Data Engineer

Fund for Public Health in NYC; New York (NY); Hybrid; USD 125,000 - 128,000; Full time

Benefits offered by this job

Public Service Loan Forgiveness (PSLF)

Generous PTO

Medical, dental, and life insurance

Retirement savings plan

Flexible spending medical and commuter

Meaningful work

Job summary

Fund for Public Health in NYC is hiring a Data Engineer with the Department of Health and Mental Hygiene to advance data integration and analytics across agency systems. This 35-hour weekly position is hybrid, requiring three days in the office.

You will build data pipelines, migrate Python apps to Azure, and develop scalable data architectures using Azure Synapse and Databricks, while collaborating with a multidisciplinary team.

Qualifications

• 3+ years Python 3.x experience.
• 3+ years SQL experience.
• 3+ years ML/AI models in Python.
• 2+ years cloud-based data science tasks.
• 2+ years building Python apps with Docker or Azure.
• 3+ years Data Lake analytics (Azure Synapse/Databricks).
• Strong organization and time management.
• Good written and verbal communication.
• Ability to work independently or in a team.
• Undergraduate degree in Data Science, Mathematics, CS, or similar field.

Responsibilities

• Provide data engineering and infra configuration for Python apps.
• Aid migration of Python apps to Azure and cloud-native architecture.
• Build and oversee automated ETL data pipelines.
• Ingest, extract, or analyze data in a data lake environment.
• Design scalable hybrid architecture on Azure.
• Identify and adopt emerging open source technologies.
• Design, test, deploy, and document ML/DL models.
• Propose improvements to DOHMH data science infrastructure.

Skills

Python

SQL

ML in Python

Cloud technologies

Docker / Azure

Azure Synapse / Databricks

Communication

Teamwork

Education

Undergraduate degree in Data Science/CS

Graduate degree preferred

Tools

Docker

Azure Data Factory

Airflow

Azure Synapse

Databricks

Job description

Data Engineer

Department of Health and Mental Hygiene

Center for Population Health and Data Science

Data Technology and Strategy

42-09 28th St, Long Island City, NY 11101

Mark Alexander

Data Scientist

M-F, 9am –5pm ; 35 hours per week;

Hybrid, 3 days in office

Office Environment, occasional travel for meetings and presentations within the NYC boroughs.

6/30/2027

6/4/2026

Salary: $125,000 - $128,000

Exempt

Who We Are

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

Benefits/ Additional Information

• 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

Equal Employment Opportunity Statement

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.

At‑Will Employment Statement

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.

Residency Requirement

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