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Data Processing Jobs in Anaheim, CA (NOW HIRING)

Snowflake Data Engineer

Rosemead, CA ยท On-site

$116K - $140K/yr

Manage data pipelines, resolve ETL/ELT and data processing issues, and implement data observability and validation controls. * Ensure compliance with enterprise data standards, governance policies ...

Build and optimize large-scale distributed data processing jobs with a focus on scalability, fault-tolerance, and cost-efficiency. * Establish and enforce best practices for data quality, governance ...

Data Engineer III, Cloud

Fountain Valley, CA

$125K - $151K/yr

This role builds and manages data pipelines, data storage solutions, data processing frameworks, and cloud infrastructure to support enterprise reporting, analytics, and business intelligence ...

Responsibilities : โ€ข Very strong hands-on experience in in Python data engineering processing, Data processing development project. โ€ข Must have experience in AWS cloud services โ€ข Working ...

Data Engineer II

Long Beach, CA ยท On-site

$125K - $150K/yr

... processes. Qualifications : Required : โ€ข Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience. โ€ข 2+ years of experience in data engineering or ...

AWS Data Architect

Torrance, CA ยท On-site

$65.50 - $84.25/hr

Optimize data storage and processing costs by leveraging AWS cost optimization features. * Data Exchange * Develop the required governance, security, monitoring and guard rails to enable efficient ...

AWS Data Architect

Torrance, CA ยท On-site

$66.50 - $85.50/hr

Optimize data storage and processing costs by leveraging AWS cost optimization features. * Data Exchange * Develop the required governance, security, monitoring and guard rails to enable efficient ...

The ideal candidate will have a strong background in data visualization, data processing, and proficiency in Python. The Data Analyst will be responsible for transforming complex data into actionable ...

Sr Data Engineer

San Pedro, CA ยท On-site

$116K - $140K/yr

Create and maintain high-quality SQL queries, transformation logic, and reusable data processing components. * Ensure data quality by implementing validation rules, profiling checks, monitoring, and ...

Data Infrastructure Engineer

Los Angeles, CA ยท On-site

$115K - $151K/yr

Multi-modal data processing framework and applications * Storage and computation efficiency * AI model evaluation and productionization infrastructure * Collaborate with data scientists and machine ...

Data Scientist II

Los Angeles, CA ยท Hybrid

$131K - $172K/yr

Help ensure data science processes and outputs align with broader team strategies and roadmaps ... Provide guidance or informal mentorship to junior data scientists or analysts when needed

Showing results 41-60

Data Processing information

See Anaheim, CA salary details

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How much do data processing jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data processing in Anaheim, 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 data processing?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What are the typical daily responsibilities of someone working in data processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What are the key skills and qualifications needed to thrive in data processing, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the most commonly searched types of Data Processing jobs in Anaheim, CA?

The most popular types of Data Processing jobs in Anaheim, CA are:

What are popular job titles related to Data Processing jobs in Anaheim, CA?

For Data Processing jobs in Anaheim, CA, the most frequently searched job titles are:

What cities near Anaheim, CA are hiring for Data Processing jobs?

Cities near Anaheim, CA with the most Data Processing job openings:

Infographic showing various Data Processing job openings in Anaheim, CA as of August 2026, with employment types broken down into 90% Full Time, 5% Contract, and 5% Nights. Highlights an 100% In-person job distribution, with an average salary of $44,130 per year, or $21.2 per hour.

Snowflake Data Engineer

Rosemead, CA โ€ข On-site

Prophecy Technologies
Professional, Scientific, and Technical Servicesย โ€ขย 11 - 50 employees

$116K - $140K/yr

Full-time

Re-posted yesterday


Job description

Role Overview:
This role focuses on designing, developing, and maintaining robust data pipelines and data models using Snowflake and Palantir Foundry to support analytics, reporting, and AI/ML initiatives. The engineer will be responsible for ensuring high-quality, reliable data delivery and optimizing data assets for governed consumption and business insights.
Key Responsibilities:
  • Design, develop, and maintain scalable data ingestion, integration, transformation, and orchestration pipelines across enterprise applications, cloud platforms, data warehouses, and operational systems.
  • Utilize technologies such as Snowflake, Palantir Foundry, Snowpipe, Snowpark, dbt, and related cloud-native tools to ensure trusted, high-quality, and reliable data delivery for analytics, reporting, and AI/ML initiatives.
  • Build and optimize enterprise data models, data marts, ontology-driven data products, semantic layers, and reusable data assets within Snowflake and Palantir Foundry.
  • Enable governed data consumption, self-service analytics, operational applications, decision intelligence, and business insights through platforms like Power BI, Tableau, and ThoughtSpot.
  • Monitor, troubleshoot, and continuously improve platform performance, data quality, lineage, governance, security, operational reliability, and cost efficiency.
  • Manage data pipelines, resolve ETL/ELT and data processing issues, and implement data observability and validation controls.
  • Ensure compliance with enterprise data standards, governance policies, security requirements, and operational SLAs.

Required Skills:
  • Proficiency with Snowflake and Palantir Foundry.
  • Experience with data ingestion, integration, transformation, and orchestration pipelines.
  • Familiarity with Snowpipe, Snowpark, and dbt.
  • Knowledge of enterprise data modeling, data marts, and semantic layers.
  • Experience with analytics platforms such as Power BI, Tableau, and ThoughtSpot.
  • Ability to monitor and troubleshoot platform performance, data quality, and governance issues.

Qualifications:
  • Effectively collaborate with business stakeholders, data architects, analysts, and cross-functional teams.
  • Provide technical guidance, coordinate priorities, and ensure successful delivery of analytics initiatives.
  • Drive work planning, effort estimation, risk management, and process improvement.
  • Ensure adherence to governance, quality standards, and project timelines.