Senior Data Engineer

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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 scalabledata pipelines and workflowsusingAzure Databricks

Develop and maintainSAS programs and SSIS packagesfor intermediate and downstream data processing

Write, optimize, and maintaincomplex SQL queriesto support data transformation and analytical use cases

Design and buildETL/ELT pipelinesintegrating data from multiple internal and external source systems

Select, implement, and supportBig Data tools and frameworksfor data processing and integration

Monitor, troubleshoot, and resolvecomplex data processing issues, applyingroot causeanalysis and preventative fixes

Optimize data pipelines forperformance, scalability, reliability, and cost efficiency

Recommend and supportinfrastructure improvementsto meet evolving data volume and processing demands

Partner withproduct management and SRE teamsto define requirements and translate them into actionable engineering work

Collaborate effectively with engineers, stakeholders, andcross functionalteams to ensure alignment ondata strategy, architecture, and outcomes

Use your skills to make an impact

Required Qualifications

Bachelor’s degree in a science, engineering, orcomputing relateddisciplineor equivalent practical experience

8+ years of experiencedesigning and buildingproduction gradebatch data pipelinesfor data ingestion and transformation

8+ years of overall experience in data engineering or related roles

Strong proficiency in the following technologies: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 ware