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Online Data Processor Jobs in El Sobrante, CA (NOW HIRING)

The Rockridge Group

Data Analyst

Concord, CA

You'll be responsible for processing several different types of data, including those related to our website and online presence, and our multi-channel marketing campaigns and launches.

CYNET SYSTEMS

Operations Data Analyst

Oakland, CA · On-site

$77 - $82/hr

Demonstrate broad expertise in data processing and analysis, applying analytical techniques to a wide range of business questions. * Respond to ad hoc and recurring data requests with accuracy ...

MasterCard

Data Scientist

San Francisco, CA

Title and Summary Data Scientist Overview: Are you passionate about building scalable, high ... online application process or during the recruitment process, please contact reasonable ...

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All JobsOnline Data Processor JobsOnline Data Processor Jobs in El Sobrante, CA

Online Data Processor information

See El Sobrante, CA salary details

$13

$21

$37

How much do online data processor jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for online data processor in El Sobrante, CA is $21.85, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $24.09 per hour, depending on experience, location, and employer.

What is an online data processor?

Online Data Processors are professionals who input, organize, and manage data using online platforms and software tools. Their responsibilities often include entering data from various sources, verifying accuracy, updating records, and maintaining databases. Many online data processors work remotely and may be employed by companies in fields such as healthcare, finance, retail, or research. This role requires attention to detail, computer proficiency, and the ability to work independently. Online data processing helps organizations keep their information accurate and up to date, which is essential for business operations.

What are the key skills and qualifications needed to thrive as an online data processor, and why are they important?

To thrive as an Online Data Processor, you need strong attention to detail, fast and accurate typing skills, and proficiency in data entry, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database management systems, and sometimes data processing certifications are typically required. Strong organizational skills, time management, and the ability to work independently are valuable soft skills in this position. These abilities are crucial for ensuring data accuracy, meeting deadlines, and supporting efficient business operations.

What are some common challenges faced by online data processors, and how can they be addressed?

Online Data Processors often encounter challenges such as managing large volumes of data accurately under tight deadlines, adapting to constantly evolving data management tools, and ensuring data privacy and security. To address these challenges, it's important to develop strong attention to detail, stay up-to-date with the latest software and best practices, and communicate proactively with team members to clarify requirements and resolve issues quickly. Many organizations also provide ongoing training and support, which can help you continually improve your efficiency and data-handling skills.

What is the difference between Online Data Processor vs Data Entry Clerk?

AspectOnline Data ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic computer skillsHigh school diploma or equivalent; basic computer skills
Work EnvironmentRemote or online platforms, flexible hoursOffice or on-site, standard business hours
Employer & Industry UsageBusinesses, e-commerce, data servicesAdministrative offices, healthcare, finance
Common Search & ComparisonOften compared for data handling tasks, remote workCompared for clerical and administrative data tasks

Online Data Processors and Data Entry Clerks both handle data-related tasks, but Online Data Processors typically work remotely with a focus on processing data via online platforms, while Data Entry Clerks often work on-site performing manual data input. The roles overlap in basic skills but differ in work environment and scope.

Does online data entry really pay?

Online data processing jobs typically pay based on the amount of data entered or completed, with rates varying by employer and project complexity. Many positions offer hourly wages or per-task payments, and reliable work often requires accuracy and speed. Earnings can range from minimum wage to higher rates for experienced data processors, but consistent income depends on workload and skill level.

What cities near El Sobrante, CA are hiring for Online Data Processor jobs?

Cities near El Sobrante, CA with the most Online Data Processor job openings:

Online Data Processor jobs near you
Infographic showing various Online Data Processor job openings in El Sobrante, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $45,443 per year, or $21.8 per hour.

