Senior Data Engineer

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.

• 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

• 10 + years of Data engineering experience with Hands-on experience with Data Lakes, Event Streaming, Data Fabric, Dev Ops.
• 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 Git Hub and/or Git Lab, Sonar Qube, 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

• 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.

40

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.…