Data Engineer

Humana•Louisville, KY

1d•$97,900 - $133,500•Remote

About The Position

Humana is seeking a Data Engineer 2 to help improve member health and consumer experiences. The role ingests data from internal and external sources using cloud-native platforms and software development best practices. It develops tools that use artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data into insights and actions that support Humana’s members. The engineer understands organizational and departmental strategies and their connections to related areas; makes decisions about their own work methods, sometimes in ambiguous situations, with minimal direction; and follows established guidelines and procedures. This is a remote role that may require occasional travel to Humana offices for training or meetings. Employees working from home must have a dedicated workspace that protects member PHI/HIPAA information and internet service with at least 25 Mbps download and 10 Mbps upload speeds.

Requirements

Bachelor’s degree or five years of technical experience.
Five years of experience with Databricks, Spark, and Scala.
Knowledge of SQL and relational database models.
Ability to document processes related to database design, configuration, and performance.
Experience designing, developing, and testing software applications and/or infrastructure.
Experience with APIs to expose large datasets to applications and data analytics solutions.
Experience with Azure Cloud, including Azure Data Factory (ADF), Pipelines, Azure Synapse Analytics (ASA), and Azure Data Lake Storage (ADLS).
Experience developing, releasing, and supporting data processing pipelines.
Experience with test automation frameworks and tools.
Experience with Agile, Continuous Integration, and Continuous Deployment (CI/CD).
For home work, internet service with at least 25 Mbps download and 10 Mbps upload speed, and a dedicated workspace without ongoing interruptions to protect member PHI/HIPAA information.

Nice To Haves

Experience with Terraform.

Responsibilities

Ingest data from internal and external sources using cloud-native platforms and software development best practices and patterns.
Develop software tools using artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data into insights and actions.
Understand department, segment, and organizational strategies and operating objectives, including their connections to related areas.
Make decisions about own work methods, including in occasional ambiguous situations, with minimal direction and guidance as needed.
Follow established guidelines and procedures.