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Data Processor Jobs in Santa Clara, CA (NOW HIRING)

Programmers.io

Data Platform Engineer

San Jose, CA · On-site

$134K - $161K/yr

Python - Data processing, analytics, scripting. Data Visualization Power BI - Dashboard creation, interactive reports. Tableau - Data visualization and analytics dashboards. Cloud & Data Platforms ...

Redolent, Inc.

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Solid understanding of data engineering concepts, database design, ETL processes and data mining. Proficiency in working with data technologies including SQL, Python, Spark, Scala, Hadoop and related ...

Sonsoft Inc

Big Data

Sunnyvale, CA

$62.25 - $80.75/hr

Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture. * Must have strong programming ...

Inficare Technologies

Snowflake Data Engineer

Santa Clara, CA · On-site

$134K - $161K/yr

Extensive knowledge of ETL/ELT pipeline development , covering extraction, transformation, validation, and loading processes. * Deep expertise in data modeling techniques , including dimensional ...

Glow Networks

Data Engineer

Mountain View, CA · On-site

$135K - $162K/yr

Leverage advanced tools like Databricks for big data processing, ensuring the data is accessible and usable for analytics and machine learning purposes. * Implement best practices in data security ...

Bayrock Labs

Principal Data Engineer

Milpitas, CA · On-site

$80 - $85/hr

CI/CD for Databricks workloads Big Data & Processing Frameworks * Apache Spark with advanced PySpark transformations * Structured Streaming & batch data pipelines * Delta Lake architecture ...

Versa Networks

Sr. Data Scientist

Santa Clara, CA · On-site

$150K - $220K/yr

Containerize data-processing jobs with Docker, orchestrate with Kubernetes, and manage releases with Helm charts. * Distributed Computing: * Build high-throughput data transformations using Dask or ...

Versa Networks

Sr. Data Scientist

Santa Clara, CA · On-site

$150K - $220K/yr

Containerize data-processing jobs with Docker, orchestrate with Kubernetes, and manage releases with Helm charts. * Distributed Computing: * Build high-throughput data transformations using Dask or ...

Sonsoft Inc

Big Data

Sunnyvale, CA

Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture. * Must have strong programming ...

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All JobsData Processor JobsData Processor Jobs in Santa Clara, CA

Data Processor information

See Santa Clara, CA salary details

$14

$23

$40

How much do data processor jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data processor in Santa Clara, CA is $23.80, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $26.25 per hour, depending on experience, location, and employer.

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

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

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

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What is a data processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelor’s degree in computer science or data management.

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

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

How much does a data processor earn?

The average salary for a data processor in the United States ranges from $30,000 to $50,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced data processors with specialized skills or certifications can earn higher wages. Salaries are often complemented by benefits such as health insurance and paid time off.

What do you do as a data processor?

A data processor collects, organizes, and manages data to ensure accuracy and accessibility. They often use software tools like spreadsheets or databases and may perform tasks such as data entry, validation, and updating to support business operations.
More about Data Processor jobs
What are the most commonly searched types of Data Processor jobs in Santa Clara, CA? The most popular types of Data Processor jobs in Santa Clara, CA are:
What are popular job titles related to Data Processor jobs in Santa Clara, CA? For Data Processor jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Data Processor jobs in Santa Clara, CA look for? The top searched job categories for Data Processor jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Data Processor jobs? Cities near Santa Clara, CA with the most Data Processor job openings:
Data Processor jobs near you
Infographic showing various Data Processor job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $49,506 per year, or $23.8 per hour.

Data Platform Engineer

Programmers.io

San Jose, CA • On-site

$134K - $161K/yr

Contractor

Re-posted 17 hours ago

Job description

Data & Analytics Technologies 

SQL – Advanced querying, data extraction, analysis.

Python – Data processing, analytics, scripting.

Data Visualization

Power BI – Dashboard creation, interactive reports.

Tableau – Data visualization and analytics dashboards.

Cloud & Data Platforms

AWS

Azure

Databricks

Familiarity with modern data platforms:

Data lakes

Data warehouses

Snowflake, Redshift

Data Engineering & Quality

Understanding of: Data models, Data pipelines, Data mappings

Data quality concepts: - Completeness, accuracy, consistency, timeliness

Ability to define validation rules, KPIs, and reconciliation logic.

Manufacturing & Operations Data Systems

Knowledge of: Manufacturing Execution Systems (MES), Test data systems, Supply chain systems, working with manufacturing event data, test logs, build data, quality metrics.