Queens, NY

Data Jobs in Queens, NY

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Machine Learning & Data Engineer, Bureau of Data Technology & Strategy

DEPT OF HEALTH/MENTAL HYGIENE Queens, NY

Queens, NY

Today

$110k - $135k/yr Full time Python Big Data Data Analytics

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Job Description

Support integrated, scalable, and secure data pipelines and a platform for real-time and batch ingestion and processing to advance public health data modernization and data sharing.

Develop integrated data pipelines that enable efficient data exchange, analysis, surveillance, and reporting
Partner with public health data stewards to capture health informatics data needs
Integrate public health data standards and practices into the integrated data architecture
Build and maintain scalable, secure pipelines and platform for real-time and batch ingestion from diverse internal and external sources
Advise on selection and implementation of data technologies and tools to strengthen analytics and data science capabilities
Uphold data governance, data quality, and security best practices, including compliance with applicable regulations and standards
Coordinate with internal and external stakeholders to align infrastructure enhancements with the needs of diverse units

Requirements

Planning and project management skills, with the ability to adapt to new information and changing needs
Experience modeling population-level health outcomes, infectious disease transmission, behavioral dynamics, or health systems operations
Experience working with structured and unstructured datasets, including data from NYC or other municipal contexts
Knowledge of statistical inference, uncertainty quantification, sensitivity analysis, and validation techniques for simulation models
Prioritization and time management skills
Interpersonal and communications skills, including managing working relationships across all levels
High degree of self-awareness, humility, and diplomacy
4 or more years of experience in data engineering, including building and managing scalable data pipelines
Experience with cloud-based data solutions such as Azure, AWS, or GCP
Programming experience with Python and/or R
Linux systems experience
Big data technology experience such as Hadoop and/or Spark
Familiarity with health informatics and public health data standards, including HL7 and FHIR
Experience developing simulation modeling, including agent-based models, discrete event simulations, or system dynamic models
Experience identifying and integrating datasets for simulation or predictive modeling use
Ability to translate modeling outputs into clear, actionable insights for stakeholders
Experience conducting scenario analysis to support policy or program decision-making
Experience mentoring more junior staff, managing projects, and collaborating across diverse functional teams
Strong problem-solving and communication skills for conveying technical concepts to a broad audience

Technologies

Azure, AWS, GCP
Python, R
Linux
Hadoop, Spark
HL7, FHIR
Agent-based models
Discrete event simulations
System dynamic models

Benefits

Loan Forgiveness: Federal/state loan forgiveness and repayment assistance programs that lessen payments or fully forgive the full balance
Health Insurance: Premium-free health insurance plan; saves employees over $10K annually (per a 2024 assessment)
Additional health, fitness, and financial benefits may be available based on the position’s associated union/benefit fund
Retirement: Public sector defined benefit pension plan with steady monthly payments in retirement
Tax-deferred savings program
Robust Worksite Wellness Program
Work From Home Policy: Depending on position, may be able to work up to two days during the week from home

Position Details

Location: Queens, NY (onsite)
Work location: 42-09 28th Street
Number of positions: 1
Category: Technology, Data & Innovation
Posted on: 09/30/2026
Posted until: 11/29/2026
Job ID: 803214
Title code: 21744
Civil service title: CITY RESEARCH SCIENTIST
Title classification: Non-Competitive-5
Experience level: Experienced (non-manager)
Job level: 4A
Minimum experience: 4 years
Education: master’s degree
Salary range: $109,565.00 – $135,000.00 per year
No exam required
Minimum qualifications (Assignment Level I): A master’s degree from an accredited college or university with specialization in an appropriate field of physical, biological and environmental sciences and public health
Additional minimum qualifications are required for Assignment Level II and above (including doctorate degree and specified experience pathways)
Probationary period: Minimum probationary period of one year
Residency requirement: New York City residency generally required within 90 days of appointment
Residency exceptions: City employees in certain titles who have worked for the City for 2 continuous years may be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County
Residency applicability: Discuss with the agency representative at the time of interview

Technologies focus: Azure, AWS, GCP, Python, R, Linux, Hadoop, Spark, HL7, FHIR, agent-based models, discrete event simulations, system dynamic models

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4mo ago

Data Analyst, Violence Prevention Initiatives (VPI), Bureau of Health Equity Capacity Building

DEPT OF HEALTH/MENTAL HYGIENE Queens, NY

Queens, NY

4mo ago Closed

$88k - $101k/yr Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Jun 11, 2026).

Job Description

Data Analyst for the Violence Prevention Initiatives (VPI) within the Bureau of Health Equity Capacity Building supports data collection, analytics, dashboard maintenance, and reporting to inform violence prevention programs in New York City. This onsite role is based in Queens, NY, with a salary range of USD 87,743 to 100,904 per year. Candidates should hold a Doctorate and have a minimum of one year of relevant experience.

Responsibilities

Collaborate with program staff and partners to design and refine data collection instruments and improve data systems and processes.
Partner with program stakeholders to establish specific, measurable metrics for operational and performance management.
Use SAS or R to process, clean, and prepare data for analysis and reporting; perform regular data checks; document data management procedures such as data dictionaries; monitor data quality; and resolve issues in collaboration with program staff and partners.
Prepare routine reports and presentations on program performance, and clearly communicate results to program staff, partners, leadership, and non-technical audiences; contribute to scientific articles for publication.
Maintain and update existing dashboards as needed using PHPC, Tableau or Power BI; assist in developing new dashboards as required.
Respond promptly and accurately to ad hoc data requests from internal audiences (e.g., Directors, Assistant Commissioners) and external audiences (e.g., public hearings, City Hall).
Work with leadership and program stakeholders to interpret results and acknowledge limitations of data analyses.
Develop training materials and conduct trainings on updates to data collection systems; create guidance documents for internal staff and external users; provide data technical assistance to external users.
Participate in workgroups and cross-agency committees related to community violence prevention research and data.
Manage multiple projects and collaborate with other research and program staff; incorporate an equity lens in all aspects of work.
Conduct special projects and perform other duties as assigned.

