REDi Health Analytics LLC Healthcare Data Engineer -HDE2 Remote · Full time Company website

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REDi Health is a fast-growing healthcare technology services and change management company built for rural healthcare. We partner with small and rural hospitals, clinics, state rural health offices, and underserved healthcare organizations to turn complex data into actionable financial, clinical, and operational insights. Our team helps healthcare organizations integrate disparate data sources, strengthen revenue stability, improve access to care, and drive measurable performance improvement across their operations. We focus on helping clients get more value from the systems and data they already have—supporting smarter decisions, sustainable processes, and long-term impact for the communities they serve. As a mission-driven, fully remote company, we value clarity, collaboration, innovation, and practical problem-solving. Our work is grounded in a simple goal: helping rural healthcare organizations remain strong, sustainable, and better equipped to care for their communities.

Healthcare Data Engineer (HDE2 – Intermediate)

Location: State of Nebraska

Travel: Up to ~20% (U.S.)

Our Culture

Our mission at REDi is to enhance community care by empowering small and rural hospitals to unlock the full potential of their data. Through collaboration and tailored support, we help hospital staff drive sustained improvements in outcomes and create a lasting value for their communities.

We do our best work with people who keep their word, treat others with respect and kindness, embrace innovation, build trust-based relationships with rural hospitals over the long term, and care deeply about helping rural healthcare succeed.

Why This Role is Critical to Our Success

REDi Health partners with independent rural hospitals to strengthen operational, financial, and clinical outcomes through trusted, high-quality data. The Healthcare Data Engineer (HDE2) delivers reliable data engineering outputs that support REDi’s analytics, reporting, and client delivery work. This role plays a key part in ensuring data pipelines are accurate, repeatable, and trusted, enabling analysts and consultants to focus on insight rather than data reliability.

A HDE2 operates with growing independence, applying established engineering practices while continuing to build technical judgment and healthcare data fluency.

This role exists to ensure: Client datasets and pipelines are maintained accurately and consistently, while contributing to improvements in data structure, reuse, and delivery reliability across engagements.

You’ll be responsible for: 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, and supporting analysts and consultants with reliable, well-structured data.

This role is ideal for a developing data engineer who can execute reliably with limited oversight, communicate clearly with stakeholders, and apply sound judgment to routine engineering challenges.

The Impact You’ll Have

A HDE2 strengthens REDi delivery by executing routine engineering work end-to-end and supporting more consistent, scalable data practices. Your work reduces rework, prevents downstream issues, and increases confidence in analytics outputs used by both internal teams and clients.

Key impact areas:

• 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.

As you grow in this role, your impact expands through deeper healthcare data fluency, stronger technical judgement, and broader accountability for delivery outcomes. Developing full capability in this role requires consistent performance across multiple delivery cycles and client contexts, building pattern recognition and independent judgment over time.

The Work You Will Focus On

The primary areas of focus will be:

Data Pipeline Support & Execution

• Assist with routine data ingestion and processing tasks using established methods and workflows
• Support scheduled jobs and recurring data refreshes with limited supervision
• Monitor basic pipeline outputs and promptly escalate failures or missing inputs

Data Preparation & Quality

• Support cleaning, formatting, and standardization of healthcare datasets according to REDi standards
• Perform basic validation checks to ensure accuracy before review by senior team members
• Follow REDi conventions for naming, organization, and documentation

Scalable Data Enablement

• Contribute to early-stage reusable datasets and structured tables with guidance from more senior engineers
• Learn foundational concepts of data modeling, pipeline design, and data quality best practices

Collaboration & Delivery Support

• Provide clear internal status updates and communicate blockers proactively
• Support engagement delivery through dependable technical execution and adherence to team standards.

 

How Work is Done

A HDE2 operates with moderate independence, executing routine engineering work without close supervision while seeking guidance for unfamiliar or higher-risk situations.

They follow established REDi standards and apply judgment to balance accuracy, efficiency, and delivery timelines.

Expectations for how work is performed:

• Execute assigned engineering tasks reliably with minimal rework.
• Apply consistent standards for quality, documentation, and organization.
• Ask questions early when requirements are unclear or risks are identified.
• Collaborate proactively to support smooth delivery and shared accountability.

Experience That Will Help You Be Successful

• 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.
• Familiarity with healthcare data environments such as claims, billing, or EHR systems is preferred.
• Demonstrated ability to manage routine pipelines, apply QA practices, and communicate effectively within delivery teams.

Final Word

This role is ideal for a data engineer ready to move beyond task-based execution into more independent accountability. If you enjoy building reliable data pipelines, improving data quality, and contributing to scalable healthcare analytics delivery, this role offers meaningful growth and impact.

The above statements describe the general nature and level of work being performed in this role. They are not intended to be an exhaustive list of all duties, and additional responsibilities may be assigned as needed.