Data Engineer

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.

Program Overview

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 OVERVIEW

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.

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 models

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

QUALIFICATIONS

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

• 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

FPHNY 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.

Employment 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.

You must live in the New York City Tri-state area (NY, NJ, CT) to be considered for a position at FPHNY.

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