Requirements

Assignment Level I: A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological or environmental science or in public health.
Assignment Level II and above: Candidates must meet one of the following pathways:
- Doctorate degree in a relevant field with specialization in physical, biological, environmental or social science, plus one year of full-time supervisory, administrative or research experience in the field.
- Master's degree in a relevant field with specialization in physical, biological, environmental or social science, plus three years of responsible full-time research experience in the field.
- Education and/or experience equivalent to the above options, provided the candidate holds at least a master's degree in the field and has at least two years of the described experience; two years as a City Research Scientist Level I can substitute for the experience required in the first two options.
Note: Probationary period of one year applies to appointments.

Technologies

SAS
R
PHPC
Tableau
Power BI
Salesforce
Partners Connect
RedCap

Benefits

Loan forgiveness and repayment assistance may be available through federal and state programs for eligible City of New York employees.
Premium-free health insurance that, in a 2024 assessment, saves employees over $10,000 annually.
Additional health, fitness, and financial benefits may apply based on the position's union or benefit fund.
A public sector defined benefit pension plan with steady monthly retirement payments.
Tax-deferred savings program.
Robust Worksite Wellness Program with resources to support employee health.
Work from home options: depending on the position, up to two days per week may be eligible for remote work.
Public sector job security with the opportunity to contribute to NYC's health and well-being.

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4mo ago

Azure Data Engineer with Power BI and C# .NET exp--Need Government domain

infopeople corporation Queens, NY

Queens, NY

4mo ago Closed

$55 - $65/hr Contract Python .NET Azure

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

infopeople corporation is seeking an Azure Data Engineer with Power BI and C# .NET experience to design, build, and maintain cloud-based data solutions within a government domain. This onsite role in Queens, NY centers on delivering scalable data pipelines, analytics, and reporting capabilities that support government initiatives.

Responsibilities

Design and implement scalable data pipelines leveraging Azure Data Lake, Spark, Hadoop, and ETL tools such as Informatica and Talend to handle large-scale structured and unstructured data.
Create and optimize data models, data warehouses, and relational databases (MS SQL Server, Oracle, and others) to enable analytics and reporting.
Develop interactive Power BI dashboards and reports, integrating data from Looker, Apache Hive, and other linked datasets to yield actionable insights.
Collaborate with cross-functional teams to capture requirements, translate business needs into technical specifications, and build RESTful APIs for data access.
Author efficient code in C# .NET, Python, Bash, and shell scripting to automate workflows, improve performance, and support model training initiatives.
Maintain thorough documentation of data architecture, processes, and security controls aligned to government standards.
Participate in Agile development cycles, contributing to sprint planning, daily stand-ups, and ongoing improvement.

Requirements

Proven experience as an Azure Data Engineer or similar role in government or enterprise environments.
Strong proficiency in Azure data services, including Azure Data Lake and Azure Data Factory, for cloud-based data management.
Hands-on Power BI experience to create visualizations and reports; familiarity with Looker is a plus.
Proficient in C# .NET; Python for data analysis or automation tasks is highly desirable.
Deep understanding of big data technologies such as Hadoop, Spark, Apache Hive, and ecosystems like Kafka or related frameworks.
Extensive experience with SQL Server and Oracle databases; solid database design principles.
Familiarity with ETL tools like Informatica or Talend; modeling and analysis skills for training data are advantageous.
Knowledge of RESTful API development for secure data exchange; experience in an Agile environment.

Technologies

Azure Data Lake
Spark
Hadoop
Informatica
Talend
Microsoft SQL Server
Oracle
Looker
Apache Hive
Kafka
REST API
C# / .NET
Python
Bash
Shell Scripting
Power BI
Power BI Desktop
Power BI Report Builder
DAX
Data Gateway
Azure Data Factory
Azure Data Lake Storage
Azure Databricks
Azure Synapse Analytics
SSIS
Microsoft Purview
Terraform
Airflow
PySpark

Data Engineering & Architecture

Extensive ETL/ELT design and optimization experience
Advanced SQL skills (expert level)
Python / PySpark proficiency
Dimensional data modeling with star schema
REST API integrations

Azure Data Stack

Azure Data Factory
Azure Databricks
Azure Synapse Analytics
Azure Data Lake Storage

Microsoft Data Platform

Experience with SQL Server data warehouse environments
Working knowledge of SSIS and modernization or migration of SSIS workflows to Azure-based solutions

Power BI

Power BI Desktop (expert level)
Advanced DAX
Executive dashboard development
Paginated reports (Power BI Report Builder)
Data Gateway configuration
Incremental refresh
Row-Level Security (RLS)

Terraform (Infrastructure-as-Code)

Orchestration tools (Airflow or equivalent)
Security systems data integration experience
Experience with C# / .NET web application development for integration with internal systems or APIs

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Data Jobs in Queens, NY

Machine Learning & Data Engineer, Bureau of Data Technology & Strategy

Data Analyst, Violence Prevention Initiatives (VPI), Bureau of Health Equity Capacity Building

Azure Data Engineer with Power BI and C# .NET exp--Need Government domain

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