB-3. TN is available to Canadian and Mexican nationals whose roles fall under qualifying USMCA categories. For recent graduates, F-1 OPT is typically the first authorization used before transitioning to H-1B sponsorship.
What qualifications does Humana expect for Data Contributor roles?
Humana's Data Contributor positions typically require a bachelor's degree in data science, statistics, computer science, or a related quantitative field. Familiarity with SQL, Python, or healthcare-specific data environments like claims or clinical datasets is frequently listed. For USCIS H-1B purposes, the degree field needs to align directly with the role's core duties, not just general technology skills.
How do I time my application to maximize my sponsorship chances at Humana?
The H-1B lottery opens in March each year, so an offer before February gives Humana's immigration team time to prepare your petition. If you're on F-1 OPT, your employer needs a DOL-certified Labor Condition Application before filing with USCIS. Starting the recruitment process in the fall puts you in the strongest position to have an offer in place before the registration window opens.
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