Data Engineer

City of New York • New York City, NY

1d

About The Position

The IT & Telecom division is seeking a highly skilled, detail-oriented Data Engineer to support the Enterprise Data Science and Engineering Unit (EDSE). EDSE is a specialized team within the Agency dedicated to designing and operating advanced data storage and processing solutions capable of handling very large datasets, or “Big Data.” In addition to overseeing Big Data operations, EDSE partners with Agency analysts and data scientists to empower leadership and planners with actionable, data-driven insights for critical projects and strategic initiatives. The Data Engineer will play a key role in supporting the Department of Sustainable Delivery (DSD), a new division within the NYC Department of Transportation focused on the rapid growth of app-based deliveries and the increasing use of electric micromobility devices such as e-bikes, mopeds, and scooters. DSD brings together data analytics, policy, enforcement, education, and industry oversight to address the unique safety and operational challenges posed by the commercial use of micromobility. By collaborating with DSD, the Data Engineer will help develop and maintain data systems that enable the division to monitor, analyze, and report on micromobility trends, support enforcement and policy initiatives, and ensure that data-driven insights contribute to a safer and more sustainable transportation future for New York City.

Requirements

• A baccalaureate degree from an accredited college in computer science, engineering or a related field and four years of satisfactory full-time experience related to datacenter engineering and operations, cloud engineering and operations, complex IT infrastructure engineering; or,
• A baccalaureate degree from an accredited college and eight years of satisfactory full-time experience related to datacenter engineering and operations, cloud engineering and operations, complex IT infrastructure engineering; or,
• Education and/or experience which is equivalent to "1" or "2" above.

Responsibilities

• Architect, implement, and maintain scalable data pipelines using Apache NiFi for ETL and real-time data integration.
• Design, optimize, and manage Snowflake data warehouses, including schema design, performance tuning, and security controls.
• Administer Linux-based cloud environments (Azure, AWS, or GCP), including automation of deployments, patching, and monitoring.
• Develop and maintain CI/CD workflows for data engineering solutions.
• Collaborate with data scientists and analysts to deliver high-quality, production-ready datasets and analytics solutions.
• Implement robust data governance, lineage, and auditing practices.
• Troubleshoot and resolve issues across the data platform, including connectivity, performance, and security.
• Mentor Agency staff and contribute to technical best practices and documentation.
• Perform other data engineering tasks as assigned to support a dynamic and fast-paced team, among other duties.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees