Senior Data Engineer: Remote Pipelines & AI Insights

Humana Inc; Salem (OR); Remote; USD 118,000 - 162,000; Full time

Benefits offered by this job

Health benefits day 1

Annual incentive plan

401K match

Well-being program

Paid volunteer time off

Generous PTO

Job summary

Humana, Inc. is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions that empower insights across the enterprise.

Segmented responsibilities span Azure Databricks, SAS/SSIS, SQL, and Spark, with emphasis on data quality, performance, and cost efficiency in a remote, US-based role. You will collaborate with product, SRE, and analytics teams to implement robust data platforms.

Qualifications

• Bachelor’s degree in science, engineering, or computing related discipline or equivalent practical experience.
• 8+ years of experience designing and building production grade batch 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 teams to define requirements and translate them into actionable engineering work.
• Collaborate effectively with engineers, stakeholders, and cross functional teams to ensure alignment on data strategy, architecture, and outcomes.

Skills

SQL

Databricks

Python

Apache Spark

Git

Azure Services

Synapse

Azure ADLS Gen 2

Big Data querying tools

Education

Bachelor’s degree in science, engineering, or computing related discipline

Tools

SAS

SSIS

Job description

Humana, Inc. is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions that empower insights across the enterprise.

Segmented responsibilities span Azure Databricks, SAS/SSIS, SQL, and Spark, with emphasis on data quality, performance, and cost efficiency in a remote, US-based role. You will collaborate with product, SRE, and analytics teams to implement robust data platforms.