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Data Processor Jobs in Arizona (NOW HIRING)

Panorama Mortgage Group LLC

Processor

Phoenix, AZ · On-site

$19.23 - $24.04/hr

Maintain quality and data integrity of all loan files. * Perform other duties as assigned ... One (1) to Three (3) years recent loan processing experience in the mortgage industry required

Panorama Mortgage Group LLC

Processor

Phoenix, AZ · On-site

$37K - $51K/yr

Description: The Loan Processor takes ownership of Residential Mortgage loan files after ... Maintain quality and data integrity of all loan files. * Perform other duties as assigned.

Panorama Mortgage Group LLC

Processor

Phoenix, AZ · On-site

$37K - $51K/yr

Description The Loan Processor takes ownership of Residential Mortgage loan files after Origination ... Maintain quality and data integrity of all loan files. * Perform other duties as assigned.

Sonsoft Inc

Big Data

Phoenix, AZ

Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture * Must have strong programming ...

Arka Infotech Inc

Big Data Architect Developer

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Design/ Architect/ Implement various solutions arising out of the large data processing (GB's/ PB's) over various NoSQL, Hadoop and MPP based products. Driving various Architecture and design calls ...

NucleusTeq

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Big Query background with data processing for large volumes * Another NO Sql DB is big plus - Spanner DB & Graph DB Qualifications: * Degree in Computer Science, Applied Mathematics, Engineering, or ...

NucleusTeq

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Big Query background with data processing for large volumes * Another NO Sql DB is big plus - Spanner DB & Graph DB Qualifications: * Degree in Computer Science, Applied Mathematics, Engineering, or ...

NucleusTeq

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Big Query background with data processing for large volumes * Another NO Sql DB is big plus - Spanner DB & Graph DB Qualifications: * Degree in Computer Science, Applied Mathematics, Engineering, or ...

Nucleusteq

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Big Query background with data processing for large volumes * Another NO Sql DB is big plus - Spanner DB & Graph DB Qualifications: * Degree in Computer Science, Applied Mathematics, Engineering, or ...

Inficare Technologies

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Write and optimise complex SQL queries for data processing and reporting * Collaborate with stakeholders to understand data requirements and deliver scalable solutions Required Skills * Hands-on ...

REPAY Company

Data Engineer

Tempe, AZ · On-site

$111K - $133K/yr

Develop ETL/ELT processes that support data warehousing, analytics, reporting, and business ... intelligence use cases. * Build and optimize Spark jobs, with a focus on performance, scalability ...

blueStone

Big Data Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Data processing; experience in Hadoop/MapReduce , SQL MPP, In Memory processing (gemfire). Analytics processing, OLAP, NoSQL , federated SQL. * Service platforms: cloud computing, PaaS, SaaS, virtual ...

Workway, Inc.

Be Seen First

Foreclosure Referrals Processor/ Document Processor

Phoenix, AZ · On-site

$19 - $20/hr

Ensure all data is accurately reflected in the case management system through web-based audit tools. * Additional duties: * * Managing communication with clients, vendors, and internal processors

Stellar IT Group

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Support and troubleshoot legacy data platforms built on SSIS and SQL Server, ensuring high availability and performance of critical data processes. * Identify, troubleshoot, and resolve data ...

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Data Processor information

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$11

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How much do data processor jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for data processor in Arizona is $18.89, 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 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 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 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.

How much does a data processor earn?

The average salary for a data processor typically ranges from $30,000 to $45,000 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. Many roles also offer 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 consistency. They often use software tools like spreadsheets or databases and may perform tasks such as data entry, validation, and updating records to support business operations.
More about Data Processor jobs

What are the most commonly searched types of Data Processor jobs in Arizona?

The most popular types of Data Processor jobs in Arizona are:

What are popular job titles related to Data Processor jobs in Arizona?

For Data Processor jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Data Processor jobs in Arizona look for?

The top searched job categories for Data Processor jobs in Arizona are:

What cities in Arizona are hiring for Data Processor jobs?

Cities in Arizona with the most Data Processor job openings:

What are popular job titles related to Data Processor jobs in AZ?

For Data Processor jobs in AZ, the most frequently searched job titles are:

Data Processor jobs near you
Infographic showing various Data Processor job openings in Arizona as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $39,282 per year, or $18.9 per hour.

Data Engineer -

Phoenix, AZ • On-site

Inabia Solutions and Consulting, Inc.
IT Services • 11 - 50 employees
Learn more about Inabia Solutions and Consulting, Inc.external

Contractor

Posted 18 days ago

Key responsibilities

  • Design and define enterprise-level database architectures, standards, patterns, and best practices

  • Design scalable database solutions encompassing data modeling, availability, resiliency, backup/recovery, replication, and disaster recovery

  • Collaborate with AI/ML and GenAI teams, providing architectural guidance on embeddings, vector databases/search, and RAG patterns

Job description

Overview
Inabia is seeking an experienced Data Engineer with strong expertise across data engineering, database architecture, cloud platforms, and application architecture. This role is responsible for designing and implementing reliable, scalable, secure, and high-performance data solutions in close collaboration with application architects, cloud engineers, data scientists, and application development teams. The ideal candidate brings hands-on experience building scalable data pipelines and platforms, deep SQL and data modeling skills, working Python knowledge, and meaningful exposure to AI/ML and Generative AI technologies.
Responsibilities
  • Design and define enterprise-level database architectures, standards, patterns, and best practices
  • Evaluate and select relational, NoSQL, and cloud-native database technologies based on business and technical requirements
  • Design scalable database solutions encompassing data modeling, availability, resiliency, backup/recovery, replication, and disaster recovery
  • Provide platform expertise across PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, or similar systems
  • Design and support database solutions deployed on AWS, Azure, or GCP
  • Lead or support on-premises-to-cloud database migrations and modernization initiatives
  • Optimize database performance through query tuning, indexing, partitioning, and capacity planning
  • Establish and enforce database security standards including encryption, access controls, auditing, data protection, and regulatory compliance
  • Use Python for database automation, scripting, data processing, validation, and operational tasks
  • Collaborate with AI/ML and GenAI teams, providing architectural guidance on embeddings, vector databases/search, and RAG patterns
  • Create and maintain architecture diagrams, database standards documentation, and technical reference materials
  • Provide technical leadership, conduct architecture reviews, support troubleshooting efforts, and mentor team members

Key Qualifications
  • Strong experience in database architecture, engineering, or administration at enterprise scale
  • Deep understanding of relational database concepts: SQL, data modeling, normalization, indexing, transactions, and performance optimization
  • Hands-on experience with one or more major database platforms (PostgreSQL, Oracle, SQL Server, MySQL, MongoDB, or equivalent)
  • Hands-on experience with AWS, Azure, or GCP managed database services
  • Solid understanding of cloud architecture principles: scalability, high availability, security, monitoring, backup, and disaster recovery
  • Demonstrated experience with database migration and modernization projects
  • Basic to intermediate Python skills for scripting, automation, and data processing
  • Experience with cloud-native and distributed database architectures, Infrastructure as Code (IaC), and DevOps/CI/CD practices
  • Knowledge of database observability, monitoring, and automated operations
  • Experience with data governance, security, privacy, and regulatory compliance requirements
  • Proven track record supporting large-scale, high-volume, highly available enterprise systems
  • Strong problem-solving, analytical, written communication, and documentation skills

Preferred Qualifications
  • Familiarity with vector databases, embeddings, semantic search, large language models (LLMs), and Retrieval-Augmented Generation (RAG) patterns
  • Basic understanding of AI/ML and Generative AI concepts as they relate to data platform design

Apply