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Data Processing Jobs in Phoenix, AZ (NOW HIRING)

MSR Technology Group

Senior Data Engineer

Scottsdale, AZ · On-site

$106K - $145K/yr

Architects and develops code for large-scale ETL pipelines with data processing frameworks supporting distributed data warehouse and distributed analytic systems running in the cloud. * Leads side-by ...

Pwc

Data Engineer - Manager

Phoenix, AZ · On-site

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Career Guidant

Big Data with Financial Services

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 ...

RIT Solutions, Inc.

AWS data engineer

Chandler, AZ · On-site

$63.50 - $83.50/hr

The role involves utilizing AWS services and data engineering skills to manage and process data effectively. Responsibilities : • Must have: aws data, datazone, databricks, glue or spark, python ...

Perficientcorp Inc

Python Data Engineer

Phoenix, AZ · On-site

PySpark & distributed data processing Python API development using FastAPI or Flask Google Cloud Platform (GCP): BigQuery, Composer, DAGs, Cloud Storage Batch and real-time data pipeline development ...

Stem Xpert

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

... data-intensive, distributed environments. 2. Should have worked on open source products and ... Should have experience/ knowledge on working with batch processing/ Real time systems using various ...

Tekdoors

Big Data Developer (GCP) - Need Locals

Phoenix, AZ · On-site

$52.50 - $68.25/hr

Develop scalable ETL/ELT workflows for batch and real-time data processing. Work with distributed systems using technologies like Apache Spark, Hadoop, Hive, and Kafka. Optimize data pipelines for ...

Tiger Analytics Inc.

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting. * Proven experience with GCP services such as: BigQuery, Dataflow / Apache Beam, Dataproc, Pub/Sub, Cloud ...

Tiger Analytics Inc.

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting. * Proven experience with GCP services such as: BigQuery, Dataflow / Apache Beam, Dataproc, Pub/Sub, Cloud ...

Tiger Analytics Inc.

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting. * Proven experience with GCP services such as: BigQuery, Dataflow / Apache Beam, Dataproc, Pub/Sub, Cloud ...

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All JobsData Processing JobsData Processing Jobs in Phoenix, AZ

Data Processing information

See Phoenix, AZ salary details

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How much do data processing jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data processing 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 are the key skills and qualifications needed to thrive in data processing, 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.

What is data processing?

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.

What do you do as a data processing?

A data processing professional manages the collection, organization, and transformation of raw data into usable formats. This involves tasks such as data entry, cleaning, validation, and using tools like spreadsheets or specialized software to ensure data accuracy and readiness for analysis or reporting.

How do I get into data processing?

To enter data processing, develop skills in data management, programming languages like Python or SQL, and familiarity with data tools such as Excel or database systems. A relevant degree in computer science, information technology, or related fields can be helpful, and gaining experience through internships or entry-level positions can improve job prospects.
What are the most commonly searched types of Data Processing jobs in Phoenix, AZ? The most popular types of Data Processing jobs in Phoenix, AZ are:
What are popular job titles related to Data Processing jobs in Phoenix, AZ? For Data Processing jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Phoenix, AZ look for? The top searched job categories for Data Processing jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Data Processing jobs? Cities near Phoenix, AZ with the most Data Processing job openings:
Data Processing jobs near you
Infographic showing various Data Processing job openings in Phoenix, AZ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $41,854 per year, or $20.1 per hour.

Senior Data Engineer - Enterprise Data Frameworks (Java Spark Focus)

Citizens

Phoenix, AZ • On-site, Remote

$105K - $158K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

Job description

Description

Senior Java Data Engineer
Enterprise Data Frameworks

Role Summary

The Enterprise Data Frameworks team is seeking a Senior Java focused software engineer who builds and maintains large scale data processing systems using Java, Apache Spark, and Kafka. This role is intended for experienced backend engineers with strong core Java fundamentals who apply traditional software engineering practices to data intensive platforms and distributed systems.

The ideal candidate has hands on experience developing production grade Java applications using modern frameworks and IntelliJ based development workflows, paired with practical experience building Spark based processing pipelines and Kafka driven data ingestion services. In this role, you will contribute to the core components of enterprise data frameworks, working closely with senior engineers and architects while remaining deeply involved in design and implementation.

This role requires strong Java engineering skills, the ability to debug and optimize complex Spark applications, and comfort operating in regulated environments where stability, data quality, and reliability are critical.

Key Responsibilities

Design, build, and maintain Java based data processing pipelines using Apache Spark for batch and streaming workloads
Develop and support Java based backend services and APIs that orchestrate data workflows and framework components
Apply solid object oriented design principles to distributed data processing systems
Optimize Spark applications for performance, reliability, and cost efficiency across cloud and on premises environments
Collaborate with architects and senior engineers on technical design and framework evolution
Partner with frontend and platform teams to integrate backend data services where applicable
Translate business and technical requirements into scalable, well structured engineering solutions
Participate in code reviews, contribute to shared standards, and mentor junior engineers
Ensure solutions align with data governance, security, and change management standards
Participate in Agile ceremonies and support continuous improvement of engineering practices

Required Skills and Experience

7+ years of experience as a software engineer or data engineer with strong emphasis on Java backend development
Strong hands on proficiency in Java, including object oriented design, debugging, and performance optimization
Experience building Spark applications in Java for large scale data ingestion and transformation
Practical experience with Apache Kafka and event driven data architectures
Experience developing Java based services using frameworks such as Spring Boot
Solid understanding of distributed systems concepts and data processing architectures
Familiarity with data lake technologies, columnar storage formats such as Parquet or Iceberg, and metadata driven frameworks
Experience using Git based workflows, CI CD pipelines, and modern development practices
Exposure to cloud environments, with preference for AWS based data platforms such as S3, EMR, Lambda, or API Gateway
Experience working in regulated or enterprise environments with strong data governance requirements

Preferred Experience

Experience collaborating with UI or platform teams to integrate backend data services
Experience with containerization and orchestration tools such as Docker or Kubernetes
Exposure to additional JVM or scripting languages such as Scala or Python in a data context
Experience with developer productivity or automation tooling

Education

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field

Work Details

Hours per Week 40
Location Hybrid, 4 days on site from a Citizens corporate office, 1 day remote
Schedule Monday through Friday

Pay Transparency

The salary range for this position is $105,000-158,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.  

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of very local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits.

#LI-Citizens1

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST

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