Analytics Engineer Jobs at Humana with Visa Sponsorship
Humana's Analytics Engineer roles sit at the intersection of healthcare data infrastructure and business intelligence, supporting one of the country's largest health and insurance organizations. Humana has a consistent track record of sponsoring work visas for technical roles, including Analytics Engineers, across multiple visa categories.
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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+ Analytics Engineer at Humana jobs
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Get Access To All JobsTips for Finding Analytics Engineer Jobs at Humana Jobs
Align your portfolio to healthcare data
Humana's analytics work centers on claims data, member health outcomes, and risk modeling. Before applying, tailor your portfolio to show experience with large-scale healthcare or insurance datasets, even if your background is in adjacent industries like finance or pharma.
Prioritize roles specifying dbt or Snowflake
Humana's Analytics Engineer postings frequently call out dbt, Snowflake, and SQL as hard requirements. Roles that list these explicitly tend to move faster through headcount approval, which shortens the window between offer and petition filing.
Clarify sponsorship scope before your final interview
Humana sponsors multiple visa categories, but not every hiring team handles all of them. Confirm which visa types the specific business unit supports before your final round, so there are no surprises when the offer letter arrives.
Use Migrate Mate to filter Analytics Engineer openings
Humana posts Analytics Engineer roles across multiple business units, and not all listings surface visa sponsorship details. Use Migrate Mate to filter specifically for Humana postings that confirm sponsorship eligibility, so you're not applying blind.
Prepare for PERM labor market evidence early
If your goal is Green Card sponsorship via EB-2 or EB-3, understand that PERM requires Humana to document a domestic labor market test. Gaps in your specialty or unusual degree equivalencies can slow that process, so resolve credential documentation before you need it.
Analytics Engineer at Humana jobs are hiring across the US. Find yours.
Find Analytics Engineer at Humana JobsFrequently Asked Questions
Does Humana sponsor H-1B visas for Analytics Engineers?
Yes, Humana sponsors H-1B visas for Analytics Engineers. The company has a consistent pattern of filing H-1B petitions for technical roles that require specialized data skills, and Analytics Engineer positions fall squarely in that category. If you're currently on OPT or another nonimmigrant status, it's worth raising sponsorship directly with the recruiter once you receive an offer.
Which visa types does Humana commonly use for Analytics Engineer roles?
Humana sponsors a range of visa categories for Analytics Engineers, including H-1B, TN for Canadian and Mexican nationals, F-1 OPT and CPT for students in active programs, and J-1 for eligible exchange visitors. For longer-term permanent residence, Humana also supports EB-2 and EB-3 Green Card pathways through the PERM labor certification process filed with the DOL.
What qualifications does Humana expect for Analytics Engineer roles?
Humana's Analytics Engineer postings typically require a bachelor's degree in computer science, data engineering, statistics, or a related technical field. Hands-on experience with dbt, Snowflake, SQL, and data pipeline tooling is consistently listed. Healthcare domain knowledge is preferred but not always required. For H-1B purposes, your degree must align specifically with the role's technical requirements to satisfy the specialty occupation standard.
How do I apply for Analytics Engineer jobs at Humana?
You can apply through Humana's careers portal directly. For a faster way to identify roles that confirm visa sponsorship, browse Analytics Engineer listings at Humana on Migrate Mate, which filters for sponsorship-eligible positions. When applying, tailor your resume to highlight the specific data tools listed in the job description, since Humana's technical screens tend to closely mirror the posted requirements.
How do I plan my timeline if I need sponsorship for an Analytics Engineer role at Humana?
Timeline depends on your current status. F-1 OPT students have up to 12 months of work authorization, with a 24-month STEM extension available for qualifying degrees, giving you runway to pursue H-1B sponsorship through the annual lottery. TN status can be initiated at the border or port of entry with minimal lead time. For H-1B cap filings, USCIS registration opens in early March each year, so offers and internal approvals need to be in place before then.
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