Impact Data Engineer - Hybrid (Azure, ML)

Fund for Public Health in NYC; New York (NY); Hybrid; USD 130,000 - 135,000; Full time

Benefits offered by this job

PSLF eligible

Generous PTO

Insurance

Retirement plan

Flexible benefits

Job summary

Fund for Public Health in NYC (FPHNYC) seeks a Data Engineer to join the Center for Population Health Data Science. The role focuses on integrating and analyzing data from agency systems, supporting 35 hours per week in a hybrid office setting in New York City.

You will migrate applications to Azure, build data pipelines, and develop scalable data architectures while collaborating with a Data Scientist and other stakeholders to advance public health data capabilities.

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 AI 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

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

Skills

Python

SQL

Machine Learning

Cloud computing

Docker

Azure

Azure Synapse

Databricks

Airflow

Education

Undergraduate degree in Data Science or related field

Tools

Azure Synapse

Databricks

Docker

Azure Container Apps

Azure App Service

FastAPI

Django

Flask

Azure Data Factory

Airflow

Job description

Fund for Public Health in NYC (FPHNYC) seeks a Data Engineer to join the Center for Population Health Data Science. The role focuses on integrating and analyzing data from agency systems, supporting 35 hours per week in a hybrid office setting in New York City.

You will migrate applications to Azure, build data pipelines, and develop scalable data architectures while collaborating with a Data Scientist and other stakeholders to advance public health data capabilities.