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Java Data Engineer Jobs in Arizona (NOW HIRING)

GCP Data Engineer

Phoenix, AZ · On-site

$125 - $150/hr

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 ...

Data engineer with Java, Kafka, K SQL

Phoenix, AZ · On-site

$113K - $136K/yr

Keylent Inc is seeking a Data Engineer with expertise in Java, Kafka, and K SQL. The role involves designing, developing, and supporting distributed database systems while participating in the entire ...

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

$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 Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

They are seeking a GCP Big Data Engineer to help build and enhance their Big Data applications ... Required : • Strong analytical skills • Experience with Java • Experience with Scala • ...

Data Engineer /Data tester

Tempe, AZ · On-site

$111K - $133K/yr

Syntricate Technologies is seeking a Data Engineer/Data tester to join their team. The role ... Java Script, C#, and Python preferred • Ability to work closely with developers and quality ...

Big Data Engineer

Phoenix, AZ · On-site

$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.Big Data Engineer

Phoenix, AZ · On-site

$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 ...

Bigdata engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

... Java). • Hands-on expertise with application design and software development in Big Data (Spark(Pyspark), HIVE). • Experience with CICD pipelines, Automated test frameworks, DevOps and source ...

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 ...

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 ...

Java Engineer

Phoenix, AZ · On-site

$51.50 - $70.50/hr

Spring Boot - WebFlux, Reactor 3, Spring Data, REST * Reactive and functional programming in Java * Vert.x for asynchronous reactive microservices * OpenAPI / Swagger specification * NoSQL database ...

Showing results 21-40

Java Data Engineer information

See Arizona salary details

$24

$56

$79

How much do java data engineer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for java data engineer in Arizona is $56.31, according to ZipRecruiter salary data. Most workers in this role earn between $46.35 and $63.61 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 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 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 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 popular job titles related to Java Data Engineer jobs in Arizona?

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

What cities in Arizona are hiring for Java Data Engineer jobs?

Cities in Arizona with the most Java Data Engineer job openings:

Infographic showing various Java Data Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $117,121 per year, or $56.3 per hour.

GCP Data Engineer

Phoenix, AZ • On-site

Tiger Analytics, LLC
Business Management Consulting • 201 - 500 employees

$125 - $150/hr

Other

Re-posted just now


Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals.

  • 5+ years of experience in data engineering, with at least 3+ years working extensively on GCP.
  • 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 Storage, Cloud Composer (Airflow), Cloud Functions
  • Experience in building large-scale ETL/ELT pipelines and optimizing query performance on cloud platforms.
  • Solid understanding of data modeling, partitioning, and schema design for analytical workloads.
  • Familiarity with CI/CD practices, Terraform, and version control (e.g., Git).
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.

Disclaimer
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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