The Center for Population Health Data Science (CPHDS), established to catalyze data modernization and link public health, healthcare, and social service data for timely public action, seeks a Machine Learning & Data Engineer to advance data infrastructure and analytics for the NYC Department of Health and Mental Hygiene. The role focuses on building integrated data pipelines, enabling real-time and batch data ingestion from diverse sources, and ensuring data governance, quality, and security across the bureau.

Responsibilities include: - Support the development of integrated data pipelines to facilitate data exchange, analysis, surveillance, and reporting. - Collaborate with public health data stewards to translate data requirements for health informatics into integrated data architectures. - Develop and maintain scalable, secure data pipelines and platforms to support real-time and batch data ingestion and processing from diverse internal and external sources. - Guide selection and implementation of cutting-edge data technologies to enhance analytics and data science capabilities. - Promote data governance, quality, and security practices, ensuring compliance with applicable regulations and standards. - Collaborate with internal and external stakeholders to align data infrastructure improvements with the needs of diverse units.

Qualifications and skills: - 4+ years of experience in data engineering; building and managing scalable data pipelines. - Experience with cloud-based data solutions (Azure, AWS, GCP); programming in Python or R; Linux; and big data technologies (H

The Center for Population Health Data Science (CPHDS), established to catalyze data modernization and link public health, healthcare, and social service data for timely public action, seeks a Machine Learning & Data Engineer to advance data infrastructure and analytics for the NYC Department of Health and Mental Hygiene. The role focuses on building integrated data pipelines, enabling real-time and batch data ingestion from diverse sources, and ensuring data governance, quality, and security across the bureau.

Responsibilities include: - Support the development of integrated data pipelines to facilitate data exchange, analysis, surveillance, and reporting. - Collaborate with public health data stewards to translate data requirements for health informatics into integrated data architectures. - Develop and maintain scalable, secure data pipelines and platforms to support real-time and batch data ingestion and processing from diverse internal and external sources. - Guide selection and implementation of cutting-edge data technologies to enhance analytics and data science capabilities. - Promote data governance, quality, and security practices, ensuring compliance with applicable regulations and standards. - Collaborate with internal and external stakeholders to align data infrastructure improvements with the needs of diverse units.

Qualifications and skills: - 4+ years of experience in data engineering; building and managing scalable data pipelines. - Experience with cloud-based data solutions (Azure, AWS, GCP); programming in Python or R; Linux; and big data technologies (H