Senior Data Engineer - Remote, Scalable Pipelines

Humana Inc; Austin (TX); Remote; USD 118,000 - 162,000; Full time

Benefits offered by this job

Health benefits

Annual Incentive Plan

401K match

Well-being program

Job summary

Humana Inc in the United States is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and data-driven solutions. You will collaborate with software engineers and analytics teams to deliver reliable data platforms that support business and analytical needs.

The role emphasizes high data quality, performance, and cost efficiency while applying cloud-native tools such as Azure Databricks, SAS, and SSIS. Travel may be required; remote work is supported.

Qualifications

• Bachelor’s degree in science, engineering, or computing related discipline or equivalent practical experience.
• 8+ years of 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, build, 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 for 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.

Skills

SQL

Databricks

Python

Apache Spark

Git

Azure Synapse

Azure Data Lake

Data Warehousing

Big Data tools

Education

Bachelor's degree

Equivalent practical experience

Tools

SAS

SSIS

Snowflake

Job description

Humana Inc in the United States is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and data-driven solutions. You will collaborate with software engineers and analytics teams to deliver reliable data platforms that support business and analytical needs.

The role emphasizes high data quality, performance, and cost efficiency while applying cloud-native tools such as Azure Databricks, SAS, and SSIS. Travel may be required; remote work is supported.