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Data Processor Jobs in Allen, TX (NOW HIRING)

S3 Staffing USA

Data Bricks Data Engineer

Plano, TX · On-site

$110K - $132K/yr

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 ...

The Reny Company

Medical Claim Processor

Plano, TX · On-site

$18.50 - $21/hr

The processor will work methodically as front-end support for our bill review department to ensure the proper sorting and organization of bills prior to data entry into our software system.

Photon

SPARK Data Onboarding Engineer- NJ

Addison, TX · On-site

We are seeking a skilled PySpark Data Engineer to join our team and drive the development of robust data processing and transformation solutions within our data platform. You will be responsible for ...

Sarian, Inc.

Data Analyst

Irving, TX · On-site

JD: Responsibilities: • Understand the current data processing and logic applied across multiple stages of the data flow. • Work on the data issues identified for Business and Technology ...

Photon

SPARK Data Onboarding Engineer- NJ

Addison, TX · On-site

We are seeking a skilled PySpark Data Engineer to join our team and drive the development of robust data processing and transformation solutions within our data platform. You will be responsible for ...

Tata Consultancy Services

Junior Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Responsibilities : • Design, develop, and maintain scalable ETL/ELT pipelines to process structured and unstructured data • Design, develop, and maintain data pipelines using Snowflake and dbt ...

PNC Bank

Data Scientist

Dallas, TX

Participates in the data gathering, data processing and data mining of large and complex datasets. * Develops algorithms using advanced mathematical and statistical techniques like machine learning ...

Tata Consultancy Services

Junior Data Engineer

Plano, TX · On-site

$110K - $132K/yr

The role involves designing, developing, and maintaining scalable ETL/ELT pipelines to process data, as well as collaborating with stakeholders to create effective data solutions. Responsibilities ...

Artius Solutions

Data Engineer

Dallas, TX · On-site

$60 - $65/hr

Integrate Kafka with Databricks for seamless data processing and analysis. * Optimize Kafka consumers and producers for performance and reliability. * Data Governance and Management (Unity Catalog)

Tata Consultancy Services

Junior Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Responsibilities : • Design, develop, and maintain scalable ETL/ELT pipelines to process structured and unstructured data • Design, develop, and maintain data pipelines using Snowflake and dbt ...

Sarian, Inc.

Sr. Pyspark Data Engineer

Irving, TX · On-site

$109K - $132K/yr

The ideal candidate will have expertise in big data processing, ETL pipeline development, and cloud-based data engineering solutions. You will work closely with data analysts, data scientists, and ...

Staffingine LLC

Data Architect

Dallas, TX · On-site

$63 - $81/hr

Integration Data Flow Design and implement data integration processes to synchronize master data across systems * Security Compliance Ensure master data security privacy and compliance with relevant ...

Apply Early

Diverse Lynx

Senior Data Architect

Irving, TX · On-site

$64.50 - $86.50/hr

... processing architectures. • Provide architecture guidance to development teams • Establish enterprise standards for master data management (MDM), reference data, and analytics enablement. • ...

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All JobsData Processor JobsData Processor Jobs in Allen, TX

Data Processor information

See Allen, TX salary details

$11

$18

$32

How much do data processor jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for data processor in Allen, TX is $18.85, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $20.82 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 Allen, TX? For Data Processor jobs in Allen, TX, the most frequently searched job titles are:
What job categories do people searching Data Processor jobs in Allen, TX look for? The top searched job categories for Data Processor jobs in Allen, TX are:
What cities near Allen, TX are hiring for Data Processor jobs? Cities near Allen, TX with the most Data Processor job openings:
Data Processor jobs near you

Data Bricks Data Engineer

S3 Staffing USA

Plano, TX • On-site

$110K - $132K/yr

Other

Posted 18 days ago

Job description

Title: Data Bricks Data Engineer Location: Seattle, WA / Bellevue, WA / Everett, WA / Renton, WA / Richardson, TX / Plano, TX / Dallas, TX / St. Louis, MO / Charleston, SC / Arlington, VA/Onsite

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.


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