Data Scientist ll - Digital Intelligence

Socure

San Francisco, CA • On-site

$140K - $170K/yr

Full-time

Re-posted 8 days ago

Job description

Why Socure?
Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading.
Job Summary:
Socure is the leading provider of digital identity verification and fraud prevention solutions, using AI and machine learning to power accurate identity trust decisions. Our mission is to eliminate identity fraud and ensure online trust across industries.
We are seeking a Data Scientist II to join our Digital Intelligence team. In this role, you will develop machine learning features, analytical methods, and production-oriented risk signals using device, network, browser, mobile, API, session, and behavioral telemetry.
This is a hands-on role for a data scientist who can independently deliver well-scoped projects, work with complex and noisy data, and partner with engineering, product, and risk teams to improve fraud detection, identity confidence, and customer outcomes. You will deepen your expertise in Digital Intelligence while contributing to models and signals used in real-world production decisions.
Job Responsibilities:
  • Develop machine learning features, models, and analytical methods for device, network, browser, mobile, session, and behavioral intelligence.
  • Work on scoped fraud and identity risk problems where data quality, labels, telemetry coverage, and product tradeoffs need careful analysis.
  • Build features from large-scale, high-cardinality, sparse, noisy, and platform-dependent telemetry.
  • Analyze signal patterns such as spoofing, emulator behavior, automation, proxy/VPN usage, low-entropy fingerprints, telemetry gaps, and device or session fragmentation.
  • Design and execute validation analyses, including train/test splits, holdout checks, leakage review, drift assessment, customer impact analysis, and feature stability review.
  • Use supervised, unsupervised, statistical, and heuristic approaches to identify durable fraud and identity risk signals.
  • Investigate imperfect labels, delayed outcomes, instrumentation gaps, and changing fraud patterns to distinguish useful signal from data artifacts.
  • Partner with senior data scientists, engineering, product, risk, and platform teams to clarify requirements, prepare data, implement features, and support production rollout.
  • Contribute to model documentation, feature definitions, explainability materials, dashboards, and production-readiness reviews.
  • Communicate methods, assumptions, findings, limitations, and recommendations clearly to technical and cross-functional stakeholders.
  • Support junior data scientists and analysts through code review, analytical feedback, and sharing effective modeling and validation practices.

Job Requirements:
  • Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, Data Science, or a related quantitative field, or equivalent practical experience.
  • 5+ years of experience in data science, applied machine learning, statistical modeling, analytics engineering, or a related technical role.
  • Experience building, evaluating, and improving machine learning models, features, analytical pipelines, or risk signals.
  • Strong SQL skills and experience working with large-scale, complex datasets.
  • Strong proficiency in Python and experience with data science libraries such as pandas, NumPy, scikit-learn, XGBoost, TensorFlow, PyTorch, or similar.
  • Experience with distributed data processing tools such as Spark, PySpark, Databricks, or equivalent frameworks.
  • Solid understanding of supervised learning, unsupervised learning, feature engineering, model evaluation, statistical validation, and experiment analysis.
  • Ability to work with noisy data, imperfect labels, missing values, instrumentation gaps, and changing data distributions.
  • Strong analytical judgment across data quality, feature design, model selection, explainability, and business impact.
  • Experience collaborating with engineering, product, analytics, or risk teams to move data science work toward production or operational use.
  • Clear communication skills, including the ability to explain technical work, assumptions, tradeoffs, and results to non-specialist stakeholders.
  • Ability to operate independently on defined problem areas while seeking guidance appropriately on ambiguous or high-risk decisions.

Preferred Qualifications:
  • Background in fraud detection, identity verification, trust and safety, anomaly detection, cybersecurity, risk modeling, or another adversarial data domain.
  • Experience with device intelligence, browser/mobile fingerprinting, behavioral biometrics, network intelligence, VPN/proxy detection, or telemetry signal processing.
  • Experience developing features from high-cardinality categorical data using techniques such as aggregation, frequency encoding, target encoding, embeddings, graph features, or representation learning.
  • Familiarity with production ML workflows, model monitoring, feature monitoring, or batch and near-real-time decisioning systems.
  • Experience with dashboarding, model explainability, feature documentation, or customer-impact analysis.
  • Interest in adversarial behavior, fraud patterns, telemetry quality, and applied ML systems that operate in real-world production environments.

What You'll Gain
You will work on meaningful data science problems in fraud prevention and identity verification, using high-scale Digital Intelligence telemetry to build features and risk signals that contribute to real-world production decisions.
You will gain deeper experience with device, network, browser, mobile, session, and behavioral intelligence while working closely with senior data scientists, engineering, product, and risk partners. This role offers the opportunity to grow from independently delivering scoped modeling projects toward owning broader workstreams and developing Senior-level technical judgment over time.
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.
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