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Data Processor Jobs in Phoenix, AZ (NOW HIRING)

Data Engineer

Tempe, AZ · On-site

$111.40K - $133.80K/yr

Automate manual data processes to improve efficiency, consistency, and data quality * Maintain and improve existing data infrastructure, pipelines, and reporting data flows * Work with the product ...

Data Engineer

Tempe, AZ · On-site

$109.70K - $131.70K/yr

Automate manual data processes to improve efficiency, consistency, and data quality * Maintain and improve existing data infrastructure, pipelines, and reporting data flows * Work with the product ...

Data Engineer

Tempe, AZ

$109.70K - $131.70K/yr

Automate manual data processes to improve efficiency, consistency, and data quality * Maintain and improve existing data infrastructure, pipelines, and reporting data flows * Work with the product ...

Data Engineer

Tempe, AZ

$109.70K - $131.70K/yr

Automate manual data processes to improve efficiency, consistency, and data quality * Maintain and improve existing data infrastructure, pipelines, and reporting data flows * Work with the product ...

... 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 · On-site

$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

Phoenix, AZ

$113.70K - $136.50K/yr

Create and maintain scalable ETL (Extract, Transform, Load) processes to gather, process, and store data from various sources. Optimize data pipelines for performance and reliability. Database ...

Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Create and maintain scalable ETL (Extract, Transform, Load) processes to gather, process, and store data from various sources. Optimize data pipelines for performance and reliability. * Database ...

Data Engineer

Phoenix, AZ

$113.70K - $136.50K/yr

Build and optimize batch and streaming data pipelines for real-time and historical data processing. * Support the full development lifecycle: ingestion, modeling, testing, deployment, monitoring, and ...

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 ...

Fabric Developer / Sr. Data Engineer

Phoenix, AZ

$113.70K - $136.50K/yr

Implements automation for data processing and integration workflows, reducing manual intervention. * Works with Platform Architects to ensure infrastructure supports data requirements. * Partners ...

Principal Data Engineer

Tempe, AZ

$111.30K - $133.70K/yr

As part of the Data Engineering team you will tackle the scalability, performance and distributed computing challenges needed to collect, process and store data for a $2B customer eCommerce, images ...

Principal Data Engineer

Tempe, AZ

$111.30K - $133.70K/yr

As part of the Data Engineering team you will tackle the scalability, performance and distributed computing challenges needed to collect, process and store data for a $2B customer eCommerce, images ...

Principal Data Engineer

Tempe, AZ

$111.40K - $133.80K/yr

As part of the Data Engineering team you will tackle the scalability, performance and distributed computing challenges needed to collect, process and store data for a $2B customer eCommerce, images ...

Data Engineer

Phoenix, AZ

$113.70K - $136.50K/yr

Implement incremental and snapshot data processing strategies. Perform performance tuning and cost optimization within Snowflake environments. Integrate orchestration tools to manage and schedule ...

Help document and maintain identified data owners and key data elements across loan processes * Ask thoughtful questions to identify gaps, inconsistencies, or unclear processes that may impact data ...

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Data Processor information

See Phoenix, AZ salary details

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$34

How much do data processor jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for data processor in Phoenix, AZ is $20.12, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $22.21 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 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 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 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:
Infographic showing various Data Processor job openings in Phoenix, AZ as of May 2026, with employment types broken down into 5% As Needed, 72% Full Time, 18% Part Time, and 5% Contract. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $41,854 per year, or $20.1 per hour.

