Senior Data Engineer - Marketing Data at Northwell Health

Location: New Hyde Park, NY

Cap-Exempt H-1B Position — No lottery required

Job Description Works directly with the Data Science and Predictive Analytics team to advance data engineering and infrastructure within Northwell, as well as migrate and support machine learning projects in production. Defines and builds the next iteration of features for the Data Science team and is responsible for modifying, expanding, and optimizing our data warehousing to include feature stores, big data, and cloud technologies. Works collaboratively with members from both the Information Technology and clinical functions to support data scientists, systems and initiatives at both the department and the enterprise level. Job Responsibility - Manages and coordinates implementation of systems and processes to meet user requirements; communicates with user departments and project teams regarding implementation activities and system changes to ensure feasibility; develops system specifications that appropriately meet department requirements. - Builds and maintains infrastructure for data management and assembles datasets from disparate sources to meet team requirements. - Maintains data acquisition process and data pipelines; verifies data quality, and/or ensures it via data cleaning and processing. Develops and optimizes ETL processes, implements transformations and quality checks results. - Designs, develops, and maintains data pipelines between serves, databases, and other sources to support Data Science research and development and production pipelines. - Identifies, designs, and implements process improvements for optimization, efficiency, greater scalability, and automation. - Develops and shares best practices for code quality, versioning, repository, documentation, and data flows among the Data Science team. - Assists data scientists, engineers, cloud architects, and subject matter advisors in testing, deploying, and maintaining artificial intelligence and machine learning algorithms. - Facilitates deployment of machine learning and other models to producti