Data Integration Lead - Healthcare Data Infrastructure

Qualified Health is a company focused on transforming healthcare through Generative AI and innovative data solutions. They are seeking a Data Integration Lead to manage healthcare data integration initiatives, ensuring seamless transitions and high-quality data pipelines that support their AI platform.

Responsibilities:

• Own the complete data integration lifecycle: Manage timelines and coordinate all phases from initial data request validation through production deployment, ensuring smooth transitions at each stage
• Validate and prepare client-ready data requests: Work closely with internal teams to ensure data requirements are comprehensive, technically sound, and ready for client engagement
• Serve as primary technical liaison with health system partners: Collaborate with clients to reconcile data queries, address gaps identified during QC and backtesting, and guide them through the integration process
• Execute ETL operations: Perform extract, load, and transformation activities on healthcare data, ensuring accuracy and compliance with established standards
• Troubleshoot and resolve data quality issues: Identify, diagnose, and fix data transformation issues discovered during quality control and backtesting phases
• Build repeatable data pipeline solutions: Develop standardized, reusable data integration patterns that accelerate future implementations and ensure consistency
• Translate complex technical concepts: Present sophisticated data challenges and solutions clearly to varied audiences, including non-technical stakeholders during change transformation efforts
• Drive continuous improvement: Identify opportunities to enhance data integration processes, tools, and methodologies based on hands-on implementation experience

Requirements:

• 5+ years of experience in data analytics, data engineering, or solution delivery roles, with demonstrated expertise in data integration and ETL processes
• Strong analytical toolkit with proficiency in: PySpark for distributed data processing, Advanced SQL for data querying and transformation, Excel for data analysis and reporting
• Proven problem-solving capabilities: Track record of quickly processing complex information and presenting clear, simple solutions during technical implementations
• Client service orientation: Experience working directly with clients or stakeholders, with ability to manage expectations and deliver high-quality outcomes
• Operational mindset: Strong attention to detail, process discipline, and commitment to delivering reliable, production-grade solutions
• Outstanding communication skills: Ability to explain technical concepts to non-technical audiences and document processes thoroughly
• Healthcare industry experience: Prior work with healthcare data, EHR systems, or health system partners
• Deep interest in healthcare analytics: Genuine passion for improving patient care delivery through data-driven insights
• Familiarity with healthcare data standards: Knowledge of FHIR, HL7v2, or other healthcare interoperability formats
• Experience with Azure cloud services: Hands-on work with Azure Databricks, Data Factory, or related technologies
• Understanding of healthcare compliance: Awareness of HIPAA, HITRUST, or other healthcare regulatory requirements
• Data quality and validation expertise: Experience implementing data quality frameworks and validation processes
• Project management capabilities: Ability to manage multiple integration projects simultaneously and coordinate across teams
• Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, or related field