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# 10101 - Data Engineer

- **Company:** Fund for Public Health in New York City
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $125,000.0 - $128,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Business Analytics Applications, Data Analysis, Microsoft Azure, Cloud Computing, Databases, Computer Engineering, Information Engineering, Extract Transform Load (ETL), Data Mining, Django Web Framework, Python (Programming Language), Machine Learning, SQL Databases, Web Application Frameworks, Azure Data Factory, Flask (Web Framework), Deep Learning, Software Application Programming, Fastapi, Data Lakes, Information Technology, Azure Synapse Analytics, Docker, Databricks
- **Published:** August 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=132d275252ee1064

## About the Role

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

## Description

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., * 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


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