ZipRecruiter

Log In

1

Data Processor Jobs in Phoenix, AZ (NOW HIRING)

Nova Home Loans

Processor

Scottsdale, AZ · On-site

$19 - $25.25/hr

The Processor reviews, analyzes, and prepares mortgage loan files for underwriting and closing by ... Verify accuracy of data entered into the loan origination and related systems. * Analyze loan files ...

Arka Infotech Inc

Big Data Architect Developer

Phoenix, AZ

$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 ...

Pyramid Consulting

Data Entry Operator

Phoenix, AZ · On-site

Enters and verifies all data processed via data-entry. * Completes and passes work according to predetermined schedules. * Maintains knowledge of data entry procedures and can identify when program ...

Paychex

Data Solutions Engineer

Tempe, AZ

$98K - $160K/yr

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

Apex Systems

Lead Data Engineer - AZ, NC

Chandler, AZ · On-site

$65 - $70/hr

Lead moderately complex initiatives within technology and contribute to large-scale data processing framework initiatives. * Design, develop, and maintain ETL pipelines using Ab Initio and Spark.

blueStone

Big Data Architect

Phoenix, AZ

$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 ...

Sonsoft Inc

Big Data Consultant

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 ...

Stellar IT Group

Data Engineer

Phoenix, AZ · On-site

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 ...

Sonsoft Inc

Big Data Consultant

Phoenix, AZ · On-site

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 ...

Sonsoft Inc

Big Data Consultant

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

Sr.Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Implementation of various solutions arising out of the large data processing (GB's/ PB's) over various NoSQL, Hadoop, and MPP-based products Active participation in the various Architecture and ...

Judge Group, Inc.

Data Engineer

Scottsdale, AZ · On-site

$60 - $70/hr

Identifies, designs, and implements internal process improvements: automates manual processes, optimizes data delivery, re-designs infrastructure for greater scalability, etc. Designs and builds the ...

Oscar Health

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

Help ensure data science processes and outputs align with broader team strategies and roadmaps ... Provide guidance or informal mentorship to junior data scientists or analysts when needed

next page

Showing results 1-20

All JobsData Processor JobsData Processor Jobs in Phoenix, AZ

Data Processor information

See Phoenix, AZ salary details

$11

$19

$33

How much do data processor jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for data processor in Phoenix, AZ is $19.52, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $21.54 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 the most commonly searched types of Data Processor jobs in Phoenix, AZ? The most popular types of Data Processor jobs in Phoenix, AZ are:
What are popular job titles related to Data Processor jobs in Phoenix, AZ? For Data Processor jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Data Processor jobs in Phoenix, AZ look for? The top searched job categories for Data Processor jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Data Processor jobs? Cities near Phoenix, AZ with the most Data Processor job openings:
Data Processor jobs near you
Infographic showing various Data Processor job openings in Phoenix, AZ 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 $40,598 per year, or $19.5 per hour.
Data Engineer (Snowflake) - Hybrid

Data Engineer (Snowflake) - Hybrid

Cayuse Holdings

Phoenix, AZ • Hybrid

$70 - $75/hr

Full-time

Posted 19 days ago

Job description

Overview

JOB TITLE: Data Engineer (Snowflake)

LOCATION: Phoenix, AZ (Hybrid)

EMPLOYEE TYPE: Contractor (1099/C2C)

PAY RATE: $70-75 per hour

**This position is posted for future opportunities. Please submit your application to be considered for similar upcoming roles**

Cayuse Commercial Services (CCS) delivers fresh solutions to business challenges in the technology and business services environment. Services available are application development, business process outsourcing, data services, and professional services. Cayuse helps clients to achieve impactful outcomes such as improved efficiency, reduced cost, increased profitability and accelerated time to market.


Responsibilities

We are seeking a highly skilled Snowflake Data Engineer to join our data engineering team. The ideal candidate will have a deep understanding of Snowflake’s data platform and strong expertise in SQL, Python, and data reporting tools such as Tableau. The Snowflake Data Engineer will be responsible for designing, implementing, and optimizing data pipelines, as well as developing analytics capabilities to support business intelligence and decision-making across the organization. This position requires a collaborative, detail-oriented professional with experience in real-time data ingestion, advanced analytics, and managing complex data environments.

Key Responsibilities:
  • Data Analysis and Reporting: Utilize SQL window functions to perform advanced data calculations, such as running totals, moving averages, and rankings, enabling deeper insights into sales trends and performance metrics.
  • Automated Insights: Prepare and automate detailed real-time reports using Python and SQL, providing actionable insights to stakeholders and enhancing the company’s decision-making processes.
  • Pipeline Development: Develop and optimize data pipelines using Snowpipe and SnowSQL for real-time and batch data ingestion, achieving improved data processing efficiency by 20%.
  • Data Applications Development: Implement Snowpark to build scalable and high-performance data applications using Python, enhancing data manipulation, analysis, and processing capabilities.
  • Data Recovery and Auditing: Leverage Snowflake’s Time Travel features to enable auditing, data recovery, and version control, ensuring data integrity and regulatory compliance.
  • Environment Management: Manage Snowflake's Zero Copy Cloning to create cost-effective development, testing, and staging environments without incurring additional storage costs.
  • Data Visualization: Collaborate with product managers to develop dynamic dashboards on Tableau, enabling tracking of key supply chain metrics and effectively identifying Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs).

Qualifications

Required Qualifications:
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field. Equivalent work experience may be considered.
  • Proven experience working with Snowflake Data Cloud and its key functionalities, including Snowpark, Snowpipe, and Time Travel.
  • Proficiency in programming with Python for data processing and analytics.
  • Advanced SQL skills, including working with window functions for complex calculations and analysis.
  • Experience developing interactive dashboards with Tableau or similar visualization tools.
  • Strong understanding of data engineering best practices, including data integrity, compliance, and real-time data ingestion techniques.
  • Familiarity with cloud data architecture and concepts such as Zero Copy Cloning and scalable application development.
Preferred Qualifications:
  • Certification in Snowflake or related cloud data platforms (e.g., AWS, Azure, GCP).
  • Experience in supply chain analytics or supporting business systems in a large-scale environment.
  • Strong collaboration skills and ability to work cross-functionally with product managers, analysts, and other engineering teams.

Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local law.