Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
New York City, NY, United States
Live, first seen by us 21 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Design and maintain conceptual, logical, and physical data models
Build and support ETL data integration pipelines
Analyze source systems for data quality issues and recommend fixes
Write SQL queries, stored procedures, and data transformations
Build reports and dashboards in OBIEE, Power BI, and similar tools
Develop and maintain conceptual, logical, and physical data models
design, develop, and support complex data integration pipelines using ETL tools
Analyze legacy and strategic source systems to assess data quality, identify inconsistencies, and recommend corrective actions
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
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
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 21
Similar jobs usually come down between day 6 and day 54.
Well past City of New York’s usual: its jobs come down by about day 10.
From 11,035 similar postings that came down, and 315 of City of New York’s. Coming down is not always a hire.
38 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
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
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Yes. We’ve followed one other Data Engineer job there since June 2026. It came down after 141 days.
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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
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.
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.
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New York City, NY, United States
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