Remote Senior Data Engineer — Azure Databricks & Big Data

Humana Inc; United States; Remote; USD 118,000 - 162,000; Full time

Job summary

Humana Inc. is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and data-driven solutions across Azure Databricks, SAS/SSIS, and SQL.

You will collaborate with software engineers and analytics teams to ensure data quality, reliability, and performance while aligning with enterprise architecture. This role supports advanced data platforms and analytics to advance Humana’s mission to better serve its members.

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 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 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 with root cause analysis.
• 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 into engineering work.
• Collaborate effectively with engineers, stakeholders, and cross functional teams to ensure alignment on data strategy, architecture, and outcomes.
• Use your skills to make an impact

Education

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

Tools

SQL

Databricks

Python

Apache Spark

Git

Azure Synapse

Azure ADLS Gen 2

Job description

Humana Inc. is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and data-driven solutions across Azure Databricks, SAS/SSIS, and SQL.

You will collaborate with software engineers and analytics teams to ensure data quality, reliability, and performance while aligning with enterprise architecture. This role supports advanced data platforms and analytics to advance Humana’s mission to better serve its members.