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Data Processing Engineer Jobs (NOW HIRING)

Lockheed Martin

F-22 Data Processing Engineer

Edwards, CA · On-site

$115K - $139K/yr

We are Lockheed Martin Flight Test Data Processing Engineers are responsible for pre-mission setup of the onboard data system recording systems, Real-time control room file setup, post-mission data ...

Lockheed Martin

F-22 Data Processing Engineer

Edwards, CA · On-site

$70K - $123K/yr

We are Lockheed Martin Flight Test Data Processing Engineers are responsible for pre-mission setup of the onboard data system recording systems, Real-time control room file setup, post-mission data ...

The Pennsylvania State University

Develop data architectures and pipelines for test and evaluation, document findings and recommend ... processing workflows and implementations * Collaborate with computer vision algorithm developers ...

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How much do data processing engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data processing engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Data Processing Engineer jobs? Cities with the most Data Processing Engineer job openings:
Data Processing Engineer jobs near you
Infographic showing various Data Processing Engineer job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Principal Data Processing Engineer

Datapelago

Mountain View, CA • On-site

Full-time

Posted 15 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