Role Overview

• Support a large enterprise healthcare organization with Hadoop-based data processing platforms

• Hands-on development role focused on batch data processing, not reporting or BI

• Build, enhance, and maintain Spark-based workflows used across downstream analytics and business systems

• Work within a regulated, production enterprise environment

What You’ll Be Doing

• Develop and enhance data processing solutions on Hadoop platforms

• Build and support Spark-based batch workflows

• Write and maintain Python and SQL code used in production systems

• Review peer code and contribute to coding standards and best practices

• Create and maintain technical documentation and specifications

• Participate in unit testing, debugging, and release activities

• Support applications through the full software development life cycle

• Ensure data integrity, availability, and security requirements are met

• Collaborate with developers, analysts, and project stakeholders

Required Skills and Experience

• 3+ years of professional experience in software development or data engineering

• Hands-on experience working with Hadoop

• Experience developing Spark batch jobs

• Proficiency in Python

• Strong SQL skills, including stored procedures

• Experience supporting production data processing systems

• Familiarity with SDLC, change management, and release processes

• Ability to work independently and manage assigned tasks

Nice to Have

• Experience in regulated or enterprise environments

• Exposure to large-scale batch data platforms

• Familiarity with healthcare or financial services data

Additional Details

• Hybrid onsite role in Jacksonville, FL

• No travel required

• Standard business hours, 8 AM – 5 PM