Senior Data Engineer
Core
Design, build, and maintain scalable data pipelines and workflows to transform structured and unstructured data into actionable insights for healthcare members. (via careerplan.io/jobs/R-432073-senior-data-engineer-at-humana)
Role type
Senior IC data engineer (cloud-native batch processing)
Builds
Scalable ETL/ELT pipelines, data ingestion solutions, and data-driven software applications
Domain
Healthcare + Cloud Data Engineering
Required skills
SQL, Python, Apache Spark, Azure Databricks, Git, Azure Synapse, Azure ADLS Gen 2, Big Data frameworks, ETL/ELT design, data modeling, root cause analysis
Preferred skills
Cloud migration, legacy modernization, Snowflake, healthcare data privacy (PHI/PII)
Technologies
Azure Databricks, Azure Synapse, Azure ADLS Gen 2, Apache Spark, SQL, SSIS, SAS
Responsibilities
Design and develop scalable data pipelines using Azure Databricks; Write and optimize complex SQL queries; Build ETL/ELT pipelines integrating internal and external sources; Monitor and troubleshoot data processing issues; Optimize pipelines for performance and cost efficiency; Partner with product management and SRE teams to define requirements
Seniority
Senior, hands-on IC