Data Science Engineer Jobs at Humana with Visa Sponsorship
Data Science Engineer jobs at Humana involve working 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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This role leads the architecture, engineering, and operationalization of the centralized Finance reporting data platform supporting CenterWell Finance reporting, analytics, and month-end close processes. We are looking for deep expertise in Databricks lakehouse engineering, medallion architecture design, advanced SQL development, and Power BI reporting optimization.
This position is remote; however, the candidate will be expected to work according to Eastern Standard Time.
Job Responsibilities
- Lead the architecture, engineering, and stabilization of the centralized Finance reporting data platform supporting enterprise Finance reporting and analytics initiatives.
- Design and implement scalable Databricks lakehouse solutions utilizing Bronze/Silver/Gold (Medallion) architecture patterns to support Finance reporting, month-end close processes, and analytical workloads.
- Develop and optimize advanced Databricks notebooks, workflows, Delta Lake pipelines, and orchestration frameworks to ingest, transform, validate, and operationalize large-scale Finance datasets.
- Engineer reporting-ready analytical datasets and dimensional models optimized for enterprise Power BI reporting, semantic models, and governed self-service analytics.
- Develop advanced SQL-based transformation logic, financial aggregations, reconciliations, and reporting datasets utilizing Databricks SQL and Snowflake capabilities.
- Design and maintain scalable star schema and curated reporting layer structures supporting financial hierarchies, KPI standardization, P&L reporting, variance analysis, and executive reporting requirements.
- Establish and maintain standardized financial hierarchies, mappings, and metric definitions across business lines, ensuring consistency across reporting outputs.
- Lead month-end Finance data operationalization processes, including ingestion, snapshot management, reconciliations, validation controls, auditability, and close-cycle reporting readiness.
- Implement enterprise-grade data quality, lineage, monitoring, validation, and change management frameworks to ensure financial data accuracy, traceability, and governance compliance.
- Partner with FP&A, Accounting, Reporting & Analytics leadership, and enterprise data teams to translate Finance reporting requirements into scalable data and reporting platform solutions.
- Provide technical leadership and architectural guidance across Finance data platform initiatives, establish engineering standards and best practices, and oversee vendor/offshore delivery execution.
- Establish and maintain standardized financial hierarchies, mappings, and metric definitions across business lines, ensuring consistency across reporting outputs.
Use your skills to make an impact
Required Qualifications
- Bachelor's degree in Information Systems, Computer Science, Analytics, Finance, or related field
- 6+ years of experience in data engineering, BI data architecture, or analytics platforms
- 3+ years of leadership experience leading data/BI engineering projects or platforms
- 2+ years of people leadership experience with direct reports
- Advanced SQL expertise for large-scale data transformation, modeling, and performance optimization
- Advanced hands-on experience with Databricks engineering, including Spark, PySpark, Delta Lake, notebooks, workflows, and orchestration.
- Strong understanding and practical implementation experience with Medallion Architecture (Bronze/Silver/Gold) and lakehouse design patterns.
- Advanced SQL expertise, including complex transformations, performance optimization, window functions, dimensional modeling, and large-scale financial data processing.
- Strong Power BI experience, including semantic model design, star schema modeling, dataset optimization, DAX understanding, and enterprise reporting enablement.
- Experience designing curated analytical datasets optimized for reporting and self-service analytics consumption.
- Experience operationalizing month-end Finance reporting processes, reconciliations, data validations, and close-cycle reporting support.
- Experience working with Snowflake and cloud-based enterprise data platforms.
- Strong stakeholder partnership experience with Finance, FP&A, Accounting, and Reporting organizations.
Preferred Qualifications
- Experience supporting Finance transformation or FP&A reporting environments
- Experience with enterprise financial systems (Oracle Financials, Anaplan, ERP platforms)
- Experience designing governed analytical datasets or semantic layers for BI tools (e.g., Power BI)
- Knowledge of healthcare financial data domains (claims, membership, RCM)
- Experience managing offshore or vendor data engineering teams
- Familiarity with data governance, lineage, and financial control requirements
- Master's degree in Information Systems, Analytics, or Business
Additional Information
WAH Internet Statement
To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. Satellite, cellular and microwave connection can be used only if approved by leadership. Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
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.
Application Deadline: 07-04-2026
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
This role leads the architecture, engineering, and operationalization of the centralized Finance reporting data platform supporting CenterWell Finance reporting, analytics, and month-end close processes. We are looking for deep expertise in Databricks lakehouse engineering, medallion architecture design, advanced SQL development, and Power BI reporting optimization.
