Data Engineer

Data EngineerThe Fund for Public Health in New York City (FPHNYC) is a 501(c)3 non-profit organization 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.We embrace a culture of learning, collaboration, innovation, and well-being, where open communication drives our impact.The Center for Population Health Data Science (CPHDS)- launched in October of 2023- aims to catalyze critical data modernization work and enable the agency to make progress toward linking public health, healthcare, and social service for timely and effective public action. We are working towards making these data more accessible, timely, equitable, meaningfully usable, and protected and actively used to protect and promote the health and wellbeing of New Yorkers. We aim to strengthen agency wide data capabilities by empowering our workforce, enhancing intra- and inter-agency data sharing, and using modern technology to yield trusted and integrated data and insights. A real-time and comprehensive view of city needs is needed to enhance public health actions and improve health outcomes for the most vulnerable New Yorkers.POSITION OVERVIEWWe 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.RESPONSIBILITIES• 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 modelsPropose and implement improvements to the DOHMH data science infrastructure and processesQUALIFICATIONS3+ years of hands-on experience with Python version 3.x3+ years of hands-on experience with SQL databases3+ years of hands-on experience with mathematical, statistical, machine learning, or artificial intelligence models in Python2+ years of hands-on experience performing data science tasks using cloud-based technologies2+ years of experience building Python applications that leverage cloud-based technologies such as docker or Azure Container Apps or Azure App Service3+ years of Data Lake analytics platforms such as Azure Synapse or DatabricksStrong organization and time management skillsGood written and verbal communication skillsAbility to work independently as well as part of a teamUndergraduate degree or certificate in Data Science, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Computer Science, Computer Engineering, Electrical Engineering, Physics, or a similar field of studyPREFERRED SKILLS:5+ years of experience performing data science tasks using cloud-based technologies5+ years of hands-on experience in Python3+ years of experience building applications in Python web frameworks such as FastAPI, Django, or Flask3+ years of experience using ETL platforms such as Azure Data Factory or AirflowGraduate degree in Data Science, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Computer Science, Computer Engineering, Electrical Engineering, Physics, or a similar field of studyBenefits/ Additional Information:Public Service Loan Forgiveness (PSLF) eligible employerGenerous Paid Time Off (PTO) policyMedical, dental, and life insurance with low or no employee contributionA retirement savings plan with generous employer contributionFlexible spending medical and commuter benefits planMeaningful work at an organization striving to advance health equity and social justiceEqual Employment Opportunity StatementFPHNY is an equal opportunity employer and prohibits discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status.At-Will Employment StatementEmployment with FPHNY is at-will, meaning that either the employee or the company may terminate the employment relationship at any time, with or without cause, and with or without notice. This job description does not constitute a contract of employment.Residency RequirementYou must live in the New York City Tri-state area (NY, NJ, CT) to be considered for a position at FPHNY.To ApplyClick "Apply Now" and upload an up-to-date resume, including relevant experience for the position.