Data Engineer, Division Management & Systems Coordination

The Division of Disease Control's mission is to safeguard the health of New Yorkers through identification, surveillance, treatment, control, and prevention of infectious diseases, which is achieved through varied and interrelated endeavors of its seven Bureaus. The Bureau of Division Management & Systems Coordination (DMSC) leads administrative, surveillance, informatics, preparedness, policy, communications, community engagement, and racial equity and social justice activities for the Division and guides the strategic use of Division resources to advance innovative and effective policies and programs.

Reporting to the Data Unit Director and working with a team of data scientists and business analysists in DMSC as well as Disease Control program staff, you will be developing automated data exchange and quality control processes to assure the integration of Electronic Laboratory Reporting (ELR) and Electronic Case Reporting (ECR) data streams into surveillance platforms. These data form an integral part of the disease surveillance systems that is the basis of New York City's infectious disease control and prevention efforts.

DUTIES WILL INCLUDE BUT NOT BE LIMITED TO:
- Develop and maintain disease reporting data ETL pipelines
- Build and maintain data integration pipelines between reporting and surveillance systems
- Use Machine Learning and other suitable tools to make and record progress for anomaly detection
- Design and maintain data quality reporting systems
- Manage project requirements, timelines, deliverables, and prepare reports accordingly
- Manage communication with stakeholders
- Conduct analyses to improve automated detection and evaluation of data quality and reporting issues
- Assist in the coordination of research efforts and conduct ad hoc data engineering and analyses tasks as needed

PREFERRED SKILLS:
- Proficiency in SQL
- Proficiency in R or Python programming
- Experience in Machine Learning models for anomaly detection
- Experience with process automation
- Strong data visualization skills

Why you should work for us:

- 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!

The NYC Health Department is an inclusive equal opportunity employer committed to providing access and reasonable accommodation to all individuals. To request reasonable accommodation to participate in the job application or interview process, contact Sye-Eun Ahn, Director of the Office of Equal Employment Opportunity, at [email protected] or 347-396-6549.

CITY RESEARCH SCIENTIST - 21744

1. 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:
1. 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
2. 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
3. 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.

The City of New York 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.