Senior Healthcare Data Engineer

Dice is an award-winning, AI-driven healthcare technology company that's transforming how multi-location healthcare organizations leverage data to make smarter business decisions. As a Senior Healthcare Data Engineer, you'll work at the intersection of healthcare data, engineering, and analytics, ensuring the quality and reliability of data for critical business reporting.

Responsibilities:

• Profile and validate data from Electronic Health Record (EHR) and Practice Management (PMS) systems
• Analyze complex healthcare datasets to determine completeness, consistency, and reporting readiness
• Design data mapping and normalization logic across disparate source systems
• Partner with engineering to build and enhance production ETL and data ingestion pipelines
• Develop automated monitoring, reconciliation, and data quality validation processes
• Collaborate with external vendors and integration partners to resolve data issues
• Help establish best practices, reusable tooling, and scalable processes for future integrations

Requirements:

• 5+ years of experience in Data Engineering, Analytics Engineering, Data Science, or Data Quality Engineering
• Expert-level SQL skills
• Strong Python experience, including pandas or similar data processing libraries
• Experience building or supporting ETL pipelines and data ingestion workflows
• Strong understanding of relational databases, data modeling, and schema design
• Ability to investigate complex data quality issues and communicate technical findings clearly
• Experience working with cloud data platforms such as Snowflake, AWS, S3, or similar technologies
• Healthcare data experience involving EHR, EMR, Practice Management Systems, clinical, financial, or claims data
• Knowledge of FHIR or healthcare interoperability standards
• Experience working with HIPAA-protected data
• Familiarity with healthcare integration platforms or third-party data aggregators