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Data Engineer

  • Hybrid
  • 3-6 years

Salary

Not stated

Similar roles pay $115K - 190K a year · our estimate

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Description

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. We're tackling a broad range of public health issues with innovative policies and programs and geting exceptional results, but our work is never finished. The breadth of our innovative programs provides the widest range of choices for every member of our team.

Responsibilities

  • Provide data engineering and infrastructure configuration support for complex Python applications.
  • Aide 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.
  • 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.
  • 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
  • Why you should work for us:
  • Loan Forgiveness: As a prospective employee of the company, you may be eligible for federal/state loan forgiveness and repayment assistance programs that lessen your payments or even fully forgive your full balance. For more information, please visit the U.S. Department of Education’s website (https://studentaid.gov/pslf/)
  • Benefits: City employees are entitled to unmatched benefits such as:
  • o a premium-free health insurance plan that saves employees over $10K annually, per a 2024 assessment.
  • o additional health, fitness, and financial benefits may be available based on the position’s associated union/benefit fund.
  • o a public sector defined benefit pension plan with steady monthly payments in retirement.
  • o a tax-deferred savings program and
  • o a robust Worksite Wellness Program that offers resources and opportunities to keep you healthy while serving New Yorkers.
  • Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home.
  • Job Security - you could enjoy more job security compared to private sector employment and be able to contribute to making NYC a healthy place to live and work.
  • Established in 1805, the New York City Department of Health and Mental Hygiene (NYC Health Department) is the oldest and largest health department in the U.S., dedicated to protecting and improving the health of NYC. Our mission is to safeguard the health of every resident and cultivate a city where everyone, regardless of age, background, or location, can achieve their optimal health. We provide a wide array of programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and social justice initiatives. As the primary population health strategist and policy authority for NYC, with a rich history of public health initiatives and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 pandemic, we serve as a global leader in public health innovation and expertise.
  • Come join us and help to continue our efforts in making a difference in the lives of all New Yorkers!
  • Commitment to Equity:
  • The company is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.
  • CITY RESEARCH SCIENTIST - 21744

Requirements

  • For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.
  • To be appointed to Assignment Level II and above, candidates must have:
  • A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or
  • A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or
  • Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above.
  • NOTE:
  • Probationary Period
  • Appointments to this position are subject to a minimum probationary period of one year.
  • Additional Information
  • The company is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.
  • Company Description

Where you’d work

Part of the week in the office

You can work from

  • United States

About the company

Company hidden

Office in NY, United States

Your chances

Likely still hiring, not crowded yet, and you'd be among the first.

  • 15 checks run
  • 4 good signs
  • 1 red flag

Still hiring?

10 checks

Likely active

In its favour2

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence

Against it1

  • No salary stated, though New York asks most employers to post oneModerate evidence

How crowded?

5 checks

Low

In its favour2

  • In its Early Window: not on the big job boards yetStrong evidence
  • Asks for Airflow, which only 1% of open roles doSlight evidence

Fits Me

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • Azure
  • Airflow
Type
Full-time
Equity
Equity offered
Specialty
Data Engineering
Region
United States
Pay period
Annual
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Experience
5+ years
Tech stack
  • Python
  • Azure
  • Airflow

Location

Work model
Hybrid
Region
United States
Office
  • NY, United States
Remote from
  • United States

Compensation

Salary
Salary by agreement
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

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