Data Engineer

City of New York•New York, NY
•$120,000 - $180,000

About The Position

The New York City Department of Sanitation (DSNY) is the nation’s largest municipal sanitation agency, responsible for collecting, recycling, and disposing of waste; cleaning City streets and vacant lots; and clearing snow and ice. The Data Engineer will work within the Operations Management Division (OMD), under general supervision and with considerable latitude to exercise independent judgment and initiative. The position is responsible for designing, developing, implementing, enhancing, documenting, and maintaining database management systems, data integration solutions, custom applications, and related software functions. The selected candidate will perform complex data engineering, integration, and analytical work in a multi-platform enterprise environment, supporting reporting, analytics, and operational initiatives across DSNY’s Operations Management project portfolio. The role involves working with business stakeholders, technical teams, and external partners to build and support data solutions and maintain internal IT systems, applications, and databases. The posting also includes a separate IT Infrastructure Engineer qualification section. Those infrastructure-specific qualifications are not treated as requirements for the Data Engineer role.

Requirements

  • Strong proficiency in SQL and Python programming.
  • Experience with data modeling, data analysis, ETL development, and database design.
  • Experience with enterprise reporting and analytics platforms such as Power BI, OBIEE, Tableau, or similar tools.
  • Knowledge of modern data platforms and cloud-based analytics environments.

Nice To Haves

  • Experience with PySpark.
  • Experience with Databricks; described as highly desirable.
  • Experience with Microsoft .NET technologies, including ASP.NET, C#, TypeScript, React, or another modern web application framework.
  • Experience with Java development and related technologies.
  • Familiarity with data warehousing, data governance, cloud platforms, and enterprise data integration best practices.
  • Strong analytical and problem-solving skills, excellent communication abilities, and the capacity to work effectively with others.

Responsibilities

  • Perform data analysis, data profiling, data modeling, source-to-target mapping, and reporting for enterprise data and analytics projects.
  • Develop and maintain conceptual, logical, and physical data models for operational, analytical, and reporting needs.
  • Analyze legacy and strategic source systems, assess data quality, identify inconsistencies, and recommend corrective actions to improve data integrity and governance.
  • Collaborate with business stakeholders, technical teams, and external partners to design, develop, and support data integration pipelines using ETL tools such as Databricks, Informatica PowerCenter, and Pentaho Data Integration (Kettle), or similar technologies.
  • Develop, maintain, and enhance technical documentation, including data models, data dictionaries, source-to-target mapping documents, ETL specifications, process flows, and reporting artifacts.
  • Develop and maintain SQL-based data solutions, including complex queries, stored procedures, database objects, and data transformation processes.
  • Support business intelligence and reporting initiatives by developing reports, dashboards, and analytical solutions using platforms such as OBIEE, Power BI, and other enterprise reporting tools.
  • Participate in designing and implementing data architecture and integration strategies to improve data sharing and interoperability within DSNY and across City agencies.
  • Support and maintain internal IT systems, applications, and databases, ensuring reliability, performance, and adherence to agency standards.
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