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Remote Data Processing Jobs in California (NOW HIRING)

Thunkable

Sr. Data Analyst

San Francisco, CA · On-site +1

$101K - $127K/yr

Amplitude, Google Ads, Meta Ads, payment processors, CRM tools). - Experience with event tracking ... Global remote flexibility - The opportunity to directly influence the future of no-code and AI ...

Thunkable

Sr. Data Analyst

San Francisco, CA · Remote

$90K - $130K/yr

Amplitude, Google Ads, Meta Ads, payment processors, CRM tools). - Experience with event tracking ... Global remote flexibility - The opportunity to directly influence the future of no-code and AI ...

NEOGOV

Senior Data (Revenue Ops) Analyst

El Segundo, CA · On-site +1

$150K/yr

Remote (Pacific Time Zone & UT) or Hybrid (El Segundo, CA / Draper, UT) This role is fully remote ... Our clients use our software to streamline everyday processes NEOGOV is a leading AI-enabled SaaS ...

MILLENNIUMSOFT

Senior Software Engineer - Remote

San Diego, CA · On-site

$130K - $171K/yr

Senior Software Engineer - Remote Location : San Diego, CA Duration : 5 Months Total Hours/week ... Architect, design, and build scalable data pipelines for processing large volumes of structured and ...

Techoundsllc

Data Engineer

Irvine, CA · Remote

$123K - $148K/yr

Job Overview We are seeking a skilled Data Engineer with 3-5 years of experience specializing in ... processes. Work Location: Remote

nLine

Develop and maintain data processing and visualization systems * Contribute to backend development ... Ability to work independently and collaboratively in a small team, remote environment * Passion for ...

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All JobsRemote Data Processing JobsRemote Data Processing Jobs in California

Remote Data Processing information

See California salary details

$12

$20

$34

How much do remote data processing jobs pay per hour?

As of Jun 23, 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 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 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 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 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
Infographic showing various Remote Data Processing job openings in California as of June 2026, with employment types broken down into 67% Full Time, 29% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $41,601 per year, or $20 per hour.
Sr. Data Analyst

Sr. Data Analyst

Thunkable

San Francisco, CA • On-site, Remote

$101K - $127K/yr

Full-time

Posted 24 days ago

Job description

Role Overview
 
Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team who can bridge analytics and data foundations. In this role, you’ll not only analyze data to generate insights but also help connect and organize data from multiple sources—such as product analytics, marketing platforms, payments, and user systems—into a more complete and reliable view. We’re looking for practical solutions that help us move faster and make better decisions across the business. You will work closely with cross-functional teams to make sense of the data, establish facts and help us understand the market, the business, the customers and our product.
 
Key Responsibilities
 
- Collaborate with engineers to add, validate and maintain event tracking within React-based interfaces.
- Improve data reliability by identifying and troubleshooting tracking issues that impact data integrity.
- Partner with cross-functional teams to collect and shape business requirements into scalable data architecture and process improvements that enable cross-team integration,  automation and efficient data flow. (eg. Google Ads, Meta ads, Payment systems, Amplitude, etc.)
- Document data architecture, key components, and data flows to ensure clarity.
- Collaborate across teams to query and analyze data from Amplitude and other SQL/NoSQL systems within our current data ecosystem.
- Conduct product and marketing analyses (such as funnels, cohort analyses, and user segmentation) to uncover actionable insights.
- Develop and monitor key metrics, including setting up automated dashboards and recurring reports.
- Lead data initiatives and experimentation, defining measurement approaches and evaluating success.
 
Required Qualifications
 
- BA/BS degree or above in a related field or equivalent experience required.
- 3+ years of work experience in data science, data analytics or other quantitative roles, with a track record of successfully delivering data analytics projects.
- Experience with building and maintaining data pipelines and integrations across multiple systems (eg. Amplitude, Google Ads, Meta Ads, payment processors, CRM tools).
- Experience with event tracking instrumentation and collaborating with engineering teams to validate and maintain analytics implementations.
- Experience with handling real-time and historical data from the ground up, including data cleaning, data processing, analyzing, modeling, insights delivery and execution strategy.
- Experience in data queries and statistical programming tools (SQL, R, Python, etc.)
- Experience with product and marketing analytics and digital optimization tools (Amplitude, Google Analytics, etc.)
- You have strong analytical and problem-solving skills, with a keen attention to detail.
- You are a good communicator and can explain complex analyses using visualization and storytelling to both technical and non-technical audiences.
- You are a self-starter who thrives in a start-up environment and has a strong follow-through.
 
Preferred Qualifications
 
- Experience with improving data pipelines, data storage and analytical frameworks.
- Event tracking (eg. Javascript, Google tag manager)
- Javascript and React.
Life at Thunkable
 
Thunkable is on a mission to democratize app development and empower everyone to build without writing a single line of code. Our platform enables anyone to build and publish iOS and Android apps for free.
 
Joining Thunkable means joining a team of passionate, entrepreneurial, and supportive people from diverse backgrounds united by shared values of Creativity, Openness, Transparency, Persistence, and Entrepreneurialism.
 
What You’ll Get:
- Competitive compensation, equity, and unlimited PTO
- Health, wellness, and training budget
- Global remote flexibility
- The opportunity to directly influence the future of no-code and AI-driven app development
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.