Healthcare Data Engineer -HDE2

REDi Health is a fast-growing healthcare technology services company focused on rural healthcare. The Healthcare Data Engineer is responsible for producing analytics-ready datasets, troubleshooting pipeline issues, and supporting data reliability for analysts and consultants.

Responsibilities:

• Producing routine analytics-ready datasets and pipeline outputs with minimal supervision
• Troubleshooting pipeline issues and coordinating resolution with team members
• Documenting data sources and transformations clearly
• Contributing to reusable datasets and models
• Supporting analysts and consultants with reliable, well-structured data
• Ensuring timely and accurate refresh of client-facing datasets across engagements
• Applying consistent validation and QA practices that improve trust in data outputs
• Supporting repeatability through reusable datasets, standardized schemas, and clear documentation
• Enabling analysts and consultants by clarifying requirements and resolving routine data issues efficiently
• Assisting with routine data ingestion and processing tasks using established methods and workflows
• Supporting scheduled jobs and recurring data refreshes with limited supervision
• Monitoring basic pipeline outputs and promptly escalating failures or missing inputs
• Supporting cleaning, formatting, and standardization of healthcare datasets according to REDi standards
• Performing basic validation checks to ensure accuracy before review by senior team members
• Following REDi conventions for naming, organization, and documentation
• Contributing to early-stage reusable datasets and structured tables with guidance from more senior engineers
• Learning foundational concepts of data modeling, pipeline design, and data quality best practices
• Providing clear internal status updates and communicating blockers proactively
• Supporting engagement delivery through dependable technical execution and adherence to team standards

Requirements:

• Typically, 2–4 years of related data engineering or analytics experience
• Strong SQL skills with experience writing, debugging, and optimizing queries
• Experience with Python or similar data tooling for transformation and automation
• Demonstrated ability to manage routine pipelines, apply QA practices, and communicate effectively within delivery teams
• Familiarity with healthcare data environments such as claims, billing, or EHR systems