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HU

Humana

via Workday

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Senior Data Engineer

Anywhere
Full-time
Posted 3/5/2026
Direct Apply
Key Skills:
Data Lakes
Event Streaming
DevOps
Python
Azure Databricks

Compensation

Salary Range

$118K - 162K a year

Responsibilities

Design, build, and maintain data processing architectures for enterprise-scale insights using cloud-native platforms and AI/ML techniques.

Requirements

10+ years data engineering experience with hands-on Data Lakes, Event Streaming, DevOps, and 6+ years software design using best practices.

Full Description

Become a part of our caring community and help us put health first We are looking for talented Senior Data Engineer who loves building and pioneering in space technology. Team player who enjoys solving complex problems in fast paced, collaborative and iterative delivery environment It all begins with outstanding talent. It all begins with you. The Senior Data Engineer Designs builds, and maintains data processing architectures and solutions enabling the efficient conversion of structured and unstructured data to insights at enterprise scale. The Senior Data Engineer Ingests data from internal and external sources utilizing cloud native platforms and software development best practices and patterns. Develops software tools that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data into insights and actions that enables Humana to better serve our members. Responsibilities: Act as one of the primary point of contact for the team, build POCs, build quick prototypes with latest industry standard software libraries and scale it for the platform Design, code, test, debug and document programs using Agile development practices Develops new documentation and departmental technical procedures Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments. Troubleshoots business and production issues by gathering information (for example, issue, impact, criticality, possible root cause); engaging support teams to assist in the resolution of issues; formulating an action plan; performing actions as designated in the plan; interpreting the results to determine further action; performs root cause analysis to prevent future occurrence of issues; and completing online documentation Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Use your skills to make an impact Required Qualifications: 10 + years of Data engineering experience with Hands-on experience with Data Lakes, Event Streaming, Data Fabric, DevOps. 6 + years of experience designing software applications using best practices and design first approach 6 + years of experience with Python, Azure Databricks, Pyshark, Snowflake, Experience in event-based streaming using Kafka in various formats like Json or Avro Experience designing and developing cloud solutions using AWS, Azure or Google is a significant plus Experiencing leading engineering team/teams in end-to-end delivery Proficiency in federated data architectures (e.g., Data Mesh) and centralized models. Strong experience with metadata management, data lineage, governance, discovery, and quality. Experience in Database related tech like Oracle or Sql server You identify with the success of the team, and dive in to do whatever it takes to create the best work Experience analyzing existing applications and making modifications for new features while maintaining other existing functionalities Experience working with GitHub and/or GitLab, SonarQube, JUnit, designing unit test cases using TDD and BDD methodologies Experience using CI/CD pipelines and code quality tools Test driven mindset using frameworks like Junit, SOAPUI, Selenium and contract testing tools Expert knowledge of the Agile methodologies Experience in Docker and Kubernetes Preferred Qualifications: Familiarity with machine learning frameworks, tools and MLOps Experience with developing highly scalable and always available applications on large-scale distributed databases. Experience in React or Angular Experience in micro services design and development Exposure to AI 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: 03-11-2026 About us Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and 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, Medicaid, families, individuals, military service personnel, and communities at large. 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.

This job posting was last updated on 3/6/2026

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