Data Engineer - Research Informatics

City/StateYonkers, New YorkGrant FundedNoDepartmentIT - Data & Analytics Health Research InformaticsWork ShiftDayWork DaysMON-FRIScheduled Hours8:30 AM-5 PMScheduled Daily Hours7.5 HOURSPay Range$128,000.00-$160,000.00Montefiore Medical Center is nationally recognized for clinical excellence—breaking new ground in research, training the next generation of healthcare leaders, and delivering science-driven, patient-centered care. Montefiore is ranked among the top hospitals nationally and regionally by U.S. News & World Report. For more than 100 years, we have been innovating new treatments, procedures, and approaches to patient care, producing stellar outcomes, and raising the bar for medical centers in the region and worldwide. As we build on this momentum, we continue to advance the practice of medicine and set the standard for excellence. Our workforce is among the most diverse in the US: Montefiore associates speak 60+ languages.Position SummaryThe Data Engineer, Research Informatics plays a critical role in enabling data-driven clinical and translational research across Montefiore. This position is responsible for designing, building, and maintaining scalable data pipelines and research-ready datasets that integrate complex, multi-source healthcare and research data, including EHR systems, clinical registries, and external datasets.Working at the intersection of clinical care and scientific discovery, the Data Engineer develops robust data models and infrastructure to support key research use cases such as cohort identification, longitudinal patient tracking, clinical trials, and real-world evidence generation. This role emphasizes data quality, reproducibility, and compliance with regulatory standards, ensuring that data assets are reliable, secure, and suitable for research use.The Data Engineer will work closely with clinical researchers, biostatisticians, data scientists, and cross-functional teams to translate complex research and clinical questions into scalable data solutions. In addition, this role will collaborate side by side with data engineers across the broader Montefiore data organization, aligning with enterprise data standards, platforms, and best practices to ensure consistency, scalability, and interoperability across clinical, operational, and research domains.This role also contributes to the advancement of enterprise research data platforms, supporting secure data access, governance, and innovation in analytics to improve patient outcomes and accelerate scientific discovery.Key ResponsibilitiesDesign, build, and automate robust, scalable data pipelines for ingesting, transforming, and loading both structured and unstructured data from diverse internal and external sources, including EHR systems (e.g., Epic Clarity/Caboodle), clinical research systems, registries, and third-party research datasetsDesign, develop, and support data models and schemas to enable integration of clinical and research data, supporting use cases such as cohort identification, longitudinal patient tracking, and research analyticsImplement CI/CD pipelines and best practices for data engineering assets, ensuring reproducibility, version control, and reliable deployment of research data pipelines and datasetsDesign and implement rules-driven data quality frameworks that enhance observability, transparency, and auditability of research data, supporting compliance with regulatory and research standards (e.g., HIPAA, IRB protocols), and enabling rapid identification and remediation of data issuesDevelop and maintain research-ready datasets that support clinical trials, observational studies, population health research, and real-world evidence generationIntegrate and harmonize data across heterogeneous sources, including structured EHR data, unstructured clinical notes, imaging metadata, genomics, and patient-reported outcomes, to enable advanced analytics and data science workflowsCollaborate with product managers, clinical researchers, biostatisticians, data scientists, BI developers, and application teams to understand research and clinical questions, and translate them into scalable, high-quality data solutionsSupport secure data access, governance, and de-identification processes to enable compliant use of data for research purposes while protecting patient privacyContribute to the development and enhancement of enterprise research data platforms and data products that accelerate scientific discovery and improve patient outcomesRequired5+ years of experience in data engineering, with a focus on building and supporting scalable data pipelines and modern data architecturesStrong proficiency in SQL and experience with Snowflake or similar cloud data platformsExperience with ELT/ETL tools such as dbt, Matillion, or similar frameworks; proficiency in Python for data transformation and pipeline developmentExperience with AWS (S3, compute services), Git, and DevOps workflowsUnderstanding of data privacy, security, and regulatory considerations in a research environment (HIPAA, IRB, data use agreements)Bachelor’s or Master’s degree in Computer Science, Engineering, Biomedical Informatics, or a related fieldPreferredExperience working with healthcare and/or research data, including EHR systems (Epic Clarity, Caboodle preferred), clinical registries, or real-world data sourcesFamiliarity with research data standards and models (e.g., OMOP, FHIR, CDISC) is a plusMontefiore Health System, Inc. is an equal employment opportunity employer. Montefiore Health System, Inc. will recruit, hire, train, transfer, promote, layoff and discharge associates in all job classifications without regard to their race, color, religion, creed, national origin, alienage or citizenship status, age, gender, actual or presumed disability, history of disability, sexual orientation, gender identity, gender expression, genetic predisposition or carrier status, pregnancy, military status, marital status, or partnership status, or any other characteristic protected by law.