Senior Data Engineer: Build Scalable Data Pipelines

Humana Inc; Northern (KY); Hybrid; USD 118,000 - 162,000; Full time

Benefits offered by this job

Health benefits day 1

Generous PTO

401K match

Well-being program

Job summary

Humana, Inc. is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and data-driven solutions in a remote nationwide setting.

You will collaborate with software engineers, analytics teams, and product stakeholders to transform both structured and unstructured data into actionable insights. The role emphasizes cloud-based data processing with Azure Databricks, SAS/SSIS, and SQL, focusing on data quality, performance, and cost efficiency.

Qualifications

• Bachelor’s degree in a science, engineering, or computing-related discipline or equivalent practical experience.
• 8+ years of experience designing and building production-grade batch data pipelines.
• 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.
• 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 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 Synapse

Azure ADLS Gen2

Big Data

Education

Bachelor's degree in science/engineering/computing

Tools

SAS

SSIS

Snowflake

Job description

Humana, Inc. is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and data-driven solutions in a remote nationwide setting.

You will collaborate with software engineers, analytics teams, and product stakeholders to transform both structured and unstructured data into actionable insights. The role emphasizes cloud-based data processing with Azure Databricks, SAS/SSIS, and SQL, focusing on data quality, performance, and cost efficiency.