Machine Learning & Data Engineer, Bureau of Data Technology & Strategy
Core
Build and maintain scalable, secure data pipelines and platforms to support real-time and batch data ingestion, processing, and analysis for public health, healthcare, and social service data integration.
Role type
Senior Machine Learning & Data Engineer (Public Health)
Builds
Integrated data pipelines, analytics platforms, and simulation models for public health action.
Domain
Public Health / Data Engineering / Health Informatics
Deliverable
production ML models
Required skills
Data pipeline development, cloud data solutions (Azure/AWS/GCP), Python/R programming, Linux systems, big data technologies (Hadoop/Spark), data governance, health informatics standards (HL7/FHIR), simulation modeling (agent-based, discrete event, system dynamics), scenario analysis.
Preferred skills
Population-level health outcome modeling, infectious disease transmission modeling, behavioral dynamics modeling, mentoring junior staff, project management, stakeholder collaboration. (via careerplan.io/jobs/3743990015879716-machine-learning-data-engineer-bureau-of-data-technology-strategy-at-city-of-new-york)
Technologies
Azure, AWS, GCP, Python, R, Linux, Hadoop, Spark, HL7, FHIR
Responsibilities
Develop and maintain scalable data pipelines for diverse internal and external data sources; collaborate with data stewards to integrate public health data standards; guide selection and implementation of cutting-edge data technologies; promote data governance, quality, and security best practices; translate modeling outputs into actionable insights for stakeholders.
Seniority
Senior, hands-on IC with mentorship responsibilities
