Senior Data Engineer — Azure Databricks & AI Pipelines (Remote)

Humana Inc; Juneau (AK); Remote; USD 118,000 - 162,000; Full time

Benefits offered by this job

Health benefits effective day 1

Annual Incentive Plan

401K - Excellent company match

Well-being program

Paid Volunteer Time Off

Generous PTO package

Job summary

Humana Inc. in the United States is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and data‑driven solutions.

You will collaborate with software engineers and analytics teams to ingest from varied sources and implement cloud‑native patterns that meet enterprise standards. The role emphasizes data quality, reliability, and performance, with exposure to big data, AI, and ML techniques to drive actionable insights for Humana’s members.

Qualifications

• Bachelor’s degree in a science, engineering, or computing related discipline or equivalent practical experience.
• 8+ years of experienceddesigning and buildingproduction gradebatch data pipelines for data ingestion and transformation.
• 8+ years of overall experience in data engineering or related roles.
• Strong proficiency in SQL, Databricks, Python, Apache Spark, Git, Azure Services (Synapse, Azure ADLS Gen 2).
• Strong understanding of relational database principles, data modeling, database management, and data warehousing.
• Strong knowledge of Big Data querying tools.
• Experience optimizing large-scale data pipelines and ETL workflows.
• Excellent communication and interpersonal skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines and workflows using Azure Databricks.
• Develop and maintain SAS programs and SSIS packages for intermediate and downstream data processing.
• Write, optimize, and maintain complex SQL queries to support data transformation and analytical use cases.
• Design and build ETL/ELT pipelines integrating data from multiple internal and external source systems.
• Select, implement, and support Big Data tools and frameworks for data processing and integration.
• Monitor, troubleshoot, and resolve complex data processing issues, applying root cause analysis and preventative fixes.
• Optimize data pipelines for performance, scalability, reliability, and cost efficiency.
• Recommend and support infrastructure improvements to meet evolving data volume and processing demands.
• Partner with product management and SRE to define requirements and translate into actionable engineering work.
• Collaborate with engineers, stakeholders, and cross functional teams to ensure alignment on data strategy, architecture, and outcomes.

Skills

SQL

Python

Apache Spark

Git

Azure Synapse

Azure Data Lake Gen2

Education

Bachelor’s degree in science/engineering/computing

Tools

Databricks

SAS

SSIS

Snowflake

Job description

Humana Inc. in the United States is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and data‑driven solutions.

You will collaborate with software engineers and analytics teams to ingest from varied sources and implement cloud‑native patterns that meet enterprise standards. The role emphasizes data quality, reliability, and performance, with exposure to big data, AI, and ML techniques to drive actionable insights for Humana’s members.