Data Engineer

FPHNY Recruitment Team; New York (NY); Hybrid; USD 110,000 - 140,000; Full time

Benefits offered by this job

PSLF eligibility

Generous PTO

Medical & life insurance

Retirement plan

Flexible benefits

Meaningful work

Job summary

Fund for Public Health in New York City (FPHNYC) is hiring a Data Engineer to integrate and analyze data across agency systems. The role focuses on enabling scalable data pipelines, cloud migrations, and ML-driven insights for health outcomes.

The candidate will work with Python, SQL, Databricks, and Azure tools in a hybrid NYC setting, contributing to public health initiatives and data modernization efforts.

Qualifications

• 3+ years Python 3.x experience.
• 3+ years SQL databases experience.
• 3+ years ML/AI model work in Python.
• 2+ years cloud-based data science tasks.
• 2+ years building Python apps using cloud tech such as Docker or Azure.
• 3+ years Data Lake analytics with Azure Synapse or Databricks.
• Strong organization and time management.
• Good written and verbal communication.

Responsibilities

• Provide data engineering and infrastructure configuration support for complex Python applications.
• Aid migration of Python apps from on-premise to Azure with cloud-native transformations.
• Build and oversee automated ETL processes for analytics databases.
• Ingest, extract, or analyze data in a data lake environment.
• Design scalable hybrid architecture using on-premise and Azure cloud resources.
• Explore and adopt emerging open source technologies.
• Design, implement, test, deploy, and document ML models.
• Propose improvements to DOHMH data science infrastructure.

Skills

Python

SQL

ML/AI in Python

Cloud-based data engineering

Docker/Azure App Service

Data Lake / Azure Synapse

Communication

Teamwork

Education

Undergraduate degree in data science or related field

Graduate degree preferred

Tools

Azure Data Factory

Airflow

Databricks

Docker

Job description

Posted Wednesday, August 5, 2026 at 4:00 AM

Job Title: Data Engineer

Department: Department of Health and Mental Hygiene

Division: Center for Population Health and Data Science

Bureau: Data Technology and Strategy

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

Reports to Title: Mark Alexander

Direct Reports Title(s): Data Scientist

Schedule & Hours: M-F, 9am –5pm ; 35 hours per week;

Workplace Flexibility Modality: Hybrid, 3 days in office

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

Grant End Date : 6/30/2027

Created Date: 6/4/2026

Revised Date: 6/4/2026

FLSA Classification: 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. Itfacilitates 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.