Data Engineer

FPHNY Recruitment Team • New York, NY

82d • $125,000 - $128,000 • Hybrid

About The Position

The Fund for Public Health in New York City (FPHNYC), in partnership with the NYC Department of Health and Mental Hygiene (DOHMH), seeks Data Engineers to integrate and analyze data collected across critical agency systems. The role is part of the Center for Population Health Data Science, which supports data modernization and aims to make public health, healthcare, and social service data more accessible, timely, equitable, usable, protected, and actionable. Each position is expected to work 35 hours per week.

The Data Engineer provides engineering and infrastructure support for complex Python applications, helps migrate applications from on-premise environments to Azure and transform them to cloud-native architecture, and builds data pipelines and resources for analytics and data-lake environments. The role also designs and documents scalable hybrid architecture, explores open-source technologies, develops and maintains statistical and machine-learning models, and proposes improvements to DOHMH data-science infrastructure and processes.

The position is hybrid, with three days in the office at 42-09 28th St, Long Island City, NY. The work environment is an office, with occasional travel for meetings and presentations within the NYC boroughs. The schedule is Monday through Friday, 9 a.m. to 5 p.m. The grant end date is June 30, 2027. Applicants must live in the New York City tri-state area (NY, NJ, or CT).

Requirements

• At least 3 years of hands-on experience with Python 3.x.
• At least 3 years of hands-on experience with SQL databases.
• At least 3 years of hands-on experience with mathematical, statistical, machine-learning, or artificial-intelligence models in Python.
• At least 2 years of hands-on experience performing data-science tasks using cloud-based technologies.
• At least 2 years of experience building Python applications that leverage cloud-based technologies such as Docker, Azure Container Apps, or Azure App Service.
• At least 3 years of experience with data-lake analytics platforms such as Azure Synapse or Databricks.
• Strong organizational and time-management skills.
• Good written and verbal communication skills.
• Ability to work independently and 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.
• Must live in the New York City tri-state area (NY, NJ, or CT).

Nice To Haves

• At least 5 years of experience performing data-science tasks using cloud-based technologies.
• At least 5 years of hands-on experience in Python.
• At least 3 years of experience building applications in Python web frameworks such as FastAPI, Django, or Flask.
• At least 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.

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 transforming 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 on-premise and Azure cloud resources.
• 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 DOHMH data-science infrastructure and processes.

Benefits

• Public Service Loan Forgiveness (PSLF) eligible employer.
• Generous paid time off policy.
• Medical, dental, and life insurance with low or no employee contribution.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level