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Java Data Engineer Jobs in Phoenix, AZ (NOW HIRING)

S3, Glue, Macie) • Experience with SQL and NoSQL databases • Proficiency in programming languages like Python, Terraform, Scala or Java for data processing • Experience with ETL tools and ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building ... Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting. * Proven ...

AWS data engineer

Chandler, AZ · On-site

$63.50 - $83.50/hr

S3, Glue, Macie) • Experience with SQL and NoSQL databases • Proficiency in programming languages like Python, Terraform, Scala or Java for data processing • Experience with ETL tools and ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building ... Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting. * Proven ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building ... Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting. * Proven ...

Big Data Engineer

Phoenix, AZ

$55.25 - $73.25/hr

... Java experience, especially in an open source, data-intensive, distributed environments. 2. Should have worked on open source products and contribution towards it would be an added advantage. 3. ...

Sr. Java Engineer

Scottsdale, AZ · On-site

$124K - $164K/yr

Design, develop, and maintain scalable Java/Spring Boot microservices and REST APIs. * Build and ... Knowledge of Python , PySpark , ETL, or data engineering is highly desirable. * Familiarity with ...

Sr.Big Data Engineer

Phoenix, AZ

$55.25 - $73.25/hr

Sr. Big Data Engineer Location: Phoenix, AZ Job type: FTE Big Data exp.: 3+ years. Responsibilities ... Need candidate with strong Java/ J2EE background. Additional Information All your information will ...

Strong programming skills in Java, Scala, and/or Python with streaming frameworks * Familiarity with schema management * Experience integrating streaming data with downstream systems (data lakes ...

Java Engineer

Phoenix, AZ · On-site

$51.50 - $70.50/hr

Spring Boot (WebFlux, Reactor 3), Spring Data, REST * Java functional and reactive programming * Asynchronous reactive microservices using Vert.x * OpenAPI (Swagger) specification * NoSQL database ...

Java Engineer

Phoenix, AZ · On-site

$50.25 - $69/hr

Spring boot (webflux , Reactor 3), spring-data, REST * Java functional and reactive programming * Test Driven Development * Asynchronous Reactive Micro services utilizing Vert.x * REST APIs using ...

Senior Data Engineer (20187)

Phoenix, AZ · On-site

$97K - $132K/yr

Position Summary We are seeking a highly skilled Senior Data Engineer to design, build, and ... Proficiency in Python, SQL, and Java for building scalable data solutions. * Strong understanding ...

Senior Data Engineer (20187)

Phoenix, AZ

$97K - $132K/yr

Position Summary We are seeking a highly skilled Senior Data Engineer to design, build, and ... Proficiency in Python, SQL, and Java for building scalable data solutions. * Strong understanding ...

Showing results 21-40

Java Data Engineer information

See Phoenix, AZ salary details

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How much do java data engineer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for java data engineer in Phoenix, AZ is $60.00, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $67.79 per hour, depending on experience, location, and employer.

What is a Java data engineer?

A Java Data Engineer is a technology professional who designs, develops, and maintains data processing systems using Java programming language. They work with large datasets, build data pipelines, and ensure the efficient movement, transformation, and storage of data. Java Data Engineers often collaborate with data scientists, analysts, and other engineers to support data-driven decision-making in organizations. Their expertise typically includes Java, SQL, big data technologies like Hadoop or Spark, and cloud platforms. They play a crucial role in enabling reliable and scalable data infrastructure for businesses.

What is the difference between Java Data Engineer vs Python Data Engineer?

AspectJava Data EngineerPython Data Engineer
Required CredentialsBachelor's in Computer Science, Java certificationsBachelor's in Computer Science, Python certifications
Work EnvironmentBig data platforms, Java-based toolsData analysis, scripting, Python-based tools
Employer & Industry UsageFinancial services, enterprise systemsTech startups, data science projects
Common Search & ComparisonYesYes

Java Data Engineers and Python Data Engineers often share similar roles in data processing and engineering. The main difference lies in the programming languages used: Java is common in large-scale enterprise environments, while Python is favored for data analysis and scripting. Both roles require strong programming skills, but their toolsets and typical applications differ based on industry needs.

What are the most common challenges faced by Java data engineers when working with large-scale data pipelines?

Java Data Engineers often encounter challenges with optimizing the performance and scalability of data pipelines, especially as data volumes grow. They must ensure data integrity and consistency while managing distributed systems and integrating with various data sources. Debugging issues in real-time data processing and maintaining efficient, fault-tolerant code are also key hurdles. Collaborating closely with data scientists, database administrators, and DevOps teams is essential to overcome these challenges and deliver reliable data solutions.

What are the key skills and qualifications needed to thrive as a Java data engineer?

To thrive as a Java Data Engineer, you need strong programming skills in Java, a solid understanding of data structures, SQL, and experience with big data frameworks, often supported by a degree in computer science or a related field. Familiarity with data processing tools like Apache Spark, Hadoop, Kafka, and experience with cloud data platforms (e.g., AWS, GCP) or relevant certifications are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills for collaborating with teams and interpreting data requirements. These capabilities are essential for building reliable, scalable data solutions that support business intelligence and analytics needs.

What are popular job titles related to Java Data Engineer jobs in Phoenix, AZ?

For Java Data Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Java Data Engineer jobs in Phoenix, AZ look for?

The top searched job categories for Java Data Engineer jobs in Phoenix, AZ are:

Infographic showing various Java Data Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 49% Full Time, and 51% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $124,790 per year, or $60 per hour.

AWS data engineer

RIT Solutions, Inc.

Chandler, AZ • On-site

Full-time

Re-posted 29 days ago


Job description

Job Summary:
RIT Solutions, Inc. is seeking an AWS Data Engineer to join their team in Chandler, AZ. The role involves working with AWS services, data warehousing, and ETL tools to manage and process data effectively.
Responsibilities:
• Strong proficiency with AWS services (e.g. S3, Glue, Macie)
• Experience with SQL and NoSQL databases
• Proficiency in programming languages like Python, Terraform, Scala or Java for data processing
• Experience with ETL tools and frameworks (e.g. AWS Glue, Apache Spark)
• Familiarity with data modeling, schema design and data warehousing concepts
• Knowledge of CI/CD practices and version control systems
• Strong problem solving skills and attention to detail
• Experience with big data technologies like Hadoop, Spark or Kafka
• Knowledge of data governance and compliance frameworks
• Experience with IaC tools like Terraform
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering or related field
• 5+ years of experience as a Data Engineer or similar role
• Strong proficiency with AWS services (e.g. S3, Glue, Macie)
• Experience with SQL and NoSQL databases
• Proficiency in programming languages like Python, Terraform, Scala or Java for data processing
• Experience with ETL tools and frameworks (e.g. AWS Glue, Apache Spark)
• Familiarity with data modeling, schema design and data warehousing concepts
• Knowledge of CI/CD practices and version control systems
• Strong problem solving skills and attention to detail
• AWS Certification (e.g. AWS Certified Data Analytics, AWS Certified Solutions Architect)
• Experience with big data technologies like Hadoop, Spark or Kafka
• Knowledge of data governance and compliance frameworks
• Experience with IaC tools like Terraform
• Deep AWS Data knowledge
• DataZone & DataBricks
• Glue, Spark, ETL
• Python
• CI/CD pipelines
• Understanding of data warehouse/lakehouse design
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.