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Remote Payment Processing Engineer Jobs in California

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Remote Payment Processing Engineer information

What are the key skills and qualifications needed to thrive as a Remote Payment Processing Engineer, and why are they important?

To thrive as a Remote Payment Processing Engineer, you need strong proficiency in backend programming (such as Java, Python, or Node.js), understanding of payment protocols, and a background in computer science or related fields. Familiarity with payment gateways (like Stripe or PayPal), PCI DSS compliance, and experience with secure transaction systems are typically required. Excellent problem-solving, attention to detail, and effective remote communication skills help you stand out in this role. These abilities ensure secure, reliable, and seamless payment solutions in a distributed work environment.

How does a Remote Payment Processing Engineer typically collaborate with cross-functional teams to ensure secure and efficient transactions?

As a Remote Payment Processing Engineer, you will frequently work with product managers, security specialists, and QA teams to design, implement, and maintain payment solutions. Collaboration often involves participating in virtual meetings to discuss new features, resolving transaction issues, and ensuring compliance with industry standards like PCI DSS. Close teamwork is essential to identify potential vulnerabilities, optimize transaction speed, and deliver a seamless payment experience for end-users. Clear communication and a proactive approach to problem-solving are key, especially when coordinating across different time zones.

What does a Remote Payment Processing Engineer do?

A Remote Payment Processing Engineer is responsible for developing, maintaining, and optimizing systems that handle electronic payments, such as credit card transactions and digital wallets, often working from a remote location. They ensure that payment processes are secure, reliable, and compliant with industry standards like PCI DSS. Their role includes integrating payment gateways, troubleshooting transaction issues, and collaborating with other developers to implement seamless payment solutions for businesses. By working remotely, they can support global teams and clients, providing technical expertise from anywhere with an internet connection.

What is the difference between Remote Payment Processing Engineer vs Remote Payment Systems Analyst?

AspectRemote Payment Processing EngineerRemote Payment Systems Analyst
Required CredentialsBachelor's in Computer Science, certifications in payment systems or cybersecurityBachelor's in Information Systems, certifications in payment industry standards
Work EnvironmentTechnical teams, software development, system testingAnalysis, reporting, system evaluation, client interaction
Employer & Industry UsageFintech companies, banks, payment service providersFinancial institutions, payment processors, consulting firms
Common Search & ComparisonFocuses on system development and integrationFocuses on system analysis and optimization

The Remote Payment Processing Engineer primarily develops and maintains payment systems, ensuring secure and efficient transactions. In contrast, the Remote Payment Systems Analyst evaluates and analyzes payment processes to improve performance and compliance. Both roles require knowledge of payment industry standards but differ in their focus on technical development versus system analysis.

What job categories do people searching Remote Payment Processing Engineer jobs in California look for? The top searched job categories for Remote Payment Processing Engineer jobs in California are:
What cities in California are hiring for Remote Payment Processing Engineer jobs? Cities in California with the most Remote Payment Processing Engineer job openings:
Infographic showing various Remote Payment Processing Engineer job openings in California as of May 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 26% In-person, and 74% Remote job distribution.

Principal Data Processing Engineer-OSS

Datapelago

Mountain View, CA • On-site, Remote

Full-time

Posted 13 days ago


Job description

Principal Data Processing Engineer - OSS
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 (OSS), you will be a key individual contributor in
adopting and advancing the capabilities of open-source software (OSS) platforms such as Apache

Gluten, Velox, Apache Spark, and Apache Flink in the context of DataPelago's data processing engine. You will enhance the functional breadth, performance, scale, and reliability of the DataPelago engine through downstream and upstream contributions. You will have the opportunity to engage with the community working on these platforms. 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:

  • Influence the architecture of how our data processing engine interfaces with open-source platforms and engines.
  • Lead the design of functional and performance enhancements to open source platforms such as Apache Gluten and Velox, and their integration with our data processing engine.
  • Individually design, implement, test, optimize, and maintain components of the data processing engine.
  • Analyze the technology roadmap of Apache Gluten, Velox, and equivalent platforms and identify opportunities for our engine to enhance technology and product leadership.
  • Collaboration: Partner with engineering, product management, the open-source community and customer success teams.
  • 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 6+ years of relevant experience
  • 3+ years of deep technical experience in instrumenting, analyzing, and optimizing the performance of data processing engine components on benchmark and customer workloads.
  • Sound knowledge of the architecture and internal operation of one or more of Apache Spark,
    Apache Flink, Presto/Trino.
  • Demonstrated experience in the design, development, and successful release of high-performance data processing engines for large production deployments.
  • Exceptional programming skills in C, C++, and Java.
  • Extensive development experience in Linux environments.
  • Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
  • 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?

  • 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