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Data Engineer

42-08 28th Ave, Astoria, NY 11103, USA

Open 3 months, first seen by us 90 days ago
Pay
$130,000–135,000/yearAnnual period assumed — pay source
Salary: $130,000 - $135,000 FLSA Classification: Exempt
Read the full posting
Work setting
Not stated
Employment
Not stated

Before you apply

Eligibility
Residency Requirement You must live in the New York City Tri-state area (NY, NJ, CT) to be considered for a position at FPHNY. — eligibility source
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

What you’ll work on

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

From the employer’s posting
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

Posting record

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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.

Status in our records
Live
First seen by us
Aug 7, 202690 days ago
Recorded sightings
95
Last seen by us
Nov 5, 2026
Employer says posted
Aug 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Time since we first saw it

Day 90

Up longer than most. Similar jobs usually come down between day 6 and day 54.

From 11,035 similar postings that came down. Coming down is not always a hire.

FPHNY Recruitment Team is hiring

2 open jobs

  • No new data jobs since August
  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Azure
  • Databricks
  • Docker
  • Airflow
  • Django
  • FastAPI
  • Flask
Where the posting names them
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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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

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.

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

Job Title: Data Engineer Department: Department of Health and Mental Hygiene Division: Center for Population Health and Data Science Bureau: Data Technology and Strategy Location: 42-09 28th St, Long Island City, NY 11101  Reports to Title: Mark Alexander 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.  Grant End Date: 6/30/2027 Created Date: 6/4/2026 Revised Date:  6/4/2026 Salary: $130,000 - $135,000   FLSA Classification: Exempt   Who We Are The Fund for Public Health in New York City (FPHNYC) is a 501(c)3 non-profit organization that is dedicated to the advancement of the health and well-being of all New Yorkers.  To this end, in partnership with the New York City Department of Health and Mental Hygiene (DOHMH), FPHNYC incubates innovative public health initiatives implemented by DOHMH to advance community health throughout the city. It facilitates partnerships, often new and unconventional, between government and the private sector to develop, test, and launch new initiatives. These collaborations speed the execution of demonstration projects, effect expansion of successful pilot programs, and support rapid implementation to meet the public health needs of individuals, families, and communities across New York City. Our Culture We embrace a culture of learning, collaboration, innovation, and well-being, where open communication drives our impact.   Program Overview The Center for Population Health Data Science (CPHDS)- launched in October of 2023- aims to catalyze critical data modernization work and enable the agency to make progress toward linking public health, healthcare, and social service for timely and effective public action. We are working towards making these data more accessible, timely, equitable, meaningfully usable, and protected and actively used to protect and promote the health and wellbeing of New Yorkers. We aim to strengthen agency wide data capabilities by empowering our workforce, enhancing intra- and inter-agency data sharing, and using modern technology to yield trusted and integrated data and insights. A real-time and comprehensive view of city needs is needed to enhance public health actions and improve health outcomes for the most vulnerable New Yorkers.   POSITION OVERVIEW 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.   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   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: 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   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.
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Pay
Salary: $130,000 - $135,000 FLSA Classification: Exempt
Location & working pattern

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.

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