Job Description

The Mount Sinai Program for Surgical Intelligence is seeking a Data Engineer to support the development and deployment of data-driven tools in surgical care. This role will focus on building and maintaining data pipelines, managing surgical datasets (including operative video), and supporting execution of technical and clinical research initiatives.

The Data Engineer will work closely with surgeons, engineers, and researchers to ensure surgical data is reliable, well-organized, and accessible for downstream analytics and machine learning applications. This is a hands-on role with significant responsibility and opportunities for growth. Prior experience working with healthcare data systems is strongly preferred, as this role will require immediate engagement with clinical datasets and interoperability challenges.

The role may be hybrid but will be partially on-site at the Mount Sinai Hospital campus on the Upper East Side of Manhattan. The position will be managed by surgeons within the Mount Sinai Department of Surgery who will serve as clinical experts and liaisons for real world application of the work, as well as information technology experts who will provide the appropriate technical resources to carry out the role successfully.

• 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
  

• Bachelors degree in Computer Science or a related discipline; Advanced degree preferred.
• 4+ years relevant professional development experience, preferably in a LINUX environment.
• Strong SQL and NoSQL Database Knowledge: Oracle, PostgreSQL/MYSQL, and Mongo DB (or similar).
• Proficiency with at least 2 programming languages among Scala/Python/ Java. Must be flexible and fast to pick up new languages.
• Proficiency in Restful service development, preferably with Node JS, Django and PHP.
• Experience with micro-services and SOA.
• Proficiency on installation and configuration of big data software and technology
• Knowledge of Hadoop, Spark, Kafka and other big data technology stacks and streaming tools.
• Familiarity with and the ability to leverage a wide variety of open source technologies and tools.
• Working knowledge of cloud architecture and implementation onAzure or AWS, is a big plus. Experience with serverless computing, creating VMs, cloud security, and other cloud services is also a big plus.
• Experience working in an Agile methodology. Experience working with JIRA is a plus.
• Strong organizational skills and ability to manage work in an evolving environment
• Effective communication skills with both technical and non-technical stakeholders
• Prior experience working with healthcare data, including electronic health record (EHR) systems, clinical registries, or medical imaging datasets preferred.
• Familiarity with healthcare data models and standards (such as Epic Clarity, Caboodle, OMOP, FHIR, HL7) and clinical coding systems (e.g., ICD-10, CPT, LOINC, RxNorm) preferred.
• Experience handling regulated data environments, including HIPAA-compliant workflows and data governance practices preferred.
• Experience with data integration across heterogeneous sources (e.g., EHR + imaging + research datasets) preferred.
• Experience with video data or large unstructured datasets preferred.
• Interest in building repeatable, well-documented data pipelines that support ongoing research and clinical deployment preferred.

Non-Bargaining Unit, 862 - Surgery - ISM, Icahn School of Medicine

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.