This posting
Posted 15 Oct 2026 · Full-time · Pay not stated
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City of New York · New York City, New York, US
Open — City of New York has a posting for this job. Posted 15 Oct 2026.
This posting
Posted 15 Oct 2026 · Full-time · Pay not stated
Opens jobs.smartrecruiters.com. Talentify has not checked who owns that address. You apply there — Talentify never asks for an account or a CV.
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Job Description
The New York City Department of Sanitation (DSNY) keeps New York City healthy, safe, and clean by collecting, recycling, and disposing of waste, cleaning City streets and vacant lots, and clearing snow and ice. DSNY is the nation's largest municipal sanitation agency, with nearly 10,000 employees, 59 district garages, and a fleet of more than 5,000 trucks, cars, and other types of equipment. The Department clears litter, snow, and ice from approximately 6,500 miles of City streets and removes debris from vacant lots as well as abandoned vehicles from City streets.
Under general supervision, with considerable latitude for the exercise of independent judgment and initiative, the incumbent will be responsible for the design, development, implementation, enhancement, documentation, and maintenance of database management systems, data integration solutions, custom applications, and related software functions supporting the Department of Sanitation's Operations Management Division (OMD).
The selected candidate will serve as a Data Engineer, performing complex data engineering, data integration, and analytical functions within a multi-platform enterprise environment. The role will support critical reporting, analytics, and operational initiatives across the DSNY Operations Management project portfolio.
Key Responsibilities:
- Perform data analysis, data profiling, data modeling, source-to-target mapping, and reporting activities for enterprise data and analytics projects.
- Develop and maintain conceptual, logical, and physical data models to support current and future operational, analytical, and reporting requirements.
- Analyze legacy and strategic source systems to 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 complex data integration pipelines using ETL tools such as Databricks, Informatica PowerCenter, Pentaho Data Integration (Kettle), and 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 through the development of reports, dashboards, and analytical solutions utilizing platforms such as Oracle Business Intelligence Enterprise Edition (OBIEE), Power BI, and other enterprise reporting tools.
- Participate in the design and implementation of innovative data architecture and integration strategies to improve data sharing and interoperability across multiple business domains within DSNY and across City agencies.
- Support and maintain internal IT systems, applications, and databases, ensuring reliability, performance, and adherence to agency standards.
Required Qualifications:
- Strong proficiency in SQL and Python programming. Additional experience with pySpark preferred.
- 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; experience with Databricks is highly desirable.
Preferred Qualifications:
- Experience with Microsoft .NET technologies, including ASP.NET, C#, TypeScript, React or other 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.
-The ideal candidate will possess strong analytical and problem-solving skills, excellent communication abilities, and the capacity to work effectively with
IT INFRASTRUCTURE ENGINEER - 95714
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.
Additional Information
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.
Not this job's pay
Talentify has no pay figure for this posting. The lines below are about Corporate – Information Technology jobs on Talentify in New York as a group, computed by Talentify's job index across their postings. They are not the pay for this job.
Of the 466 Corporate – Information Technology jobs on Talentify in New York, 112 list pay per year.
Taking the midpoint of each listed range, the middle half pay 102,158–177,030 USD per year and the median is 135,125 USD per year.
69 of these 112 name no currency; they are counted as USD because the jobs are in the United States.
Pay as employers listed it, not adjusted or verified. Updated 2026-11-07.
Computed on 2026-11-07 from the pay in 112 listings.
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