ZipRecruiter

Log In

1

Data Processor Jobs in Seattle, WA (NOW HIRING)

CGI Inc.

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Collects, stores, processes, and analyzes raw and/or complex data from multiple sources, recommends ways to apply the data, chooses and designs optimal data solutions, and builds data processing ...

Noblesoft Technologies

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Develop Python-based data processing solutions for automation and orchestration. * Monitor, troubleshoot, and optimize data workflows and pipelines. * Ensure data security, governance, and compliance ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer II

Seattle, WA · On-site

$130K - $156K/yr

Strong experience in Data Engineering , Python, Snowflake, SQL, Azure Hands-on expertise with ETL/data pipelines Experience with large-scale data processing frameworks Strong SQL and data modeling ...

QXO

Staff Software Engineer, Data

Seattle, WA · On-site

$175K - $400K/yr

As a technical leader, the principal data engineer will architect and build large-scale data systems that efficiently process massive datasets for AI-driven applications. The ideal candidate will ...

PitchBook Data

Sr. Data Engineer

Seattle, WA

$140K - $170K/yr

Consistently evolve data processes and techniques following industry best practices * Establish and help define reports and dashboards used to translate business data into insights, identify and ...

QXO

Staff Software Engineer, Data

Seattle, WA

$130K - $156K/yr

As a technical leader, the principal data engineer will architect and build large-scale data systems that efficiently process massive datasets for AI-driven applications. The ideal candidate will ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

... Process structured and unstructured data, validate data quality, and help design data quality tests in a big data environment • Facilitate end-to-end solution design reviews with other members of ...

PitchBook Data

Lead Data Engineer

Seattle, WA · On-site

$116K - $153K/yr

Establish coding standards, review processes, and develop best practices * Help bridge the gap ... Deeply understand Data Operations processes and identify opportunities for automation and ...

Comrise

PLM Data Analyst

Redmond, WA · On-site

$90/hr

In this role, you will support the work stream lead in leading a team of analysts, partner with cross-functional stakeholders, and collect, process, map, and analyze data to support the loading of ...

TerraPower

Data Architect

Bellevue, WA · On-site

$71.50 - $92/hr

... and process monitoring frameworks to ensure the health, reliability, and lineage of data across the enterprise.Architecture & Design • Design and evolve the enterprise data lake into a data ...

Amazon

Data Engineer, Partner Experience

Seattle, WA

$130K - $156K/yr

You will design, build, and maintain robust data infrastructure to process large volumes of data from various sources. - Writing clean, maintainable code that adheres to best practices - Leveraging ...

The Walt Disney Company

Data Engineer II

Seattle, WA

$130K - $156K/yr

Build, optimize and maintain large scale data processing jobs, pipelines and workloads * Improve data quality and reliability through implementing checks, anomaly detection, testing, monitoring and ...

New

next page

Showing results 1-20

All JobsData Processor JobsData Processor Jobs in Seattle, WA

Data Processor information

See Seattle, WA salary details

$13

$23

$39

How much do data processor jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for data processor in Seattle, WA is $23.06, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $25.43 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.

What are Data Processors?

Data Processors are professionals or organizations responsible for handling data on behalf of another organization, typically following specific instructions regarding how the data should be processed. Their main duties involve collecting, organizing, inputting, and maintaining data to ensure accuracy and compliance with data protection regulations. Data Processors play a crucial role in industries that require large-scale data management, such as healthcare, finance, and marketing. They must adhere to legal and contractual obligations, particularly regarding the privacy and security of the data they handle.
More about Data Processor jobs
What are popular job titles related to Data Processor jobs in Seattle, WA? For Data Processor jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Processor jobs in Seattle, WA look for? The top searched job categories for Data Processor jobs in Seattle, WA are:
Data Processor jobs near you
Infographic showing various Data Processor job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $47,971 per year, or $23.1 per hour.

Data Bricks Data Engineer

Tata Consultancy Service Limited

Seattle, WA • On-site

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

Job description

Must Have Technical/Functional Skills
• Awareness of IBM Data Stage ETL/ELT data integration tool to understand existing code.
• Develop , Test , Deploy ,Optimize, and monitor large-scale data processing workloads in Azure Data Bricks ETL.
• Ensure and lead the efforts to review Legacy Data Stage legacy code and migrated Data bricks code to ensure functionality is not deviated
• Strong programming skills in Python and PySpark.
• Advanced proficiency writing SQL for analytics and ETL processes.
• Proven experience building and optimizing complex data pipelines in Azure.
• Hands-on experience with Azure Databricks: cluster management, job scheduling, workspace governance.
• Strong working knowledge of core Azure services: Storage Account, Synapse, Key Vault, VMSS, Function Apps, Web Apps, Log Analytics Workspace, service principals, and managed identities.
• Experience with container services (ACA, container instances) and containerized data workloads.
• Familiarity with Azure networking concepts and secure network integration for data platforms.
• Experience creating Azure infrastructure using ARM templates.
• Proficient with GitLab and Azure DevOps for CI/CD and source control workflows.
• Strong analytical, problem-solving, and communication skills; proven ability to work cross-functionally.
• Experience working in Agile teams and understanding of data governance frameworks.
• Hands-on experience provisioning Databricks resources with Terraform; ability to author and maintain Terraform templates and modules.
• Demonstrated experience implementing cluster autoscaling and autoscaling policies through Terraform.
• Experience creating reusable Terraform modules and implementing infrastructure-as-code best practices (module structure, state management, remote backends).
• Proven experience working on Databricks platform operations, including cluster configuration, job orchestration, and platform optimization.
• Experience configuring high-availability Databricks deployments and operating across multiple availability zones/regions.
• Familiarity with Metastore/Unity Catalog configuration and metadata governance in Databricks.
• Hands-on experience building data pipelines and ingestion workflows into medallion-layer architectures (bronze/silver/gold).
• Strong scripting skills (Python, Bash, or similar) and familiarity with CI/CD for Terraform and Databricks deployments.
• Strong troubleshooting, performance tuning, and cost optimization skills.
Responsibilities
• Design, develop, and maintain end-to-end data pipelines and ETL/ELT workflows using PySpark and Python.
• Ensure and lead the efforts to review Legacy Data Stage legacy code and migrated Data bricks code to ensure functionality is not deviated
• Implement, optimize, and monitor large-scale data processing workloads in Azure Databricks, including cluster configuration, autoscaling, and governance.
• Build and maintain data integration and orchestration solutions using Azure services to meet performance, availability, and security requirements.
• Collaborate with data consumers, thread authors/owners, and stakeholders to gather business requirements, prioritize needs, and translate analytical objectives into technical designs.
• Implement secure data access patterns using Azure Active Directory, Managed Identities, and service principals.
• Author Infrastructure-as-Code for Azure resources (ARM templates) and deploy consistent, repeatable environments.
• Configure and operate Azure components including Storage Account, Synapse, Key Vault, VMSS, Function Apps, Web Apps, Log Analytics Workspace, Azure Container Apps / container instances, and related services.
• Collaborate with networking and security teams to design and implement Azure networking for data solutions.
• Implement monitoring, alerting, and cost optimization for data workloads (Log Analytics, metrics, and dashboards).
• Use GitLab and Azure DevOps for source control, CI/CD pipelines, and release management.
• Follow Agile/Scrum practices and participate in sprint planning, standups, and retrospectives.
• Ensure solutions meet data governance, lineage, and compliance requirements.
• Operations Support and Oncall Support for Production Issues and Deployments.
Base Salary Range : $120,000 to $140,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
#LI-SV2
#LI-KUMARAN

Apply