Data Engineer II: Surgical Intelligence & Pipelines

Mount Sinai; United States; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Mount Sinai is seeking a Data Engineer to design and maintain data pipelines for surgical datasets, including operative video, ensuring quality, traceability, and accessibility for analytics and AI across clinical research.

You will collaborate with surgeons, engineers, and researchers to translate clinical needs into technical requirements, while working in a hybrid setting on the Mount Sinai campus. Prior healthcare data experience is highly valued.

Qualifications

• 4+ years of professional development experience, preferably in a Linux environment.
• Experience with healthcare data systems and interoperability.
• Familiarity with Epic Clarity, Caboodle, OMOP, FHIR, HL7; familiarity with clinical coding systems (ICD-10, CPT, LOINC, RxNorm).
• Experience with regulated data environments (HIPAA) and data governance practices preferred.
• Experience with data integration across heterogeneous sources (EHR + imaging + research datasets) preferred.
• Experience with video data or large unstructured datasets preferred.

Responsibilities

• Design, build, and maintain data pipelines for surgical datasets, including structured data and operative video.
• Support ingestion, organization, curation, and access control for an operative video repository.
• Collaborate with clinical and research teams to define data schemas, metadata standards, and labeling conventions.
• Ensure data quality, traceability, and reproducibility across projects.
• Build durable data pipelines and organizational structures that support ongoing research and clinical deployment, rather than one-off analyses.
• Support execution of research and clinical AI projects across the Department of Surgery.
• Track project milestones, deliverables, and documentation.
• Maintain datasets, technical documentation, and shared resources.
• Coordinate with engineers, clinicians, and institutional partners to ensure smooth project execution.
• Engage with surgical teams to understand clinical workflows and data generation processes.
• Translate clinical needs into technical requirements and actionable tasks.
• Identify and resolve data-related bottlenecks affecting research and deployment efforts.

Skills

SQL/NoSQL databases

Scala/Python/Java

RESTful services

Big data tech

Cloud platforms

HIPAA/compliance

Agile/JIRA

Healthcare data experience

Education

Bachelor's in Computer Science or related

Advanced degree preferred

Tools

Oracle

PostgreSQL/MySQL

MongoDB

Job description

Mount Sinai is seeking a Data Engineer to design and maintain data pipelines for surgical datasets, including operative video, ensuring quality, traceability, and accessibility for analytics and AI across clinical research.

You will collaborate with surgeons, engineers, and researchers to translate clinical needs into technical requirements, while working in a hybrid setting on the Mount Sinai campus. Prior healthcare data experience is highly valued.