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Data Processing Jobs in Arizona (NOW HIRING)

Sarian, Inc.

Data Engineering

Phoenix, AZ · On-site

... 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 ...

Futran Tech Solutions Pvt. Ltd.

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 ...

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 ...

Shutterfly

Principal Data Engineer

Tempe, AZ

$111K - $133K/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 ...

Globe Telecom, Inc.

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 ...

Shutterfly

Principal Data Engineer

Tempe, AZ

$111K - $133K/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 ...

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 ...

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 ...

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

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 ...

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Data Processing information

See Arizona salary details

$11

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How much do data processing jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for data processing 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 are the key skills and qualifications needed to thrive in the Data Processing position, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the typical daily responsibilities of someone working in Data Processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

Is a data processor a good job?

A data processing job involves organizing, inputting, and managing data using tools like spreadsheets and database software. It can offer steady employment and requires attention to detail, but may have repetitive tasks and limited advancement opportunities depending on the organization. Overall, it can be a suitable entry-level role for those interested in data management.

What is a Data Processing job?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

How can I make 2000 a week working from home?

Data processing jobs can pay varying rates depending on experience, complexity, and workload, with some freelancers earning $2000 or more weekly by taking on multiple projects or clients. To reach this income level, strong skills in data entry, analysis, or software tools are essential, along with efficient time management and possibly certification. Building a reliable client base and working consistently are key factors in achieving higher weekly earnings from home.

How much does data processing make?

Data processing jobs typically pay between $35,000 and $70,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with skills in data management and software tools can earn higher salaries.
What are the most commonly searched types of Data Processing jobs in Arizona? The most popular types of Data Processing jobs in Arizona are:
What are popular job titles related to Data Processing jobs in Arizona? For Data Processing jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Arizona look for? The top searched job categories for Data Processing jobs in Arizona are:
What cities in Arizona are hiring for Data Processing jobs? Cities in Arizona with the most Data Processing job openings:
Data Processing jobs near you

Data Engineering

Sarian, Inc.

Phoenix, AZ • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Must have 5-8 years of Data Engineering experience in a Big Data environment
• Strong Data transformation/ETL skills using Spark, Python, PySpark, HiveQL
• Must have hands on experience building data ingestion pipelines from Oracle Recruitment Cloud to a Big Data Environment cloud or on-prem
• Must have strong hands-on experience on 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 Fusion Cloud
• Data Savvy with strong analytical skills
• Capable of independently delivering work items and leading data discussions with Tech Leads, Architects, and Implementation Partners
• Prefer experience with CI/CD tools and code management processes
• Having prior experience on transition from Taleo to Oracle Fusion Cloud - nice to have
Roles & Responsibilities
• Must have hands-on experience for the required skill set mentioned above.
• Possess leadership ability to lead the deliverables independently without hand holding or assigning the work.
• Proactive in proposing design, new ideas and solutions.
• Work closely with client to understand the scope and liaise between Tech and product teams.
• Capable of independently delivering work items and leading data discussions with Tech Leads, Architects, and Implementation Partners

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