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Data Processing Manager Jobs in New York (NOW HIRING)

Page Group

Data Engineer

Manhattan, NY · On-site

$115K - $135K/yr

Optimize data processing, query performance, compute utilization, and storage design across ... Maintain technical documentation, metadata, lineage, schema management, and data dictionaries to ...

Data Processing Resources

Help Desk Analyst

White Plains, NY · On-site

$21.25 - $29/hr

Record, track, and document the help desk request problem-solving process, including all successful ... Develop and Document solutions in Incident management system to aid the infrastructure and ...

Genesis10

Data Engineer

Manhattan, NY · On-site

$75 - $85/hr

... data processing use cases. * Experience with Apache Iceberg for open table format and large-scale, mutable dataset management in a lakehouse architecture. * Familiarity with data quality and ...

Reality Defender

Data Engineer

New York, NY · Remote

$140K - $180K/yr

Build and maintain distributed data processing jobs using frameworks such as Spark and Ray. * Design and operate workflow orchestration systems (e.g., Airflow) with dependency management, retries ...

Reality Defender

Data Engineer

New York, NY · On-site +1

$140K - $180K/yr

Build and maintain distributed data processing jobs using frameworks such as Spark and Ray. * Design and operate workflow orchestration systems (e.g., Airflow) with dependency management, retries ...

Reality Defender

Data Engineer

New York, NY · Remote

$140K - $180K/yr

Build and maintain distributed data processing jobs using frameworks such as Spark and Ray. * Design and operate workflow orchestration systems (e.g., Airflow) with dependency management, retries ...

TecTammina

Data Scientist

Roseland, NJ

Experience in R/SAS for data cleaning & manipulation Experience in Claims data processing ... Management. Additional Information Job Status: Permanent Share the Profiles to mdanish(at ...

Optimum

Intern - Data Engineer

Long Island City, NY

$35/hr

The Intern will work closely with Data Engineering and Data Analytics teams to help ingest, process, and manage data across various systems. This role will assist in the development and improvement ...

New

Pwc

Data Engineer - Manager

Melville, NY · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... data processing and analysis. You will be responsible for developing and implementing data ...

Pwc

Data Engineer - Manager

Stamford, CT

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... data processing and analysis. You will be responsible for developing and implementing data ...

Pwc

Data Engineer - Manager

New York, NY · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... data processing and analysis. You will be responsible for developing and implementing data ...

Pwc

Data Engineer - Manager

Florham Park, NJ

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... data processing and analysis. You will be responsible for developing and implementing data ...

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Data Processing Manager information

See New York salary details

$37.7K

$57.4K

$74.9K

How much do data processing manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data processing manager in New York is $57,436.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,500.00 and $68,400.00 per year, depending on experience, location, and employer.

What are the typical challenges faced by a data processing manager when overseeing large-scale data projects?

Data Processing Managers often encounter challenges such as ensuring data quality and consistency across multiple sources, managing tight project deadlines, and coordinating with cross-functional teams like IT, analytics, and compliance. They must stay updated on evolving data processing technologies while maintaining security and privacy standards. Effective communication and adaptability are essential, as priorities may shift quickly based on organizational needs or data integrity issues.

What are the key skills and qualifications needed to thrive as a data processing manager?

To thrive as a Data Processing Manager, you need expertise in data management, analysis, and process optimization, typically supported by a degree in computer science, information systems, or a related field. Familiarity with database management systems (DBMS), ETL tools, and data governance frameworks, along with certifications like Certified Data Management Professional (CDMP), is often required. Strong leadership, problem-solving, and communication skills help you effectively lead teams and collaborate across departments. These skills are crucial for ensuring data integrity, efficient workflows, and informed decision-making within an organization.

What does a data processing manager do?

A data processing manager oversees the collection, organization, and analysis of data within an organization. They coordinate data workflows, ensure data quality, and implement processing systems using tools like SQL, Python, or data management software. Strong leadership, problem-solving skills, and knowledge of data security are essential for this role.
What are the most commonly searched types of Data Processing jobs in New York? The most popular types of Data Processing jobs in New York are:
What are popular job titles related to Data Processing Manager jobs in New York? For Data Processing Manager jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Processing Manager jobs in New York look for? The top searched job categories for Data Processing Manager jobs in New York are:
What cities in New York are hiring for Data Processing Manager jobs? Cities in New York with the most Data Processing Manager job openings:
Data Processing Manager jobs near you
Infographic showing various Data Processing Manager job openings in New York as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $57,436 per year, or $27.6 per hour.

Data Engineer

Page Group

Manhattan, NY • On-site

$115K - $135K/yr

Other

Posted 12 days ago

Job description

The Data Engineer will play a key role in designing, building, and maintainig scalable data pipelines, curated analytical data models, and cloud-based data products that support enterprise supply chain analytics and operations. Client Details One of the nation's top integrated academic health systems devoted to patient care, education, and research. Description Design, build, and maintain scalable batch data pipelines, transformation workflows, dimensional models, and curated analytical data models using SQL, Python, Databricks, Apache Spark/PySpark, and distributed data processing technologies. Define and maintain source-to-target mappings and transformation logic for data integrated from enterprise platforms including Epic, Oracle, ParEx, GHX, PeopleSoft, and other supply chain systems. Implement automated data quality, reconciliation, validation, and testing processes to ensure reliable, production-ready datasets. Optimize data processing, query performance, compute utilization, and storage design across relational and distributed data platforms. Develop, test, deploy, monitor, and support data solutions across development and production environments, following established release management, change management, and deployment practices. Provide operational support for production data pipelines, including incident triage, root cause analysis, issue resolution, and recovery of failed workflows. Implement workflow orchestration, data observability, monitoring, and alerting to ensure pipeline reliability, data freshness, data quality, and timely issue detection. Maintain technical documentation, metadata, lineage, schema management, and data dictionaries to support governance, transparency, and operational support. Partner with business and technical stakeholders to translate requirements into scalable, sustainable data engineering solutions. Contribute to engineering best practices through code review, automated testing, version control, release management, and deployment standards. MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Profile A successful Data Engineer should have: Bachelor's degree in computer science, data engineering, information systems, engineering, or a related field; Masters preferred 3-5+ years of experience in data science/engineering, data warehousing, or analytics engineering. Advanced programming skills in Python and strong proficiency in SQL for building and maintaining production data pipelines across development and production environments. Experience developing scalable ELT/ETL pipelines and analytical or dimensional data models on relational, cloud, or distributed data processing platforms. Experience with Git, code review, automated testing, and modern software development practices. Strong understanding of data quality, troubleshooting, performance optimization, and production support. Experience integrating complex enterprise data across multiple source systems. Job Offer Competitive salary ranging from $115,000 to $135,000 annually. Permanent, full-time position in New York. Interested? Apply today. MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.

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