National Quality Systems

Data Engineer – SQL, Apache Superset, Healthcare Analytics

National Quality Systems

full-time

Posted on:

Location Type: Remote

Location: Remote • Florida • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

ApacheETLPostgresSQL

About the role

  • 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.

Requirements

  • 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.
Benefits
  • Competitive compensation
  • Stock options
  • Full benefits
  • Opportunities for career advancement

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLETLELTquery optimizationApache Supersetdata validationdata auditingdashboard developmentrelational databasesperformance bottlenecks
Soft skills
communicationcollaborationcustomer successtrainingfeedback gatheringproblem-solvingtechnical expertisescalable designpresentation skillsinterpersonal skills