Data Analytics Engineer Jobs at Humana with Visa Sponsorship
Humana hires Data Analytics Engineers to support large-scale health data infrastructure, population health modeling, and enterprise reporting systems. The company has a consistent track record of sponsoring international talent in technical data roles, making it a realistic target if you're on an H-1B, OPT, or TN.
See All Data Analytics Engineer at Humana JobsOverview
Showing 5 of 32+ Data Analytics Engineer Jobs at Humana jobs


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?
See all 32+ Data Analytics Engineer Jobs at Humana
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Engineer Jobs at Humana.
Get Access To All Jobs
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.

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 Analytics Engineer at Humana jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Engineer at Humana roles.
Get Access To All JobsTips for Finding Data Analytics Engineer Jobs at Humana Jobs
Align your portfolio with healthcare data workflows
Humana's data engineering work centers on claims data, member analytics, and clinical outcome reporting. Showcase projects involving large-scale ETL pipelines, SQL-based health datasets, or cloud data warehouse tools like Snowflake or Databricks before you apply.
Target roles in Humana's enterprise analytics org
Humana posts Data Analytics Engineer roles across multiple business units, but positions tied to enterprise data platforms and population health tend to have stronger sponsorship precedent. Filter job listings by those team descriptions to find the highest-likelihood openings.
Use Migrate Mate to surface active sponsorship-ready openings
Humana's hiring volume for this role fluctuates by quarter. Use Migrate Mate to track current Data Analytics Engineer postings at Humana filtered by visa sponsorship eligibility, so you're applying when active roles are open rather than chasing stale listings.
Start OPT early so timelines align with H-1B filing windows
USCIS's H-1B cap-subject registration opens in March for an October 1 start date. If your OPT authorization runs out before October, confirm with your DSO whether a 24-month STEM extension covers the gap before accepting an offer from Humana.
Clarify sponsorship scope during the offer stage
When Humana extends an offer, ask HR directly whether they'll cover PERM-based Green Card sponsorship in addition to H-1B filing. Large healthcare employers in the holding company structure sometimes limit permanent residency support to senior or long-tenured employees.
Document your degree field carefully for specialty occupation
USCIS requires a direct relationship between your degree field and the Data Analytics Engineer role. If your degree is in a tangential area like general IT or applied statistics, gather official transcripts and course descriptions that map your coursework explicitly to data engineering functions.
Data Analytics Engineer at Humana jobs are hiring across the US. Find yours.
Find Data Analytics Engineer at Humana JobsFrequently Asked Questions
Does Humana sponsor H-1B visas for Data Analytics Engineers?
Yes. Humana sponsors H-1B visas for Data Analytics Engineers. The company has an established pattern of filing H-1B petitions for technical data roles, which fall within USCIS's specialty occupation category. Sponsorship is most common for roles requiring specific expertise in health data platforms, enterprise analytics pipelines, or cloud-based data infrastructure. Confirm sponsorship availability with the recruiter before progressing through later interview stages.
How do I apply for Data Analytics Engineer jobs at Humana?
Applications go through Humana's careers portal. Search for Data Analytics Engineer roles and filter by your location preference, as many positions support hybrid or remote work. To find roles specifically flagged for visa sponsorship eligibility, Migrate Mate aggregates active Humana postings in one place so you can identify and apply to the right openings without manually sorting through hundreds of listings.
Which visa types does Humana commonly use for Data Analytics Engineer roles?
Humana sponsors H-1B, TN, F-1 OPT (including the 24-month STEM extension), F-1 CPT for eligible students, J-1 for qualifying exchange programs, and EB-2 or EB-3 for permanent residency. Data Analytics Engineer roles typically qualify for H-1B as a specialty occupation and for TN under the engineer or computer systems analyst category for Canadian and Mexican nationals.
What qualifications does Humana expect for Data Analytics Engineer candidates?
Humana typically looks for a bachelor's degree or higher in computer science, data engineering, information systems, or a closely related field. Practical experience with SQL, Python, and cloud data platforms such as AWS or Azure is expected. Familiarity with healthcare data standards like HL7 or claims data processing is a meaningful differentiator, especially for roles embedded within Humana's clinical or population health analytics teams.
How do I think about timing when targeting Humana as a visa-sponsored employer?
If you're pursuing H-1B sponsorship, the cap-subject lottery registration window opens in March each year for an October 1 start date. Plan your job search and interview timeline so you have an offer in place before early March. If you're on OPT, your employer must be enrolled in E-Verify, which Humana is, satisfying a key STEM extension requirement. Factor in four to six months from offer to H-1B approval when projecting your start date.
See which Data Analytics Engineer at Humana employers are hiring and sponsoring visas right now.
Search Data Analytics Engineer at Humana Jobs