$117,600 - $161,700 py; bonus incentive plan avail...
Fully remote
Data lakes, event streaming, data fabric, devops
Python, azure databricks, pyshark, snowflake
Kafka event-based streaming
Designs, builds, and maintains data processing architectures and solutions enabling the efficient conversion of structured and unstructured data to insights at enterprise scale
Job Summary
Designs, builds, and maintains data processing architectures and solutions enabling the efficient conversion of structured and unstructured data to insights at enterprise scale.
Develops software tools that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data into insights and actions.
Humana offers competitive benefits that support whole-person well-being, including medical, dental, vision, 401(k), and various paid time off options.
Matching Summary
Designs, builds, and maintains data processing architectures and solutions enabling the efficient conversion of structured and unstructured data to insights at enterprise scale.
Salary
$117,600 - $161,700 per year; Bonus incentive plan available; Benefits: medical, dental, vision, 401(k), time off, disability, life insurance
Skills & Requirements
Must-have
Data Lakes, Event Streaming, Data Fabric, DevOps
Python, Azure Databricks, Pyshark, Snowflake
Kafka event-based streaming
Cloud solutions (AWS, Azure, Google)
Metadata management, data lineage, governance
Agile development practices
CI/CD pipelines and code quality tools
Nice-to-have
Space technology innovation
Machine learning frameworks and MLOps
Highly scalable and always available applications
Microservices design and development
React or Angular experience
Key Requirements
10+ years of Data engineering experience
6+ years of experience designing software applications
6+ years of experience with Python, Azure Databricks, Pyshark, Snowflake
Experience in event-based streaming using Kafka
Experience designing and developing cloud solutions
Proficiency in federated data architectures
Strong experience with metadata management
Experience in Database related tech (Oracle or Sql server)