Jobs / United States / Humana INC
Data Engineer
Humana INC · 🇺🇸 11 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 260 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 130 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Humana INC paid sponsored hires in similar roles5 certified filings for “Senior Data Engineer” (Data Scientists) in TX: $107k–$136k, median $129k. Most were filed at wage level I (33%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Humana INC
The US Department of Labor certified 260 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 130 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Humana INC →
About the role
Become a part of our caring community We are looking for a motivated and detail-oriented Data Engineer II to join our Home Health Data Engineering team. In this role, you will contribute to the design, development, and maintenance of cloud-based data solutions that support business intelligence, analytics, and operational reporting initiatives. You will work closely with senior engineers, architects, analysts, and business stakeholders to build reliable and scalable data pipelines while developing your expertise in modern cloud data platforms. This position is ideal for an engineer who is passionate about data, eager to learn emerging technologies, and interested in growing their skills in Snowflake, Azure, and modern data engineering practices. What You Will Be Doing Develop and maintain data pipelines and integrations that support data ingestion, transformation, and delivery across enterprise data platforms. Build and support Snowflake-based solutions , including loading, transforming, and validating data from multiple source systems. Assist in developing cloud-native data workflows using Azure services , including Databricks, Storage, and related technologies. Contribute to data migration initiatives from on-premises systems to cloud-based platforms, helping modernize data processes and architecture. Create and maintain ETL/ELT processes that ensure data accuracy, consistency, and availability for downstream consumers. Develop and support API-based integrations , including MuleSoft integrations, to enable secure and reliable data exchange between systems. Troubleshoot and resolve data pipeline issues , working with senior engineers to identify root causes and implement corrective actions. Collaborate with business analysts, data architects, and stakeholders to understand requirements and deliver effective data solutions. Participate in code reviews and testing activities , ensuring solutions adhere to established engineering standards and best practices. Support data quality, governance, and security initiatives , ensuring compliance with organizational and regulatory requirements. Document technical solutions, processes, and operational procedures to support maintainability and knowledge sharing. Continuously learn and adopt new technologies and engineering practices to improve platform capabilities and team effectiveness. Use your skills to make an impact What You Bring Hands-on experience with Snowflake or similar cloud data warehouse technologies. Working knowledge of Azure cloud services , such as Databricks, Storage Accounts, and Azure DevOps. Proficiency in SQL and experience with Python or another programming language used for data engineering. Understanding of ETL/ELT concepts , data integration patterns, and data transformation techniques. Exposure to MuleSoft or API-based integration platforms is preferred. Familiarity with Git-based source control , CI/CD concepts, and software development best practices. Basic understanding of data modeling, database design, and cloud architecture principles . Strong analytical and problem-solving skills with the ability to investigate and resolve technical issues. Ability to work collaboratively in a team environment while taking ownership of assigned tasks. Strong communication skills and a willingness to learn from experienced engineers and technical leaders. Experience with healthcare data or regulated environments is a plus. Required Skills • Snowflake • Databricks • SQL • Python • MuleSoft • Git and CI/CD tools • Data Integration and ETL/ELT Frameworks • Azure Data Platform Services • Good to have Terraforms Preferred Experience • 2–4 years of experience in Data Engineering, Data Integration, or a related technical field. • Bachelor's degree in Computer Sci