JOB DESCRIPTION

The Department of Sustainable Delivery (DSD) is a new division within the NYC Department of Transportation (DOT), launched in 2025 to respond to the rapid growth of app-based delivery and the widespread use of micromobility devices on city streets. As these vehicles become more common for both personal and commercial use, DSD is responsible for ensuring they are used safely, legally, and in ways that support the City’s broader transportation and climate goals. DSD employs a multifaceted approach combining data analytics, policy, enforcement, education, and industry oversight to reduce crashes and conflicts on city streets. Its mission is to bring structure, clarity, and safety to the city’s evolving micromobility landscape, ensuring these vehicles are integrated responsibly into the urban environment.
DOT seeks a Data Engineer to support the Policy Team within the Department of Sustainable Delivery while being assigned to DOT’s central analytics unit, Analytics, Performance, and Management (APM). The candidate will play a critical role in building and maintaining the data infrastructure needed to support research, policy, and operational decision-making.
In addition to analyzing micromobility, travel, delivery, and other related datasets, this position will focus heavily on designing, implementing, and optimizing data pipelines; developing and maintaining data ingestion, validation, and transformation processes; and integrating new data sources into DOT’s data ecosystem.

Under the direction and supervision of APM’s Deputy Director of Data Engineering and Hosting, the Data Engineer will:

• Design, build, and maintain scalable data pipelines for large and complex datasets, ensuring high data quality, integrity, and availability.
• Develop solutions for ingesting and processing third-party data feeds, including establishing data validation and quality-control processes.
• Collaborate with IT and analytics teams to design and optimize cloud-based infrastructure for storage, processing, and analytics (e.g., Microsoft Azure, Snowflake)
• Work with Power BI, Python, SQL, and other tools to transform raw data into usable formats for dashboards, reports, and analysis.
• Document data flows, business logic, and technical processes to support data governance and reproducibility.
• Support DSD and APM with analytical requests, system integrations, and the development of internal data standards.

MINIMUM QUALIFICATIONS

1. 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,
2. 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,
3. Education and/or experience which is equivalent to “1” or “2” above.

PREFERRED SKILLS

• Strong programming skills in Python (experience with libraries such as Pandas, Polars, or Django) and SQL (Snowflake, SQL Server, Oracle). - Experience with cloud services such as Microsoft Azure (Data Factory, DevOps) or similar platforms. - Proven ability to design, implement, and optimize data pipelines for large, complex datasets. - Experience with business intelligence tools (e.g., Microsoft Power BI, Tableau) for dashboard development and KPI reporting. - Familiarity with data version control (Git/GitHub) and CI/CD workflows. - Knowledge of data governance, privacy standards, and best practices for managing third-party data feeds. - Experience with geospatial data (QGIS, ArcGIS) is a plus. - Strong communication skills (oral and written) and the ability to collaborate across technical and non-technical teams.

Please refer the Job description for details