Healthcare Data Engineer -HDE2

Healthcare Data Engineer -HDE2 at REDi Health Analytics LLC Healthcare Data Engineer -HDE2 at REDi Health Analytics LLC in Cambridge, Massachusetts Posted in about 4 hours ago.

Type:

full-time

Job Description:

Healthcare Data Engineer (HDE2 Intermediate)

Location:

State of Nebraska Travel:

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 strengthen operational, financial, and clinical outcomes through trusted, high-quality data. The Healthcare Data Engineer (HDE2) delivers reliable data engineering outputs that support REDis 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.

Youll 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 Youll HaveA 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 OnThe primary areas of focus will be:

Data Pipeline Support & ExecutionAssist with routine data ingestion and processing tasks using established methods and workflowsSupport scheduled jobs and recurring data refreshes with limited supervisionMonitor basic pipeline outputs and promptly escalate failures or missing inputsData Preparation & QualitySupport cleaning, formatting, and standardization of healthcare datasets according to REDi standardsPerform basic validation checks to ensure accuracy before review by senior team membersFollow REDi conventions for naming, organization, and documentationScalable Data EnablementContribute to early-stage reusable datasets and structured tables with guidance from more senior engineersLearn foundational concepts of data modeling, pipeline design, and data quality best practicesCollaboration & Delivery SupportProvide clear internal status updates and communicate blockers proactivelySupport engagement delivery through dependable technical execution and adherence to team standards. How Work is DoneA 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 SuccessfulTypically, 24 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 WordThis 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. recblid bhhd8dtx7ctx4cygdcmvtv63bae0w6