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Data Processor Jobs in Escondido, CA (NOW HIRING)

Qualcomm

Data Engineer, Senior Staff

San Diego, CA · On-site

$121K - $146K/yr

Strong proficiency in Python for framework development, data processing, and automation * Experience building data platforms that support multiple consumers and automated workflows Security ...

Veracyte

Lead Specimen Processor

San Diego, CA · On-site

$17.50 - $20.25/hr

... and data entry of requisitions. They are also responsible for keeping the lab in a clean and ... Lead Specimen Processors are knowledgeable in sample integrity issues and are a resource to others ...

Dexcom

Staff Data Engineer

San Diego, CA · On-site

Proficiency in Python development in cloud environments, including CI/CD pipeline construction with GitHub Actions, Infrastructure as Code with AWS CDK, and common libraries for data processing and ...

Griffin Funding, Inc.

Mortgage Processor

San Diego, CA · On-site +1

$55K - $80K/yr

Own the Process. Earn Like You Matter. Most mortgage companies treat processors like back-office support. At Griffin Funding, you're the operator who makes million-dollar deals close, and you're paid ...

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All JobsData Processor JobsData Processor Jobs in Escondido, CA

Data Processor information

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$12

$21

$36

How much do data processor jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data processor in Escondido, CA is $21.22, according to ZipRecruiter salary data. Most workers in this role earn between $16.88 and $23.41 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 job categories do people searching Data Processor jobs in Escondido, CA look for? The top searched job categories for Data Processor jobs in Escondido, CA are:
What cities near Escondido, CA are hiring for Data Processor jobs? Cities near Escondido, CA with the most Data Processor job openings:
Data Processor jobs near you
Infographic showing various Data Processor job openings in Escondido, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $44,139 per year, or $21.2 per hour.

Data Engineer, Senior Staff

Qualcomm

San Diego, CA • On-site

$121K - $146K/yr

Full-time

Re-posted 19 days ago

Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

51st of 242 rated software companies

Job description

Company:
Qualcomm Incorporated
Job Area:
Information Technology Group, Information Technology Group > IT Data Engineer
General Summary:
We are seeking a Senior Staff Data Engineer to design, build, and operate a modern, scalable data platform with Databricks Lakehouse as a core foundation.
In this role, you will focus on building reusable data frameworks, shared platform components, and standardized pipelines that enable teams to deliver data products efficiently and consistently. Your work will support analytics, reporting, and downstream advanced use cases (including AI and machine learning), with a strong emphasis on reliability, governance, developer productivity, and intelligent automation.
This is a hands-on role with meaningful ownership across data engineering, framework development, AI-driven automation, platform reliability, security, and cost management, while contributing to architectural decisions and data standards.
This role is full-time onsite (5 days per week) and can be based in San Diego, CA or Boulder, CO.
**This position is not eligible for Qualcomm immigration sponsorship.**
Minimum Qualifications:
• 7+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems or a related field.
OR
9+ years of IT-related work experience without a Bachelor's degree.
• 5+ years of work experience with programming (e.g., Java, Python).
• 3+ years of work experience with SQL or NoSQL Databases.
• 3+ years of work experience with Data Structures and algorithms.
What You'll Do
Data Engineering, Frameworks & AI-Driven Automation
  • Design, build, and maintain scalable batch and streaming data pipelines
  • Develop reusable data engineering frameworks, libraries, and templates for ingestion, transformation, validation, and publishing
  • Establish standardized patterns for data modeling, transformations, and pipeline orchestration
  • Implement end-to-end data workflows from raw ingestion to curated analytical datasets
  • Leverage AI-based techniques to automate and optimize data engineering workflows, such as:
    • Intelligent schema inference and evolution
    • Automated data quality checks and anomaly detection
    • Pipeline failure detection and self-healing mechanisms
    • Experience building AI-assisted or intelligent automation for:
    • Data quality monitoring
    • Pipeline observability
    • Cost or performance optimization
  • Ensure data quality, reliability, and performance across pipelines and shared frameworks
  • Support downstream consumers such as analytics, reporting, and AI/ML teams

Reliability, Operations & Intelligent Automation
  • Define and monitor SLIs/SLOs for data pipelines, frameworks, and platform availability
  • Participate in incident response, on-call rotations, and post-incident reviews
  • Apply AI-assisted monitoring and alerting to proactively detect performance issues, data drift, and operational anomalies
  • Implement security, compliance, and data governance controls across shared data assets
  • Drive performance tuning and cost optimization, including automated recommendations for resource utilization and workload optimization

Collaboration & Technical Leadership
  • Partner with analytics, application, and platform teams to understand common data needs and platform gaps
  • Drive adoption of standardized data frameworks, automation patterns, and best practices across teams
  • Contribute to data architecture decisions, platform standards, and design guidelines
  • Mentor junior engineers and provide technical guidance, including best practices for automating data workflows

Required Qualifications
Data Engineering, Frameworks & System Design
  • 8+ years of experience building and operating data platforms or distributed data systems
  • Proven experience designing and building reusable data engineering frameworks, libraries, or platform components
  • Strong experience designing scalable, reliable data pipelines using standardized patterns
  • Solid understanding of data modeling, storage formats, schema evolution, and query performance
  • Experience implementing automation in data pipelines, including rule-based or AI-assisted approaches
  • Ability to reason about architectural trade-offs across scalability, cost, reliability, and security

Cloud & Data Platform Experience
  • Strong hands-on experience with AWS, including IAM, networking, and multi-account setups
  • Proven experience with Databricks Lakehouse, including:
    • Delta Lake
    • Unity Catalog
  • Strong proficiency in Python for framework development, data processing, and automation
  • Experience building data platforms that support multiple consumers and automated workflows

Security & Communication
  • Understanding of cloud security best practices and data governance
  • Experience working in regulated or compliance-driven environments
  • Strong communication skills and the ability to drive adoption of shared frameworks and automation patterns across teams

Nice-to-Have
  • Experience building internal data platforms or enablement frameworks
  • Experience supporting AI/ML teams as platform consumers (without owning models)
  • Experience with data observability and monitoring tools
  • Experience with enterprise ingestion tools (e.g., Fivetran, HVR)
  • Experience with data lineage or metadata management
  • Familiarity with secret management tools (Vault or similar)
  • Experience optimizing Databricks performance and cost
  • Experience working with globally distributed teams

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$158,400.00 - $237,600.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.

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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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