10101 - Data Engineer

FPHNY Recruitment Team • New York, NY

19d • $125,000 - $128,000 • Hybrid

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree