Senior Data Engineer

Humana Inc; Augusta (ME); On-site; USD 120,000 - 160,000; Full time

Job summary

Humana Inc is seeking a Senior Data Engineer to design, build, and maintain data pipelines for scalable insights. You will work with engineers and analysts to ingest data from diverse sources using cloud-native platforms and modern engineering practices.

The role focuses on delivering reliable data processing, quality, and performance, while enabling AI/ML driven insights. You will evaluate technologies, monitor workflows, and collaborate across teams to align data solutions with Humana’s

Qualifications

• Bachelor's degree in a science, engineering, or computing field or equivalent practical experience.
• 8+ years building production-grade data pipelines for ingestion and transformation.
• 8+ years in data engineering or related roles.
• Strong SQL, Databricks, Python, Spark, Git, and Azure services expertise.
• Knowledge of Big Data tools and data warehousing fundamentals.
• Experience optimizing large-scale data pipelines.
• Excellent communication and collaboration skills.

Responsibilities

• Design, build, and maintain scalable data pipelines and workflows (Azure Databricks).
• Develop SAS programs and SSIS packages for data processing.
• Write and optimize complex SQL queries for transformation and analytics.
• Build ETL/ELT pipelines from multiple source systems.
• Select and support Big Data tools and frameworks for processing.
• Monitor and resolve data processing issues with root-cause analysis.
• Improve pipelines for performance, scalability, and cost efficiency.
• Collaborate with product management and SRE to translate requirements into work.
• Partner with engineers and stakeholders to align data strategy and outcomes.

Skills

SQL

Databricks

Python

Apache Spark

Git

Azure Synapse

Azure Data Lake Gen2

Big Data querying tools

Education

Bachelor's degree in science/engineering/computing

Tools

SAS

SSIS

Job description

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 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 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.