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Data Processing 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 ...

Amaze Systems Inc

Data Architect with Retail

Issaquah, WA

$73.50 - $94.50/hr

The ideal candidate will have expertise in data modeling, data warehousing, cloud data platforms, ETL/ELT processes, and data governance. Required Skills * 12+ years of experience in Data ...

Amazon

Data Engineer, Partner Experience

Seattle, WA · On-site

$130K - $156K/yr

PXBI empowers Prime Video partners with performance data to grow their businesses and builds data infrastructure to process big data. This infrastructure enables measurement of organizational product ...

Microsoft AI

Data Scientist

Redmond, WA · On-site

... data processing, and analysis • Solid statistical, experimental, and general engineering fundamentals Preferred : • Deep experience with LLMs, either training them or applying them in production ...

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 ...

Accenture

Data Engineer

Seattle, WA · On-site

$75 - $85/hr

Advance proficiency in Python, SQL, Data Pipelines and Data Processing * High School Diploma or GED Compensation at Accenture varies depending on a wide array of factors, which may include but are ...

Accenture

Data Engineer

Kirkland, WA · On-site

$75 - $85/hr

Advance proficiency in Python, SQL, Data Pipelines and Data Processing * High School Diploma or GED Compensation at Accenture varies depending on a wide array of factors, which may include but are ...

Accenture

Data Engineer

Redmond, WA · On-site

$75 - $85/hr

Advance proficiency in Python, SQL, Data Pipelines and Data Processing * High School Diploma or GED Compensation at Accenture varies depending on a wide array of factors, which may include but are ...

Amazon

Data Engineer, Partner Experience

Seattle, WA · On-site

$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 ...

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 ...

Adobe

Sr. Data Engineer

Seattle, WA

$130K - $156K/yr

Adobe Customer Solutions is looking for a full time Data Engineer with experience in building data ... Adobe aims to make our Careers website and recruiting process accessible to any and all users. If ...

Purple Drive Technologies

Databricks Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

This role focuses on designing, building, and deploying robust data pipelines and ETL processes within a cloud data platform environment. The ideal candidate will have strong expertise in Databricks ...

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All JobsData Processing JobsData Processing Jobs in Seattle, WA

Data Processing information

See Seattle, WA salary details

$13

$23

$39

How much do data processing jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for data processing 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 are the key skills and qualifications needed to thrive in the Data Processing position, 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 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 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.

Is a data processor a good job?

A data processing job involves organizing, inputting, and managing data using tools like spreadsheets and database software. It can offer steady employment and requires attention to detail, but may have repetitive tasks and limited advancement opportunities depending on the organization. Overall, it can be a suitable entry-level role for those interested in data management.

What is a Data Processing job?

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.

How can I make 2000 a week working from home?

Data processing jobs can pay varying rates depending on experience, complexity, and workload, with some freelancers earning $2000 or more weekly by taking on multiple projects or clients. To reach this income level, strong skills in data entry, analysis, or software tools are essential, along with efficient time management and possibly certification. Building a reliable client base and working consistently are key factors in achieving higher weekly earnings from home.

How much does data processing make?

Data processing jobs typically pay between $35,000 and $70,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with skills in data management and software tools can earn higher salaries.
What are popular job titles related to Data Processing jobs in Seattle, WA? For Data Processing jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Seattle, WA look for? The top searched job categories for Data Processing jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Data Processing jobs? Cities near Seattle, WA with the most Data Processing job openings:
Data Processing jobs near you
Infographic showing various Data Processing job openings in Seattle, WA as of June 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% 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

Posted 23 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.
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