What are the responsibilities and job description for the Data Engineer – SQL, Apache Superset, Healthcare Analytics position at National Quality Systems?
Location: Remote (U.S.)
Employment Type: Full-time
About NQS
NQS is transforming clinical registries and revenue cycle intelligence. Our Registry Intelligence Suite empowers trauma teams, burn centers, and EGS programs with actionable insights that improve patient outcomes and financial integrity. We’re growing rapidly—partnering with over 150 hospitals nationwide—and building the most advanced, data-driven registry and RCM intelligence platform in the industry.
We are looking for a Data Engineer with deep SQL expertise and experience with Apache Superset to help us scale our analytics capabilities across trauma, burn, EGS, and revenue-cycle workflows. This is a high-impact role where your work will directly improve clinical care and help hospitals eliminate preventable harm and unbilled revenue. As a clinical registry company, our Data Engineers work closely with hospital clients, clinical stakeholders, and product teams to solve real-world challenges and drive value for our customers.
About The Role
As a Data Engineer at NQS, you will design and optimize the data pipelines, models, and dashboards that power our clinical insights and financial analytics. You’ll work closely with product, clinical, engineering, and customer-facing teams to ensure the accuracy, reliability, and performance of our data systems. You will also act as a technical partner for our customers, helping them translate clinical and operational needs into robust analytics solutions that improve efficiency, quality, and outcomes.
This role is ideal for someone who thrives in a fast-paced, mission-driven healthtech startup and wants to build technology that makes an immediate difference for clinicians, registrars, and hospital operations teams.
Key Responsibilities
Data Engineering & Pipelines
Employment Type: Full-time
About NQS
NQS is transforming clinical registries and revenue cycle intelligence. Our Registry Intelligence Suite empowers trauma teams, burn centers, and EGS programs with actionable insights that improve patient outcomes and financial integrity. We’re growing rapidly—partnering with over 150 hospitals nationwide—and building the most advanced, data-driven registry and RCM intelligence platform in the industry.
We are looking for a Data Engineer with deep SQL expertise and experience with Apache Superset to help us scale our analytics capabilities across trauma, burn, EGS, and revenue-cycle workflows. This is a high-impact role where your work will directly improve clinical care and help hospitals eliminate preventable harm and unbilled revenue. As a clinical registry company, our Data Engineers work closely with hospital clients, clinical stakeholders, and product teams to solve real-world challenges and drive value for our customers.
About The Role
As a Data Engineer at NQS, you will design and optimize the data pipelines, models, and dashboards that power our clinical insights and financial analytics. You’ll work closely with product, clinical, engineering, and customer-facing teams to ensure the accuracy, reliability, and performance of our data systems. You will also act as a technical partner for our customers, helping them translate clinical and operational needs into robust analytics solutions that improve efficiency, quality, and outcomes.
This role is ideal for someone who thrives in a fast-paced, mission-driven healthtech startup and wants to build technology that makes an immediate difference for clinicians, registrars, and hospital operations teams.
Key Responsibilities
Data Engineering & Pipelines
- Design, develop, and optimize complex SQL queries to support registry analytics, charge reconciliation algorithms, and clinical/financial dashboards.
- Build and maintain ETL/ELT pipelines that support trauma, burn, EGS, and RCM data workflows.
- Ensure high data quality, consistency, and reliability across multiple hospital data sources.
- Serve as a technical expert for hospital registry and revenue cycle customers, assisting them in onboarding, data integration, and ongoing analytics enhancements.
- Collaborate with clinical subject matter experts, product managers, and customer success teams to deliver custom dashboards and analytics modules using Apache Superset.
- Gather feedback, train users, and build solutions that address unique clinical and operational requirements for each customer.
- Develop, customize, and maintain dashboards and analytics modules using Apache Superset.
- Partner with clinical SMEs, product managers, and customer success teams to deliver high-impact dashboards for trauma program performance improvement, financial validation, and quality reporting.
- Ensure all data handling meets or exceeds regulatory standards including HIPAA, SOC 2, and hospital security requirements.
- Implement data validation, auditing, and documentation best practices.
- Diagnose and resolve performance bottlenecks across SQL systems, ETL pipelines, and visualization environments.
- Advocate for scalable design as we grow from 100 hospitals to 700 by 2028.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
- 5 years of hands-on SQL engineering experience with strong query optimization skills.
- Proven experience deploying, customizing, and maintaining dashboards in Apache Superset.
- Strong understanding of relational databases (PostgreSQL preferred).
- Experience working with healthcare data types such as trauma registry data, EHR extracts, HL7, FHIR, or claims datasets.
- Knowledge of healthcare privacy and compliance standards (HIPAA, HITRUST, SOC 2).
- Excellent communication skills, with the ability to present technical concepts to clinical and non-technical audiences; experience working directly with customers or clients in a technical capacity.
- Experience with Python or other scripting languages to support ETL or analytics workflows.
- Experience working with cloud platforms (AWS preferred) for data storage, pipelines, and access control.
- Familiarity with other BI tools such as Tableau, Looker, or Power BI.
- Experience in trauma registries, RCM, CDI, or hospital data ecosystems is a strong plus.
- Demonstrated ability to gather requirements, train users, and deliver customer-facing analytics solutions in a healthcare environment.
- Be part of a fast-growing, mission-driven company transforming the trauma registry and RCM landscape.
- Your work directly impacts clinical outcomes and hospital financial performance.
- Work with a highly skilled engineering and clinical leadership team.
- Competitive compensation, stock options, full benefits, and opportunities for career advancement.
- A culture centered on innovation, integrity, and improving care for trauma patients nationwide.
