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REDi Health Careers: Join Our Team

Help improve community care alongside people who are committed to doing meaningful work.

REDi Health careers (current open positions):

About the job

Healthcare Data Engineer is 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 ensures that client datasets and pipelines are maintained accurately and consistently, while contributing to improvements in data structure, reuse, and delivery reliability across engagements.

About REDi Health Analytics LLC

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.
 

Description

Healthcare Data Engineer (HDE2 – Intermediate)

 

Location: State of Nebraska-Remote

Travel: Up to ~20%

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.


Apply

About the job

Healthcare Data Engineer is responsible for designing and implementing pipelines and reusable datasets, ensuring consistent quality and accuracy, troubleshooting and resolving moderately complex technical issues, applying healthcare data context, documenting sources and transformations, and supporting analysts and consultants with reliable, well-structured data. This role ensure that key pipelines and datasets are executed accurately end-to-end, support reusable structures and scalable practices, and maintain trusted, analytics-ready data for REDi’s delivery teams.

About REDi Health Analytics LLC

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.
 

Description

Healthcare Data Engineer (HDE3 – Senior / Career Level)

 

Location: State of Nebraska – Remote

Travel: Up to ~20%

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 help them operate sustainably through trusted, high-quality data. The Healthcare Data Engineer (HDE3) strengthens REDi’s analytics delivery by ensuring pipelines and datasets are accurate, scalable, and trusted. This role addresses moderately complex technical challenges with minimal oversight and contributes to repeatable practices and standards that enhance delivery across multiple engagements. By producing high-quality, reliable data, HDE3 contributors enable analysts and consultants to focus on insights and strategic recommendations with confidence.

This role exists to: Ensure that key pipelines and datasets are executed accurately end-to-end, support reusable structures and scalable practices, and maintain trusted, analytics-ready data for REDi’s delivery teams.

You’ll be responsible for: Designing and implementing pipelines and reusable datasets, ensuring consistent quality and accuracy, troubleshooting and resolving moderately complex technical issues, applying healthcare data context, documenting sources and transformations, and supporting analysts and consultants with reliable, well-structured data.

This role is ideal for a developing data engineer who is ready to take greater accountability of engineering work, can apply sound judgment to moderately complex challenges, and is motivated to strengthen delivery reliability across multiple engagements.

 

The Impact You’ll Have

HDE3 contributors directly influence REDi’s delivery quality, client confidence, and team efficiency. By producing accurate and repeatable pipelines and datasets, you reduce downstream issues, prevent rework, and enable analysts and consultants to focus on insight delivery. Your guidance on standards, documentation, and best practices helps strengthen REDi’s technical foundation across engagements.

Key impact areas:

  • Deliver accurate, timely, and repeatable pipeline outputs and analytics-ready datasets across multiple engagements.
  • Apply consistent quality assurance practices and validation checks to improve trust in outputs.
  • Contribute to reusable data models, standardized datasets, and scalable structures.
  • Support analysts and consultants by clarifying requirements and providing reliable datasets.
  • Mentor and share knowledge with junior engineers to strengthen team capability and adoption of standardized approaches.

As you grow in this role, your impact expands through broader technical influence, deeper healthcare data fluency, and increased 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 Ownership & Engineering Delivery

  • Develop and maintain ingestion and transformation pipelines from source to analytics-ready output.
  • Troubleshoot moderately complex failures and coordinate resolution.
  • Improve reliability through automation, monitoring, and QA enhancements.
  • Incorporate healthcare data context to ensure pipelines meet domain-specific requirements and downstream analytic needs.

Data Modeling & Architecture Support

  • Build and refine reusable models that improve scalability across clients.
  • Strengthen documentation and definitions to reduce rework and ambiguity.
  • Support the development of standards, reusable structures, and best practices across engagements.

Multi-Tenant Data Architecture & Security

  • Support secure separation of client data across multi-tenant pipelines and shared environments.
  • Apply access controls, governance practices, and design patterns that ensure privacy and compliance.

Applied Technical Enablement

  • Translate client and internal needs into structured technical requirements.
  • Support analysts by ensuring trusted, high-quality datasets are available.
  • Work with downstream users to clarify requirements, improve data usability, and ensure datasets meet analytic needs.

Collaboration & Mentorship

  • Provide guidance to junior engineers through review and support.
  • Communicate clearly in cross-functional technical discussions.
  • Mentor and share knowledge to strengthen team capability and promote adoption of repeatable, standardized approaches.
 

How Work is Done

HDE3 contributors execute moderately complex technical work with minimal oversight, applying strong judgment and adhering to REDi standards for pipelines, datasets, and documentation. They balance accuracy, efficiency, and delivery timelines while proactively communicating progress and risks.

Expectations for how work is performed:

  • Execute assigned engineering tasks reliably, applying judgment to moderately complex challenges.
  • Apply consistent standards for quality, documentation, and organization.
  • Collaborate proactively with peers, senior engineers, and delivery teams.
  • Communicate progress, risks, and issues clearly and professionally.
  • Mentor junior contributors and share knowledge to strengthen team capability.

Experience That Will Help You Be Successful

  • Typically 4–7 years of related data engineering or analytics experience.
  • Strong SQL and Python skills; experience with modern data stack tools.
  • Working understanding of healthcare revenue cycle, claims data, and EHR data systems.
  • Experience with reusable datasets, pipeline QA, and structured documentation practices.
  • Demonstrated ability to troubleshoot and resolve moderately complex technical issues.
  • Ability to apply healthcare data context to pipelines and datasets.

Final Word

This role is for a data engineer ready to take greater accountability for technical deliverables, contribute to scalable and repeatable data practices, and support trusted analytics delivery. If you’re motivated by solving moderately complex technical challenges, mentoring others, and improving REDi’s delivery foundation, we’d love to talk.

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.


Apply

 

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