Senior Data Engineer

About this role

Become a part of our caring community   The Senior Data Engineer designs, builds, and maintains data processing solutions that enable the efficient transformation of structured and unstructured data into meaningful insights. Working closely with engineers and cross functional partners, this role contributes to data ingestion from internal and external sources using cloud‑native platforms, established engineering best practices, and proven design patterns.

This position supports the design, development, and maintenance of scalable data solutions and supporting software applications based on business requirements. The work involves moderately complex to complex problem solving and requires in‑depth analysis of data, systems, and variable factors. The Data Engineer ensures reliable collection, storage, processing, and analysis of large data sets while aligning solutions with enterprise architecture standards.

In addition, the Data Engineer contributes to data and software solutions that leverage big data, artificial intelligence, and machine learning techniques to cleanse, organize, and transform data into actionable insights—supporting Humana’s mission to better serve its members.

Exceptional outcomes begin with exceptional talent. They begin with you. In addition, the Data Engineer contributes to data and software solutions that leverage big data, artificial intelligence, and machine learning techniques to cleanse, organize, and transform data into actionable insights—supporting Humana’s mission to better serve its members.

Exceptional outcomes begin with exceptional talent. They begin with you.

We are seeking a talented   Senior   Da ta Engineer   who is passionate about building innovative data solutions and contributing to pioneering work within the space technology domain. This role is well suited for a collaborative team player who thrives in a   fast-paced , iterative delivery environment and is motivated by solving complex problems.  

The   Senior   Data Engineer will design, build,   maintain , and   optimize   scalable data pipelines and data ‑ driven solutions. This role focuses on developing systems for collecting, storing, processing, and analyzing large volumes of data while ensuring   high standards   of data quality, reliability, and performance. The successful candidate will evaluate and select   appropriate technologies , implement and   monitor   data workflows, and continuously improve data platform capabilities.  

This position requires close collaboration with software engineering and analytics teams to integrate data solutions into shared platforms and architectures, applying strong engineering principles to support both business and analytical needs.  

Responsibilities Include   

• 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  

•     

Use your skills to make an impact   Required 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 the following technologies:   SQL, D atabricks,   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.  

Nice to have Qualifications  

• Experience working on cloud migrations and legacy modernization.  

• Experience working with Snowflake.  

• Experience working in a healthcare space and designing systems to protect member PHI and PII.  

What   It’s   Like   To   Work Here  

We take immense pride in cultivating a strong, person-first   culture,   always looking for ways to be intentionally uncommon. Our team is made up of talented, creative, kind, funny, and energetic folks wired for continuous improvement.  

To be great at Humana, we find our team members have these things in common:  

• Gain energy from working in a fast-paced, creative environment  

• Decision making that employs a blend of data-driven insights and intuition  

• Ability to multitask and handle multiple projects concurrently  

• Resilience and positivity, able to address setbacks and bounce back quickly  

• Resourcefulness, discovering creative ways to get things done  

• Joy in making an immediate and positive impact  

• Diverse interests that are welcomed in and extend beyond our organization  

Additional Information Why Humana? At Humana, we know your well-being is important to you, and it's

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