ZipRecruiter

Log In

1

Data Processing Manager Jobs in Sunnyvale, CA (NOW HIRING)

Institute of Foundation Models

Data Engineer

Sunnyvale, CA · On-site

$150K - $450K/yr

... and risk-managing foundation models. Our mandate is to advance research, nurture the next ... The Role As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data ...

next page

Showing results 1-20

All JobsData Processing JobsData Processing Manager JobsData Processing Manager Jobs in Sunnyvale, CA

Data Processing Manager information

See Sunnyvale, CA salary details

$40.5K

$61.6K

$80.4K

How much do data processing manager jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data processing manager in Sunnyvale, CA is $61,616.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,900.00 and $73,400.00 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 popular job titles related to Data Processing Manager jobs in Sunnyvale, CA?

For Data Processing Manager jobs in Sunnyvale, CA, the most frequently searched job titles are:

What job categories do people searching Data Processing Manager jobs in Sunnyvale, CA look for?

The top searched job categories for Data Processing Manager jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Data Processing Manager jobs?

Cities near Sunnyvale, CA with the most Data Processing Manager job openings:

Data Processing Manager jobs near you
Infographic showing various Data Processing Manager job openings in Sunnyvale, CA 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 $61,616 per year, or $29.6 per hour.

Principal Data Processing Engineer

Datapelago

Mountain View, CA • On-site

Full-time

Re-posted 19 days ago

Job description

Principal Data Processing Engineer
Mountain View, CA


About DataPelago:

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 world-class engineers to join our team and shape the future of accelerated data processing.


The Role:

As a Principal Data Processing Engineer, you will be a key technical leader in the development of the core execution components of our data processing engine. You will lead architecture, design, and implementation that will enhance the functional breadth, performance, scale, and reliability of the engine to deliver a product that will redefine how users extract intelligence from their data. 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:

  • Drive the evolution of our parallel and distributed execution engine architecture, with a strong focus on leveraging accelerated computing technologies.
  • End-to-End Ownership: Lead the execution engine team in the complete lifecycle of design,
    implementation, and rollout of an enterprise-grade product.
  • Individually design, implement, test, and maintain critical components of the data processing execution engine.
  • Innovation and Differentiation: Analyze technology advances from industry and academia to identify opportunities for the engine to enhance technology and product leadership.
  • Collaboration: Partner effectively with engineering, product management,
    and customer success teams.
  • Guide and mentor engineers on the execution engine team.
  • Foster best practices in design and code reviews, testing, CI/CD, and issue resolution to maintain the highest product quality, security, efficiency, and productivity.


What You'll Bring:

  • BS/MS in Computer Science (or a related field) with 10+ years of relevant experience
  • 7+ years of deep technical experience in developing core components of enterprise-grade database or analytics execution engines designed for large-scale data processing.
  • Proven expertise in developing high-performance parallel implementations of data processing operators and functions on rich data types.
  • Significant experience developing for platforms such as Apache Spark, Apache Flink, Apache Doris, Apache Gluten, Velox, Apache DataFusion/Comet preferred.
  • Previous experience working as technical lead/architect with teams of 10+ engineers in the design, development, and successful release of high-performance data processing engines for large production deployments.
  • Proficiency in C, C++, and Rust programming.
  • Extensive development experience in Linux environments.
  • Strong analytical and problem-solving skills with a passion for performance optimization.
  • Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.


Why Join DataPelago?

  • Technical Leadership: Take a leadership role in shaping the architecture and development of how our core engine works with open source data processing 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.
  • Mentorship and Growth: Mentor and guide other talented engineers while expanding your own technical expertise.
  • Competitive compensation, stock options, comprehensive benefits package, and leadership development opportunities

Apply