Remote Data Engineer - Azure, Databricks & AI Pipelines

Humana Inc; Louisville (KY); Remote; USD 98,000 - 134,000; Full time

Benefits offered by this job

Bonus incentive plan

Medical, dental and vision benefits

401(k) retirement savings

Job summary

Humana Inc in Louisville, KY is seeking a Data Engineer 2 to ingest data, build data pipelines, and apply AI/ML techniques to transform data into actionable insights. This full-time role emphasizes cloud-native platforms, CI/CD, and collaboration with cross-functional teams.

The ideal candidate has a Bachelor's degree or 5 years of experience, plus 5 years with Databricks, Spark, and Scala, strong SQL, and Azure expertise.

Qualifications

• Bachelor's degree or 5 years of technical experience.
• Minimum 5 years in Databricks, Spark, and Scala.
• Strong SQL knowledge and relational database modelling.
• Experience designing, developing, and testing software applications and/or infrastructure.
• Experience with Azure Cloud services (ADF, Synapse, ADLS).
• Experience with data pipelines, CI/CD, and test automation.
• Familiarity with Agile environments.

Responsibilities

• Ingests data from internal and external sources using cloud-native platforms.
• Develops software tools leveraging AI/ML and big-data techniques to transform data into insights.
• Implements data processing pipelines and maintains data quality and performance.
• Designs, builds, tests data apps and APIs to expose datasets.
• Collaborates with teams to align data solutions with business objectives.

Skills

Databricks

Spark

Scala

SQL

Relational databases

APIs

CI/CD

Agile

Test automation

Terraform

Education

Bachelor's degree

Tools

Azure Data Factory

Azure Synapse Analytics

Azure Data Lake Storage

Job description

Humana Inc in Louisville, KY is seeking a Data Engineer 2 to ingest data, build data pipelines, and apply AI/ML techniques to transform data into actionable insights. This full-time role emphasizes cloud-native platforms, CI/CD, and collaboration with cross-functional teams.

The ideal candidate has a Bachelor's degree or 5 years of experience, plus 5 years with Databricks, Spark, and Scala, strong SQL, and Azure expertise.