Healthcare Data Engineer -HDE3

Healthcare Data Engineer -HDE3 at REDi Health Analytics LLC Healthcare Data Engineer -HDE3 at REDi Health Analytics LLC in Cambridge, Massachusetts Posted in 12 days ago.

Type:

full-time

Job Description:

Healthcare Data Engineer (HDE3 Senior / Career Level)

Location:

State of NebraskaTravel:

Up to ~20% (U.S.)Our CultureOur 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 SuccessREDi Health partners with independent rural hospitals to help them operate sustainably through trusted, high-quality data. The Healthcare Data Engineer (HDE3) strengthens REDis 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 REDis delivery teams.

Youll 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 Youll HaveHDE3 contributors directly influence REDis 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 REDis 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 OnThe primary areas of focus will be:

Data Pipeline Ownership & Engineering DeliveryDevelop 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 SupportBuild 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 & SecuritySupport 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 EnablementTranslate 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 & MentorshipProvide 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 DoneHDE3 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 SuccessfulTypically 47 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 WordThis 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 youre motivated by solving moderately complex technical challenges, mentoring others, and improving REDis delivery foundation, wed 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. recblid 8xiznwlg8nzxo30nr7mzohe5p4uwrd