Data Engineer - Data & Analytics
About The Position
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 academic medical centers in the region and around the world. Our work to improve health outcomes in underserved communities is unparalleled in the United States. Our workforce is among the most diverse in the US: Montefiore associates speak 60+ languages. As Montefiore has built paths to deliver lifesaving health outcomes to underserved communities, we are looking to the future of being a data driven organization and tech-enabled care delivery to create better experiences for patients, providers, and operations teams. Montefiore is actively investing in its data & analytics driven solutions as a new system-level priority, and we are seeking data experts who are excited to create a tangible impact with the healthcare system. The Senior Data Engineer role within the data engineering vertical will play a pivotal role at the forefront of our data and analytics technology transformation initiatives. We are seeking for an expert senior data engineer to build, enhance, and support a wide variety of data pipelines integrating data feeds from diverse internal and external sources. You will enhance our suite of enterprise data products supporting business cases across the Montefiore health system. This role will work with complex data solutions in a fast-paced, rapidly evolving landscape answering critical business and clinical questions. This role is critical to scaling our data and insights capabilities, empowering teams with actionable insights, and supporting our mission to improve Patient healthcare.
Requirements
- Minimum of 12+ years of rich experience in data engineering, modern data architecture patterns, developing and supporting high-volume data pipelines, while ensuring data availability and accuracy
- At least 4+ years of solid experience in Snowflake development, and SQL is a must.
- Experience with cloud-based ELT Toolsets like Matillion, dbt cloud and data transformation components using Python SDK
- Expertise in translating complex clinical, operational, financial, and administrative datasets into enterprise-grade data products, data modeling techniques, and performance analysis & tuning.
- Experience with AWS Cloud, S3, DevOps and Git management
- Bachelor’s or master’s degree in computer science, Engineering or similar, or equivalent experience.
Nice To Haves
- Experience with EPIC Cogito Analytics stack (Clarity, Caboodle etc.) is preferred
- Knowledge in healthcare preferably in a health system domain
Responsibilities
- Design, build, and automate robust, scalable data pipelines for ingesting, transforming, and loading both structured and unstructured data from diverse internal and external data sources
- Design, Develop and support data models and schemas to support data integration and analysis
- Promote and uphold data engineering best practices, standards, and data governance throughout the organization.
- Implement CI/CD pipelines and best practices for data engineering assets, supporting robust deployment, monitoring, and version control.
- Design and implement of rules driven data quality components that supports enhanced observability, transparency, and robust remediation workflows, enabling rapid identification and resolution of data issues
- Collaborate with product managers, data scientists, BI developers, and application teams, to understand data requirements and translate them into technical solutions
- Mentor early-career team members, fostering collaboration, knowledge-sharing, and professional growth
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What This Job Offers
Job Type
Full-time
Career Level
Senior
