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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Department of Sanitation - **Location:** New York, NY, United States - **Salary:** $120,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** ASP.NET, Java (Programming Language), .NET Framework, Business Analytics Applications, Data Analysis, C Sharp (Programming Language), C++ (Programming Language), Spreadsheets, Cloud Computing, Cloud Engineering, Computer Programming, Databases, Custom Software, Data Architecture, Data Dictionary, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Mapping, Data Transformation, Data Profiling, Data Sharing, Data Systems, Data Warehousing, Database Design, Database Queries, Database Schema, Text Processing, Python (Programming Language), Oracle Business Intelligence Enterprise Edition, Office Suite, Pentaho Data Integration, Systems Development Life Cycle, Query Optimization, Power BI, Shell Script, Software Engineering, SQL Stored Procedures, SQL Databases, Tableau (Software), TypeScript, Web Application Frameworks, Enterprise Data Management, Informatica Powercenter, ReactJS, Analytic Functions, Computer Equipment, Pyspark, Information Technology, Data Management, Physical Data Models, Multiplatform, Databricks - **Published:** October 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=864cc22c0d12e7cf ## About the Role * 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, 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 The successful candidate should possess extensive hands-on experience in the following areas: Mandatory Skills - Database design, development, and administration - Advanced SQL programming and query optimization - Data integration, ETL/ELT development, and data transformation processes - Enterprise reporting, analytics, and business intelligence solutions - Data modeling, data profiling, and data quality analysis Preferred Skills - Python and pySpark programming - Unix/Linux environments and shell scripting - Databricks and modern cloud-based data platforms - Oracle Business Intelligence Enterprise Edition (OBIEE) - Power BI, Tableau, or similar analytics platforms - C++, Java, C#, and ASP.NET development - Data warehousing, data governance, and enterprise architecture concepts - Designing and implementing enterprise-scale data integration solutions - Developing and supporting cloud and hybrid data platforms - Building automated reporting and analytics solutions - Leading cross-functional technical projects and data modernization initiatives Qualifying experience should demonstrate substantial involvement in the analysis, design, development, implementation, administration, or management of enterprise technology solutions. The following types of experience do not qualify: - Routine use of commercial or pre-packaged software without responsibility for system design, programming, implementation, enhancement, or administration. - Basic word processing, spreadsheet, or office productivity software usage. - Data entry, record maintenance, or transactional processing activities. - Operation of computer hardware, consoles, or peripheral devices without systems development responsibilities. - Use of calculators or other non-programmatic tools as a primary job function. Candidates should demonstrate experience involving complex technical problem-solving, systems development, data engineering, database management, application development, or enterprise analytics solutions. ## Description 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., * 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.