Pay
In line with similar jobs
$130K–$135K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
42-08 28th Ave, Astoria, NY 11103, USA
Open 3 months, first seen by us 90 days agoSalary: $130,000 - $135,000 FLSA Classification: ExemptRead the full posting
Equal Employment Opportunity Statement FPHNY is an equal opportunity employer and prohibits discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status. At-Will Employment Statement Employment with FPHNY is at-will, meaning that either the employee or the company may terminate the employment relationship at any time, with or without cause, and with or without notice. This job description does not constitute a contract of employment. Residency Requirement You must live in the New York City Tri-state area (NY, NJ, CT) to be considered for a position at FPHNY. To Apply Click “Apply Now” and upload an up-to-date resume, including relevant experience for the position.Read the full posting
Build and oversee automated data extraction, transfer, and load processes
Design and document hybrid on-premise and Azure cloud architecture
Migrate complex Python applications from on-premise to Azure cloud-native
Design, test, and deploy statistical, machine learning, and deep learning models
Build resources to ingest, extract, or analyze data in a data lake
Build and oversee automated data extraction, transfer, and load processes to support analytics databases
Design, build, and document scalable hybrid technology architecture using both on-premise and cloud resources on Azure
Aid migration of complex Python applications from on-premise environments to Azure including transformation of applications to cloud native architecture
Design, implement, test, deploy, update, and document statistical, machine learning, and deep learning models
Build resources to ingest, extract, or analyze data housed in a data lake environment
Open 3 monthsWe first saw this posting 90 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$130K–$135K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 90
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 11,032 similar postings that came down. Coming down is not always a hire.
2 open jobs
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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 •
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 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 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 Benefits/ Additional Information:
Design, build, and document scalable hybrid technology architecture using both on-premise and cloud resources on Azure •
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Salary: $130,000 - $135,000 FLSA Classification: Exempt
42-08 28th Ave, Astoria, NY 11103, USA
Direct Reports Title(s): Data Scientist Schedule & Hours: M-F, 9am –5pm ; 35 hours per week; Workplace Flexibility Modality: Hybrid, 3 days in office Work Environment: Office Environment, occasional travel for meetings and presentations within the NYC boroughs.
More relevant text appears in the full description.
No clear work-authorization passage found. Eligibility is unconfirmed.