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Data Engineer Manager Jobs in New York (NOW HIRING)

Data Engineer- Manager

Montvale, NJ · On-site

$119K - $143K/yr

They are seeking a Data Engineer Manager to design and implement data pipelines, ensuring high-quality data input for AI solutions and collaborating with various teams to enhance data engineering ...

Data Engineer- Manager

Montvale, NJ · On-site

$119K - $143K/yr

The role involves designing and implementing data pipelines, establishing best practices for data engineering, and collaborating with AI teams to enhance data schemas for AI solutions.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Data Engineer

North Brunswick, NJ

$120K - $145K/yr

The role focuses on cloud-native data engineering using Google Cloud Platform, with strong emphasis ... Stakeholder Management * Collaborate with Technology Architecture stakeholders to align delivery ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Supporting roles include Data Engineers who will collaborate to build models, manage data pipelines, and ensure scalable data infrastructure. Experience in the HR domain is a plus. Responsibilities

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Data Engineer Must Have Qualifications: * Strong hands-on experience in Data Engineering and ... Experience supporting Master Data Management (MDM) and enterprise data governance initiatives.

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

... Engineer with 8+ years of hands-on experience in enterprise data engineering, including deep ... Deploy and manage data workloads on Kubernetes / OpenShift platforms * Design strategies for ...

Support Master Data Management (MDM) initiatives across security, account, client, and reference ... Strong hands-on experience in Data Engineering and enterprise-scale data integration. * Proven ...

Data Engineer

Manhattan, NY

$125K - $150K/yr

... manage Snowflake data warehouses, including schema design, performance tuning, and security ... engineering solutions; collaborate with data scientists and analysts to deliver high-quality ...

Data Engineer

Greenwich, CT

$128K - $154K/yr

Berkley Corporation has grown from a small investment management firm into one of the largest ... We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design ...

Data Engineer

Greenwich, CT

$128K - $154K/yr

Berkley Corporation has grown from a small investment management firm into one of the largest ... Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problemsolving ...

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Berkley Corporation has grown from a small investment management firm into one of the largest ... Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problem ...

Data Engineer

Manhattan, NY · On-site

$75 - $82/hr

Experience within hedge funds, asset management, or financial services * Multi-asset investing domain knowledge * Background in software engineering with progression into analytics and data-focused ...

Data Engineer

Manhattan, NY · On-site +1

$110K - $140K/yr

Data Engineer LOCATION: Hybrid in New York City SALARY : $110,000 - $140,000 The Role: We are ... wealth managers. By combining industry expertise with the most sophisticated data capture ...

Data Engineer

Manhattan, NY

$125K - $150K/yr

... manage Snowflake data warehouses, including schema design, performance tuning, and security ... engineering solutions; collaborate with data scientists and analysts to deliver high-quality ...

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Showing results 1-20

Data Engineer Manager information

See New York salary details

$48.7K

$141.9K

$194.2K

How much do data engineer manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineer manager in New York is $141,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $150,400.00 per year, depending on experience, location, and employer.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

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

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What are the most commonly searched types of Data Engineer jobs in New York? The most popular types of Data Engineer jobs in New York are:
What are popular job titles related to Data Engineer Manager jobs in New York? For Data Engineer Manager jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Engineer Manager jobs in New York look for? The top searched job categories for Data Engineer Manager jobs in New York are:
What cities in New York are hiring for Data Engineer Manager jobs? Cities in New York with the most Data Engineer Manager job openings:
Infographic showing various Data Engineer Manager job openings in New York as of August 2026, with employment types broken down into 57% Full Time, and 43% Temporary. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $141,914 per year, or $68.2 per hour.

Data Engineer- Manager

KPMG US

Montvale, NJ • On-site

$119K - $143K/yr

Full-time

Re-posted 26 days ago


Job description

Job Summary:
KPMG is a leading provider of audit, tax, and advisory services, known for fostering a supportive work culture. They are seeking a Data Engineer Manager to design and implement data pipelines, ensuring high-quality data input for AI solutions and collaborating with various teams to enhance data engineering practices.
Responsibilities:
• Take ownership of designing and implementing data pipelines focused on context engineering, transforming vast amounts of structured (e.g., transactional) and unstructured client data into high-quality inputs for our AI solutions
• Set the standard for data engineering excellence, establishing and evangelizing best practices for processing and modeling diverse data sets to be analyzed by advanced generative AI agents
• Serve as a key subject matter expert, collaborating closely with AI and solution architecture teams to define and deliver the specific data schemas and contextual payloads required by our AI orchestration frameworks
• Support the development of Retrieval-Augmented Generation (RAG) and context engineering pipelines from audit knowledge sources and the integration into AI agent workflows; design and implement the use of metadata across knowledge systems to drive the use of context
• Champion data quality by developing and implementing rigorous validation frameworks to ensure the reliability of all data sources, which is critical for generating verifiable AI outputs
• Drive the product forward by personally prototyping and evolving our data engineering strategies, pioneering innovative techniques to handle complex data relationships and keep our context engineering capabilities state-of-the-art
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
Required:
• Minimum five years of recent professional experience in data engineering, with a proven track record of building data solutions that support AI-driven or advanced analytics systems
• Bachelor's degree from an accredited college or university
• Deep expertise in designing and building data pipelines that process both structured and unstructured data, preparing it for advanced AI consumption using cloud platforms like Databricks and Microsoft Fabric
• Demonstrated experience in data preparation and structuring for Retrieval-Augmented Generation (RAG) systems, with hands-on knowledge of tools like Azure AI Search and a strong understanding of how data integrates into AI agent workflows
• Strong, independent programming skills in Python and significant experience with microservice architecture, including building data APIs and interacting with asynchronous messaging systems
• Proficiency with Agile methodologies and SDLC tools (Azure DevOps, Git, CI/CD) combined with excellent problem-solving skills to articulate complex data concepts and influence technical direction (200TEC)
Preferred:
• Master's degree from an accredited college or university in Computer Science, Engineering, Information Systems, or a related field
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.