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Data Processor Jobs in Arizona (NOW HIRING)

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Optimize SQL queries and improve data processing performance. * Work with cloud-based data platforms and big data technologies. * Monitor, troubleshoot, and resolve data pipeline issues.

This role focuses on finance process analysis and data solution design within a FODI Product context, specifically for credit card data products. The individual will collaborate with Technology and ...

Data Architect

Phoenix, AZ · On-site

$62 - $79.75/hr

This role requires a deep understanding of data architecture, data warehousing, ETL processes, and cloud-based data platforms. The ideal candidate will work closely with business stakeholders, data ...

... processing tasks using Spark/Python for cleansing and curating to populate analytical models • Familiarity with data models and business processes in Learning &/or Recruiting modules of Oracle ...

Big Data

Phoenix, AZ

$52.50 - $68.25/hr

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 ...

Data Engineer

Globe, AZ · On-site

$108K - $130K/yr

Are you excited about designing real-time data processing systems that can handle millions of transactions per second? Do you aspire to build fault-tolerant, highly available data pipelines that ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

PySpark & Spark Python Hadoop Ecosystem SQL Data Engineering & ETL Development DataFrame-based Processing Large-Scale Data Processing Enterprise Big Data Platforms Agile Methodologies Nice-to-Have ...

Lead Data engineer

Chandler, AZ · On-site

$116K - $140K/yr

Lead Data Engineer Location: Chandler.,AZ Work Schedule: Hybrid Duration: 6 months Top Skills: * Ab ... The role will be analyzing new development requests, designing and developing new ETL processes ...

AWS Data Architect

Phoenix, AZ · On-site

$62 - $79.75/hr

Job Summary We are looking for a Data Architect This role requires a deep understanding of data architecture data warehousing ETL processes and cloudbased data platforms The ideal candidate will work ...

Data Solutions Engineer

Tempe, AZ · On-site +1

$91K - $156K/yr

Build and optimize data pipelines to support data extraction, transformation, and loading (ETL) processes using technologies such as Databricks, Snowflake, and Informatica IDMC. Develop automation ...

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.

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.

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Data Processor information

See Arizona salary details

$11

$18

$32

How much do data processor jobs pay per hour?

As of Jul 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 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.
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 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:
Infographic showing various Data Processor job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,282 per year, or $18.9 per hour.
Data Engineer

Data Engineer

Vultus Inc

Phoenix, AZ

$113K - $136K/yr

Full-time

Medical, PTO

Posted 4 days ago


Job description

Data Engineer

Location

Hyderabad, India (Hybrid)

Employment Type

Full-Time

Experience

3–7 Years

Salary

₹8 LPA – ₹18 LPA (Based on experience and skills)

Job Summary

We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure. The ideal candidate should have experience working with large datasets, cloud platforms, ETL processes, and data warehousing solutions. You will collaborate with data analysts, data scientists, and software engineers to ensure reliable and efficient data processing.

Key Responsibilities
  • Design, develop, and maintain scalable ETL/ELT pipelines.
  • Build and optimize data models and data warehouses.
  • Integrate data from multiple sources into centralized repositories.
  • Ensure data quality, consistency, and governance.
  • Optimize SQL queries and improve data processing performance.
  • Work with cloud-based data platforms and big data technologies.
  • Monitor, troubleshoot, and resolve data pipeline issues.
  • Collaborate with cross-functional teams to support business intelligence and analytics.
  • Implement data security and compliance best practices.
  • Document data architecture and technical processes.
Primary Skills
  • Python
  • SQL
  • Apache Spark
  • Apache Kafka
  • ETL/ELT Development
  • Data Warehousing
  • Snowflake
  • Apache Airflow
  • Azure Data Factory (ADF)
  • AWS Glue
  • Databricks
  • Git
Secondary Skills
  • Hadoop Ecosystem
  • Docker
  • Kubernetes
  • Terraform
  • Power BI
  • Tableau
  • Linux
  • CI/CD Pipelines
  • REST APIs
  • Data Governance
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 3–7 years of experience in Data Engineering.
  • Strong programming skills in Python and SQL.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Hands-on experience with ETL tools and data pipelines.
  • Strong understanding of relational and NoSQL databases.
  • Knowledge of distributed data processing frameworks.
Preferred Qualifications
  • Experience with Databricks or Snowflake.
  • Cloud certifications (AWS, Azure, or GCP).
  • Experience with streaming platforms like Kafka.
  • Knowledge of DevOps and Infrastructure as Code.
Soft Skills
  • Excellent analytical and problem-solving skills.
  • Strong communication and collaboration abilities.
  • Ability to work in Agile environments.
  • Good time management and organizational skills.
  • Quick learner with a proactive attitude.
Benefits
  • Competitive salary package
  • Health insurance
  • Performance bonus
  • Flexible work environment
  • Learning and certification support
  • Paid leave and holidays
  • Career growth opportunities
  • Employee wellness programs