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Remote Data Processing Jobs in California (NOW HIRING)

Innowhyte Inc

Proficiency in Python programming and its data-processing libraries (e.g., Pandas, PySpark). Proven expertise in handling large-scale data systems such as distributed databases, data warehouses, and ...

Innowhyte Inc

... processing libraries (e.g., Pandas, PySpark). • Proven expertise in handling large-scale data systems such as distributed databases, data warehouses, and data lakes. • Strong experience with ...

Apex Systems

Data Scientist 1

Fremont, CA · On-site +1

Have a remote spot that can fall in the scientist or analyst realm with heavy work in Microsoft ... Process and manipulate large datasets for eDiscovery, including filtering, deduplication, and data ...

Saalex

$120K - $167K/yr

This is a remote position. Job Summary: We are seeking a highly motivated Data Scientist to support ... Build and optimize data pipelines, ETL processes, and feature engineering workflows * Develop data ...

New

Saalex

Data Scientist

Ridgecrest, CA · Remote

$120K - $167K/yr

This is a remote position. Job Summary: We are seeking a highly motivated Data Scientist to support ... Build and optimize data pipelines, ETL processes, and feature engineering workflows * Develop data ...

New

Arsenault

Claims Processor

Los Angeles, CA · Remote

$15 - $20/hr

Remote Data Entry Associate Equipment Provided Temp with chance to convert to full time Salary ... About the Role As a member of the team, you will be processing FSA and HSA claims. You will review ...

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$12

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How much do remote data processing jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote data processing in California is $20.00, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.07 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Data Processing specialist, you need strong analytical skills, attention to detail, and proficiency in data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with databases, spreadsheet software like Microsoft Excel or Google Sheets, and sometimes data processing tools such as SQL or Python is typically required. Excellent time management, self-motivation, and clear communication are essential soft skills for remote collaboration and meeting deadlines. These abilities ensure data accuracy, efficient processing, and effective teamwork in a remote work environment.

What are some common challenges faced by professionals in remote data processing roles, and how can they be overcome?

Remote data processing professionals often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining clear communication with distributed teams. To overcome these, it's important to establish strong data validation protocols, use reliable tools for data management, and schedule regular virtual meetings to stay aligned with team objectives. Additionally, setting clear expectations and using collaborative platforms can help mitigate misunderstandings and improve workflow efficiency.

What is remote data processing?

Remote data processing refers to the collection, analysis, and management of data from a location outside of a traditional office setting, often using cloud-based tools and remote access technologies. Professionals in this role handle data entry, validation, organization, and sometimes basic analytics, ensuring data integrity and accessibility for organizations. This job typically requires strong computer skills, attention to detail, and the ability to work independently while maintaining data security and privacy protocols.

What is the difference between Remote Data Processing vs Remote Data Analysis?

AspectRemote Data ProcessingRemote Data Analysis
Primary RoleHandling data input, cleaning, and preparationInterpreting data to generate insights and reports
Skills & CertificationsData management, SQL, basic scriptingStatistical analysis, data visualization, tools like Excel, R, Python
Work EnvironmentData warehouses, cloud platforms, databasesAnalysis tools, dashboards, reporting software
Industry UsageData management teams, IT departmentsBusiness intelligence, marketing, finance

Remote Data Processing focuses on preparing and managing raw data, while Remote Data Analysis involves interpreting that data to inform decisions. Both roles often require similar technical skills but differ in their core responsibilities and end goals.

What are the most commonly searched types of Data Processing jobs in California? The most popular types of Data Processing jobs in California are:
What are popular job titles related to Remote Data Processing jobs in California? For Remote Data Processing jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Data Processing jobs in California look for? The top searched job categories for Remote Data Processing jobs in California are:
What cities in California are hiring for Remote Data Processing jobs? Cities in California with the most Remote Data Processing job openings:
Remote Data Processing jobs near you

Principal Data Processing Engineer-OSS

Datapelago

Mountain View, CA • On-site, Remote

Full-time

Posted 12 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

Apply