Data Analytics Engineer Jobs at Humana with Visa Sponsorship
Data Analytics Engineer jobs at Humana 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 visa, OPT, or TN visa.
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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.
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Get Access To All JobsTips for Finding Data Analytics Engineer Jobs at Humana
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.
Frequently 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 visa 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.