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Data Processing Manager Jobs (NOW HIRING)

Data Processing Engineer - I/O

$117K - $140K/yr

Data Processing Engineer - I/O DataPelago is at the forefront of revolutionizing data processing ... Partner effectively with engineering and product management in defining and realizing the data I/O ...

F-22 Data Processing Engineer

Edwards, CA · On-site

$70K - $123K/yr

... and the management and configuration control for the mission archive. You will assist with ... Experience with data processing, data analytics, software development/scripting, database support ...

Minerals Processing Manager

Broomfield, CO · On-site

$116K - $117K/yr

Job Summary DISA is seeking a Minerals Processing Manager that is internally called the Technical ... The role serves as the final technical authority for reviewing and approving data interpretation ...

Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports * Attending project meetings, schedule control, submit for permits for on ...

Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports * Attending project meetings, schedule control, submit for permits for on ...

Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports * Attending project meetings, schedule control, submit for permits for on ...

Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports * Attending project meetings, schedule control, submit for permits for on ...

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Data Processing Manager information

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$34.5K

$52.5K

$68.5K

How much do data processing manager jobs pay per year?

As of Jul 9, 2026, the average yearly pay for data processing manager in the United States is $52,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,500.00 and $62,500.00 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, and why are they important?

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.

Are data managers in demand?

Data processing managers are in high demand due to the increasing reliance on data-driven decision making across industries. They typically require strong analytical skills, knowledge of data management tools, and experience with data governance, making their roles essential in organizations seeking to optimize data workflows.

What is the highest paying job in data?

In data-related fields, executive roles such as Chief Data Officer (CDO) or Chief Data Scientist tend to be the highest paying, often earning six-figure salaries or more. These positions require extensive experience, leadership skills, and expertise in data strategy, analytics, and governance.

Is a data processor a stressful job?

A data processing manager role can be stressful due to tight deadlines, high accuracy requirements, and managing large volumes of data. The job often involves attention to detail, problem-solving skills, and working with data management tools, which can contribute to workload pressure.

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. The role often requires strong leadership, problem-solving skills, and knowledge of data security and compliance standards.
More about Data Processing Manager jobs
What cities are hiring for Data Processing Manager jobs? Cities with the most Data Processing Manager job openings:
What are the most commonly searched types of Data Processing jobs? The most popular types of Data Processing jobs are:
What states have the most Data Processing Manager jobs? States with the most job openings for Data Processing Manager jobs include:
Infographic showing various Data Processing Manager job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $52,500 per year, or $25.2 per hour.

Data Processing Engineer - I/O

Datapelago

Remote

$117K - $140K/yr

Other

Posted 16 days ago


Job description

Data Processing Engineer - I/O

DataPelago is at the forefront of revolutionizing data processing for traditional analytics and cutting-edge GenAI preprocessing. We are building an innovative data processing engine that is transforming how Apache Spark, Apache Flink, Ray and others operate on diverse, large-scale data. Our team of engineers drive and adopt advances in hardware-accelerated computing, parallel processing of large-scale data, query optimization, distributed systems, compilers, machine learning, and cloud-native computing. We are looking for specialists to join our engineering team and shape the future of accelerated data processing.

The Opportunity: As a Data Processing Engineer - I/O, you will be a key individual contributor in advancing data read and write capabilities of DataPelago's data processing engine. You will enhance functional breadth, performance, scale, and reliability of the DataPelago engine in reading and writing large scale data of various data types from diverse data sources and data sinks. This is a unique opportunity to make a significant impact on a category-defining product and work with a talented team of engineers.

What You'll Do:

  • Architect: Influence the architecture of how our data processing engine interfaces with data sources and sinks, catalogs, data formats.
  • Design: Lead design of functional and performance enhancements to adapters/connectors, data representations, data filtering, caching and more in our data processing engine.
  • Core Development: Individually design, implement, test, optimize, and maintain components of the data processing engine.
  • Innovation and Differentiation: Analyze technology roadmap of existing and emerging data formats and libraries, open table formats, catalog services, and more (e.g., Apache Arrow, Apache Parquet, Apache Iceberg) and identify opportunities for our engine to enhance technology and product leadership.
  • Collaboration: Partner effectively with engineering and product management in defining and realizing the data I/O roadmap of our product.
  • Continuous Improvement: Foster best practices in design and code reviews, testing, CI/CD, and issue resolution to maintain highest product quality, security, efficiency, & productivity.

What You'll Bring:

• Bachelor's degree in Computer Science or a related field with 7+ years of relevant experience OR a Master's degree in Computer Science or a related field with 5+ years of relevant experience.

• 3+ years of deep technical experience in developing and optimizing data read and write interfaces for large-scale data processing, particularly related to Apache Parquet, Apache ORC, Apache Iceberg, Apache Spark, and similar technologies.

• Demonstrated experience in instrumenting, analyzing, and optimizing the performance of data processing engine components on benchmark and customer workloads.

• Demonstrated experience in the design, development, and successful release of high-performance data processing engine features for large production deployments.

• Good knowledge of the architecture of one or more of Apache Spark, Apache Flink, Presto/Trino. • Exceptional programming skills in C, C++. Rust experience preferred. • Extensive development experience in Linux environments. • Strong analytical and problem-solving skills with a passion for performance optimization.

Location Considerations:

We value face-to-face collaboration, but recognize that talent can be found anywhere. Our engineering team works at our headquarters in Mountain View, CA, at our India office in Hyderabad, and at remote locations.

Why Join DataPelago? • Technology Leadership: Shape the architecture and development of how our core engine works with advanced data store platforms. • Cutting-Edge Innovation: Work on challenging problems at the forefront of accelerated computing and data processing. • Significant Impact: Your contributions will directly impact the performance and scalability of our mission-critical platform. • Growth: Expand your technical expertise and scope of responsibilities working with other talented engineers and with a growing product.

• Competitive compensation, stock options, comprehensive benefits package, leadership development opportunities.