Sr. Data Engineer

The Sr. Data Engineer will design and implement robust data pipelines to support the development of a Healthcare analytics data platform for a variety of healthcare applications and AI models.

Requirements

• Design, implement, and optimize ETL/ELT pipelines to support data ingestion and transformation from diverse healthcare data sources.
• Develop and maintain scalable data pipelines for real-time and batch processing to meet traditional BI applications and AI/ML needs.
• Manage and optimize a variety of databases, including Postgres, NoSQL, graph databases, and cloud-based databases like Snowflake and Redshift.
• Collaborate with data scientists and AI engineers to create datasets for a variety of use cases.
• Apply knowledge of healthcare data standards such as HL7 and FHIR, ensuring adherence to HIPAA compliance and other regulatory requirements.
• Address challenges related to unstructured data extraction and large-scale data ingestion in EMR/EHR systems.
• Stay updated with emerging technologies and frameworks in data engineering, AI, and healthcare.
• Contribute to the continuous improvement of processes and tools within the data engineering team.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Tuition Reimbursement
• Relocation Assistance