Data Engineer

KUBRA

Tempe, AZ • On-site

$111.40K - $133.80K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

About Us
KUBRA provides customer experience management solutions to some of North America's largest utility, insurance, and government entities. From billing and payments to mapping and proactive communications, our solutions help organizations deliver seamless, reliable customer experiences at scale.
With a strong focus on innovation, security, and data-driven insights, KUBRA empowers millions of customers every day. Joining KUBRA means being part of a collaborative, forward-thinking team that values technology, continuous improvement, and delivering meaningful impact.
About the Role
We're looking for a Data Engineer to join our Product Development - Business Intelligence team. In this role, you'll design, build, and maintain scalable data infrastructure and cloud-based data pipelines that enable reliable data processing, reporting, and insights.
You'll work closely with BI Analysts, product teams, and cross-functional partners to ensure data is high-quality, accessible, and structured for analysis. This role supports business intelligence efforts by developing data models, improving ETL processes, automating manual workflows, and helping deliver reliable client-facing reporting solutions.
How You'll Contribute
  • Design, build, and maintain scalable cloud-based data pipelines and ETL processes to support BI and reporting solutions
  • Develop and maintain data infrastructure across SQL Server, AWS, and cloud-based data platforms
  • Build, troubleshoot, and optimize data pipelines using PySpark, Databricks, SQL, and cloud data services
  • Design and implement data models optimized for analytics, warehousing, and reporting use cases
  • Partner with BI Analysts to manage client reporting requirements and support data-driven insights
  • Automate manual data processes to improve efficiency, consistency, and data quality
  • Maintain and improve existing data infrastructure, pipelines, and reporting data flows
  • Work with the product Technical Writer to document data infrastructure, pipelines, models, and processes
  • Collaborate with Product, BI, Engineering, and Data Analytics teams to support reliable reporting and analytics solutions
  • Share technical knowledge with coworkers and contribute to continuous improvement of data systems and processes
  • Stay current with modern data engineering technologies, including Databricks, PySpark, cloud platforms, data modeling, and streaming data tools
  • Participate in client-facing sessions when needed, including design discussions, technical presentations, and training
Strengths That Shine in This Role
  • Strong problem-solving mindset with a focus on data quality, reliability, and continuous improvement
  • Ability to translate BI and reporting requirements into scalable technical data solutions
  • Strong communication skills and professionalism when working with internal teams and clients
  • Collaborative approach with the ability to build relationships across technical and non-technical teams
  • Ability to influence others, manage conflicts, and support productive technical discussions
  • Proactive and self-driven, with the ability to work independently in a results-focused environment
  • Strong organization and time management skills, especially when balancing multiple priorities
  • Comfortable troubleshooting issues, handling pressure, and supporting business-critical reporting needs
  • Willingness to share knowledge, document work clearly, and contribute to a cohesive team environment
Skills That Matter in This Role
  • Bachelor's or Master's degree in Computer Science, Statistics, Analytics, Data Engineering, or a related field
  • 3-5 years of cloud data engineering experience on a major cloud platform, preferably AWS
  • Hands-on experience building data pipelines in cloud environments
  • Demonstrable experience with PySpark
  • Hands-on experience with Databricks
  • Strong proficiency in SQL and experience working with SQL Server or similar relational databases
  • Hands-on knowledge of data modeling, data warehousing, and BI reporting concepts
  • Experience designing data models that support analytics, reporting, and business intelligence use cases
  • Familiarity with BI tools and reporting environments such as Power BI or Tableau
  • Experience maintaining, troubleshooting, and optimizing ETL/data pipeline processes
  • Experience with streaming data tools such as Kafka, Kinesis, or similar technologies is an asset
  • Experience documenting technical processes, data infrastructure, and pipeline logic
  • Ability to participate in occasional client-facing design sessions, presentations, or training as needed
Why You'll Love Working Here
  • Thrive in an award-winning, innovation-driven culture that champions growth, embraces diversity, and fosters inclusion for all. See our awards -
  • Earn competitive pay with annual performance-based bonuses that recognize your impact
  • Invest in your future with our 401(k) plan featuring company matching
  • Stay healthy with comprehensive medical, dental, and vision coverage, plus HSA and FSA options
  • Recharge with paid vacation and sick days - and a paid day off for your birthday
  • Make an impact with two paid volunteer days to give back to your community
  • Advance your skills with free access to LinkedIn Learning and our education reimbursement program
  • Prioritize your mental health with a free premium Headspace membership
  • Stay active with our on-site fitness center (Tempe office only)
  • Refuel at fully stocked refreshment stations with complimentary drinks and snacks
  • Enjoy exclusive perks with access to "Tickets at Work" discounts and memberships

KUBRA is an equal opportunity employer dedicated to building an inclusive and diverse workforce. We will provide accommodations during the recruitment process upon request by emailing [email protected]. Information received relating to accommodation will be addressed confidentially. We thank all applicants for their interest; however, only candidates under consideration will be contacted.
#LI-AA1
While we value the skills and experiences listed in our job requirements, we also recognize that talent comes in many forms, and welcome applications from candidates who meet most but not all specified requirements. If you possess a strong desire to learn and grow in a dynamic work environment, apply now!
KUBRA is a fast-growing company that delivers customer communications solutions to some of the largest utility, insurance, and government entities across North America. KUBRA offers billing and payments, mapping, mobile apps, proactive communications, and artificial intelligence solutions for customers. With more than 1.5 billion customer interactions annually, KUBRA services reach over 40% of households in the U.S. and Canada. KUBRA is an operating subsidiary of Hearst.
Our office is small enough to allow creative individuals to flourish, yet large enough to provide long-term stability. We place a tremendous amount of responsibility on our team members to be productive, focused and self-motivated. We offer a casual work environment, competitive compensation and a stellar benefits program.
KUBRA does not typically provide immigration-related assistance, including employment-based work visa (e.g. H-1B) sponsorship, work permit applications and extensions, permanent residence (green card) sponsorship, LMIA applications or permanent residency nominations. Candidates must ensure they have legal authorization to work in the U.S/ Canada. All sponsorship determinations are case by case based on business need.