Senior Data Engineer

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.

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