10101 - Data Engineer

We are seeking to fill data engineer positions for integrating and analyzing data collected across critical agency systems. It is expected that each position will work 35 hours per week., * Provide data engineering and infrastructure configuration support for complex Python applications

• Aid migration of complex Python applications from on-premise environments to Azure including transformation of applications to cloud native architecture
• Build and oversee automated data extraction, transfer, and load processes to support analytics databases
• Build resources to ingest, extract, or analyze data housed in a data lake environment
• Design, build, and document scalable hybrid technology architecture using both on-premise and cloud resources on Azure
• Identify, explore, and help build emerging free, open source technologies
• Design, implement, test, deploy, update, and document statistical, machine learning, and deep learning models

Propose and implement improvements to the DOHMH data science infrastructure and processes

3+ years of hands-on experience with Python version 3.x 3+ years of hands-on experience with SQL databases 3+ years of hands-on experience with mathematical, statistical, machine learning, or artificial intelligence models in Python 2+ years of hands-on experience performing data science tasks using cloud-based technologies 2+ years of experience building Python applications that leverage cloud-based technologies such as docker or Azure Container Apps or Azure App Service 3+ years of Data Lake analytics platforms such as Azure Synapse or Databricks Strong organization and time management skills Good written and verbal communication skills Ability to work independently as well as part of a team Undergraduate degree or certificate in Data Science, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Computer Science, Computer Engineering, Electrical Engineering, Physics, or a similar field of study

PREFERRED SKILLS: 5+ years of experience performing data science tasks using cloud-based technologies 5+ years of hands-on experience in Python 3+ years of experience building applications in Python web frameworks such as FastAPI, Django, or Flask 3+ years of experience using ETL platforms such as Azure Data Factory or Airflow Graduate degree in Data Science, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Computer Science, Computer Engineering, Electrical Engineering, Physics, or a similar field of study

Pulled from the full job description

• Loan forgiveness
• Health insurance
• Retirement plan
• Paid time off
• Dental insurance
• Life insurance
• Commuter assistance, * Public Service Loan Forgiveness (PSLF) eligible employer
• Generous Paid Time Off (PTO) policy
• Medical, dental, and life insurance with low or no employee contribution
• A retirement savings plan with generous employer contribution
• Flexible spending medical and commuter benefits plan
• Meaningful work at an organization striving to advance health equity and social justice

The Fund for Public Health in New York City (FPHNYC) is a 501(c)3 non-profit organization that is dedicated to the advancement of the health and well-being of all New Yorkers. To this end, in partnership with the New York City Department of Health and Mental Hygiene (DOHMH), FPHNYC incubates innovative public health initiatives implemented by DOHMH to advance community health throughout the city. It facilitates partnerships, often new and unconventional, between government and the private sector to develop, test, and launch new initiatives. These collaborations speed the execution of demonstration projects, effect expansion of successful pilot programs, and support rapid implementation to meet the public health needs of individuals, families, and communities across New York City. Our Culture We embrace a culture of learning, collaboration, innovation, and well-being, where open communication drives our impact.