Senior Data Engineer

Senior Data Engineer

Humana

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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 Data 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, 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.

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 important to us too. That's why we're committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few:

• Work-Life Balance
• Generous PTO package
• Health benefits effective day 1
• Annual Incentive Plan
• 401K - Excellent company match
• Well-being program
• Paid Volunteer Time Off

If you share our passion for helping people, we likely have the right place for you at Humana.

Work-At-Home Requirements

To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:

At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested Satellite, cellular and microwave connection can be used only if approved by leadership. Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Interview Format

As part of our hiring process for this opportunity, we will be using an interviewing technology called HireVue to enhance our hiring and decision-making ability. HireVue allows us to quickly connect and gain valuable information from you pertaining to your relevant skills and experience at a time that is best for your schedule.

Work at Home

Requirements

• To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

• Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

• Scheduled Weekly Hours

• 40