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Healthcare Data Engineer
2 weeks ago
Would you like to work with a phenomenal startup team developing a healthcare platform that facilitates meaningful engagement across care teams? If so, you have an opportunity to activate patient based interventions to prevent hospital readmissions and promote long-term health for patients.
We are seeking a Healthcare Data Engineer to build robust, efficient data pipelines and infrastructure for the healthcare technology platform. You'll be integral in ensuring reliable data flows between applications and healthcare systems, enabling analytics and AI-driven decision-making.
Key Responsibilities
- Optimize database systems and data storage solutions for performance, reliability, and scalability.
- Manage data quality, accuracy, and compliance with healthcare standards (HL7,FHIR) and regulatory requirements (HIPAA).
- Design, build, and maintain scalable ETL pipelines for healthcare data integration from diverse EMR sources.
- Partner with AI engineers, software developers, and clinical teams to ensure data readiness and accessibility for analytics.
- Implement monitoring systems to ensure data integrity and proactively resolve pipeline issues.
Experience
- Bachelor's degree (B.A. or B.S.) in Computer Science, Data Science, Biomedical Informatics, or a related technical field required; Master's or Ph.D. preferred — or equivalent experience.
- 4+ years in data engineering, with at least 2 years specifically in healthcare technology.
- Deep proficiency in ETL tools, big data frameworks (Spark, Hadoop), SQL/NoSQL databases, and AWS cloud services.
- Experience with healthcare data formats (HL7, FHIR) and interoperability.
- Strong understanding of data security, privacy, and healthcare-specific regulations(HIPAA, HITRUST).
- Strong analytical skills and ability to resolve complex data engineering challenges efficiently.
- Optional: AWS Data Engineer Cert and/or hands-on experience supporting AI and Machine Learning workflows.