This position is remote; however, the candidate will be expected to work according to Eastern Standard Time.
Job Responsibilities
- Lead the architecture, engineering, and stabilization of the centralized Finance reporting data platform supporting enterprise Finance reporting and analytics initiatives.
- Design and implement scalable Databricks lakehouse solutions utilizing Bronze/Silver/Gold (Medallion) architecture patterns to support Finance reporting, month-end close processes, and analytical workloads.
- Develop and optimize advanced Databricks notebooks, workflows, Delta Lake pipelines, and orchestration frameworks to ingest, transform, validate, and operationalize large-scale Finance datasets.
- Engineer reporting-ready analytical datasets and dimensional models optimized for enterprise Power BI reporting, semantic models, and governed self-service analytics.
- Develop advanced SQL-based transformation logic, financial aggregations, reconciliations, and reporting datasets utilizing Databricks SQL and Snowflake capabilities.
- Design and maintain scalable star schema and curated reporting layer structures supporting financial hierarchies, KPI standardization, P&L reporting, variance analysis, and executive reporting requirements.
- Establish and maintain standardized financial hierarchies, mappings, and metric definitions across business lines, ensuring consistency across reporting outputs.
- Lead month-end Finance data operationalization processes, including ingestion, snapshot management, reconciliations, validation controls, auditability, and close-cycle reporting readiness.
- Implement enterprise-grade data quality, lineage, monitoring, validation, and change management frameworks to ensure financial data accuracy, traceability, and governance compliance.
- Partner with FP&A, Accounting, Reporting & Analytics leadership, and enterprise data teams to translate Finance reporting requirements into scalable data and reporting platform solutions.
- Provide technical leadership and architectural guidance across Finance data platform initiatives, establish engineering standards and best practices, and oversee vendor/offshore delivery execution.
- Establish and maintain standardized financial hierarchies, mappings, and metric definitions across business lines, ensuring consistency across reporting outputs.
Use your skills to make an impact
Required Qualifications
- Bachelor's degree in Information Systems, Computer Science, Analytics, Finance, or related field
- 6+ years of experience in data engineering, BI data architecture, or analytics platforms
- 3+ years of leadership experience leading data/BI engineering projects or platforms
- 2+ years of people leadership experience with direct reports
- Advanced SQL expertise for large-scale data transformation, modeling, and performance optimization
- Advanced hands-on experience with Databricks engineering, including Spark, PySpark, Delta Lake, notebooks, workflows, and orchestration.
- Strong understanding and practical implementation experience with Medallion Architecture (Bronze/Silver/Gold) and lakehouse design patterns.
- Advanced SQL expertise, including complex transformations, performance optimization, window functions, dimensional modeling, and large-scale financial data processing.
- Strong Power BI experience, including semantic model design, star schema modeling, dataset optimization, DAX understanding, and enterprise reporting enablement.
- Experience designing curated analytical datasets optimized for reporting and self-service analytics consumption.
- Experience operationalizing month-end Finance reporting processes, reconciliations, data validations, and close-cycle reporting support.
- Experience working with Snowflake and cloud-based enterprise data platforms.
- Strong stakeholder partnership experience with Finance, FP&A, Accounting, and Reporting organizations.
Preferred Qualifications
- Experience supporting Finance transformation or FP&A reporting environments
- Experience with enterprise financial systems (Oracle Financials, Anaplan, ERP platforms)
- Experience designing governed analytical datasets or semantic layers for BI tools (e.g., Power BI)
- Knowledge of healthcare financial data domains (claims, membership, RCM)
- Experience managing offshore or vendor data engineering teams
- Familiarity with data governance, lineage, and financial control requirements
- Master's degree in Information Systems, Analytics, or Business
Additional Information
WAH Internet Statement
To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. Satellite, cellular and microwave connection can be used only if approved by leadership. Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
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.
Application Deadline: 07-04-2026
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 Jobs at Humana
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Engineer Jobs at Humana.
Get Access To All JobsTips for Finding Data Science Engineer Jobs at Humana
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.
Track Your OPT Cap-Gap Window Precisely
If you're on F-1 OPT and your H-1B is pending for the October 1 start date, the cap-gap rule lets you keep working through the gap period. Confirm your I-20 and EAD status with Humana's HR team before your OPT expiration date approaches.
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.
Frequently 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 visa 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.