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Data Engineer Project Jobs in New York (NOW HIRING)

Data Engineer

Manhattan, NY

$125K - $150K/yr

The selected candidate will serve as a Data Engineer, performing complex data engineering, data ... project portfolio. Key Responsibilities: - Perform data analysis, data profiling, data modeling ...

Azure Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Azure Data Engineer: * 10+ years of strong experience in a large & complex application development environment, last 2 projects in investment banking or financial services industry and on data-heavy ...

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

The selected candidate will serve as a Data Engineer, performing complex data engineering, data ... project portfolio. Key Responsibilities: - Perform data analysis, data profiling, data modeling ...

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

The selected candidate will serve as a Data Engineer, performing complex data engineering, data ... project portfolio. Key Responsibilities: - Perform data analysis, data profiling, data modeling ...

Data Engineer

New York, NY · On-site

$180K - $220K/yr

We're hiring a Data Engineer to build and maintain the pipelines, models, and monitoring systems ... your projects end-to-end -- from initial scoping through to production deployment and ongoing ...

Data Engineer

New York, NY · On-site

$180K - $220K/yr

We're hiring a Data Engineer to build and maintain the pipelines, models, and monitoring systems ... your projects end-to-end - from initial scoping through to production deployment and ongoing ...

GCP Data Engineer

New York, NY · Remote

$117K - $140K/yr

Project: * This is going to act as a tech lead/principal engineer within the Rebate Data Warehouse team. Why is req open? * Backfill for someone who had left - this has been a gap for a few months ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Strong knowledge of databases, data modeling (star/snowflake), and data engineering best practices ... Good project management skills; able to prioritize tasks and deliver improvements on time.

Data Engineer II

Manhattan, NY · Remote

$117K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Leading projects from a technical standpoint, creating project Technical Design Documents * Support data analysts and analytics engineers ability to meet the needs of the organization * Participate ...

Data Engineer, Platform

New York, NY · On-site

$125K - $150K/yr

About the Role Data Engineers on the Platform team at Basis build trustworthy data pipelines with ... You will work on both platform-specific data needs and cross-project data coordination, preventing ...

Data Engineer

Iselin, NJ · On-site

$95K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Serve as a Data Engineer Level 1 for projects, enhancements, and production support. * Be responsible for all analysis and support of assigned projects to include hands-on development. * Assist in ...

Data Engineer

Manhattan, NY · On-site

$75 - $85/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Genesis10 is seeking a Data Engineer for a 6 month + contract position with an investment ... In this role, you'll contribute to a range of projects, from developing efficient data pipelines ...

Data Engineer

Morristown, NJ · On-site

$50 - $70/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Engineer Remote Compensation: $50 - $70 per hour ABOUT THE ROLE Our client is seeking a ... Demonstrated ability to drive projects forward with minimal oversight and direction * Experience ...

Data Engineer

New York, NY · On-site +1

$150K - $200K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Lead software development projects end to end involving large language models (LLMs), retrieval ... At least 6 years of experience in data engineering or a related discipline, with a proven track ...

Data Engineer

Rutherford, NJ · On-site

$116K - $140K/yr

... a project more independently. • Hand off back and forth with offshore developers in a ... Data Profiling. • Experience implementing coding best practices via code reviews and code ...

Data Engineer

Astoria, NY · Hybrid

$125K - $128K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Data Engineer Department: Department of Health and Mental Hygiene Division: Center for Population ... These collaborations speed the execution of demonstration projects, effect expansion of successful ...

Lead Data Engineer

Jersey City, NJ · On-site

$112K - $147K/yr

Lead Data Engineer Experience Required: 12 years+ Location: Jersey City, NJ | Onsite Employment ... Project Delivery & Execution * Oversee end-to-end project delivery, ensuring timely, high-quality ...

Data Engineer

New York, NY · On-site

$140K - $180K/yr

  • Medical

  • Retirement

Reporting to the Head of Data, this is a high visibility role with the opportunity to work on greenfield projects. If you're a data engineer with a builder mindset, who wants to leverage a best-in ...

Showing results 41-60

Data Engineer Project information

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

What are popular job titles related to Data Engineer Project jobs in New York?

For Data Engineer Project jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Data Engineer Project jobs?

Cities in New York with the most Data Engineer Project job openings:

Infographic showing various Data Engineer Project job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

$125K - $150K/yr

Full-time

Re-posted 13 days ago


City Of New York rating

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Company rating: 7.2 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

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Job description

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.


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