10101 - Data Engineer
$125,000–$128,000 year
HybridQueens, New York, United States
Job Summary
Provide data engineering and infrastructure configuration support for complex Python applications, including migrating them from on-premise environments to Azure cloud-native architecture. Build and oversee automated data extraction, transfer, and load processes to support analytics databases, while designing scalable hybrid technology architectures using both on-premise and cloud resources. Develop resources to ingest, extract, or analyze data housed in a data lake environment and implement statistical, machine learning, and deep learning models. Propose and implement improvements to the DOHMH data science infrastructure and processes to enhance intra- and inter-agency data sharing. Work 35 hours per week in a hybrid role with occasional travel within NYC boroughs.
Required 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 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
- Must live in the New York City Tri-state area (NY, NJ, CT)
Desired Qualifications
- 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
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