1

Java Data Engineer Jobs in Arizona (NOW HIRING)

Senior Data Engineer (20187)

Phoenix, AZ

$97K - $132K/yr

  • Medical

  • Retirement

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 ...

Golang + Java Engineer

Phoenix, AZ · On-site

$50.25 - $69/hr

Role: Golang + Java Engineer Location: Phoenix, AZ onsite Type :- Contract We are seeking ... Design and optimize data models, queries, and integrations with PostgreSQL and Couchbase

Java Developer

Scottsdale, AZ · On-site

$51.50 - $66.50/hr

Role: Senior Java Developer Location: Scottsdale, AZ (100% Onsite) (Client interview will be in ... Work with Cloudera ecosystem for big data processing and management. * Implement and manage Apache ...

Golang + Java Engineer

Phoenix, AZ · On-site

$51.50 - $70.50/hr

Golang + Java Engineer Location: Phoenix, AZ (Onsite) Job Type: Contract Experience: 6+ years Job ... Design and optimize data models, queries, and integrations with PostgreSQL and Couchbase

GCP Engineer

Phoenix, AZ · On-site

$56.50 - $75.25/hr

GCP Data Engineer certification is a big plus. * Hands-on experience in GCP Big Query ... Hands-on experience with Python and Java programming languages. * Experience in API development ...

Java Software Engineer

Phoenix, AZ · On-site

$51.50 - $70.50/hr

Java Software Engineer Location: Phoenix, AZ 85054 HYBRID role: 2 days remote / 3 days onsite (must ... Optimize database performance and data models for both relational and non-relational systems.

Java Developer

Scottsdale, AZ · On-site

$51.25 - $66.50/hr

Experiences Java Developer with Node.js. • We are looking for a Node.js Developer responsible for managing the interchange of data between the server and the users. • Your primary focus will be ...

Showing results 41-60

Java Data Engineer information

See Arizona salary details

$24

$56

$79

How much do java data engineer jobs pay per hour?

As of Aug 15, 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 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 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:

Senior Data Engineer (20187)

LA MESA RV INC

Phoenix, AZ

$97K - $132K/yr

Full-time

Medical, Retirement

Re-posted 10 days ago


La Mesa RV rating

6.8

Company rating: 6.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

74th of 152 rated car dealerships


Job description

La Mesa RV A family owned and operated company, La Mesa RV was founded in 1972. Our original location was in La Mesa, California. We have recently relocated to Phoenix, AZ. Our business philosophy is Customers and Employees are the most important people in the world. Putting this belief into practice has enabled James K, our founder, to guide LMRV on a path of growth and prosperity. LMRV has grown over the years to become one of the largest multi-location RV dealerships in the world and is recognized as a leader in the industry.

Apply to LMRV!! We offer a lot of room to grow internally!

Position Summary

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize enterprise data platforms that enable advanced analytics and AI initiatives. This is a hands-on development role focused on implementing scalable, secure, and high-performing data solutions. The ideal candidate will have deep expertise in data modeling, modern data architecture, data governance, and experience setting up data lakes, lakehouses, and data warehouses. Proficiency in Microsoft Fabric and familiarity with Power BI are essential.

Key Responsibilities

  • Design and implement robust data models (conceptual, logical, physical) to support analytics and AI workloads.
  • Architect and maintain data pipelines leveraging modern architecture concepts for managing structured and unstructured data.
  • Establish and enforce data governance frameworks, including data quality, lineage, metadata management, and compliance.
  • Build and manage data lakes, lakehouses, and warehouses using Microsoft Fabric and Azure services.
  • Develop and optimize ETL/ELT processes for batch and real-time data ingestion.
  • Plan and execute data migration strategies from SQL Server databases to Microsoft Fabric, ensuring data integrity and minimal disruption.
  • Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality datasets.
  • Integrate data solutions with Power BI for reporting and visualization.
  • Ensure compliance with cybersecurity, data privacy, and regulatory requirements.
  • Define and enforce best practices for data performance, scalability, and maintainability.
  • Implement CI/CD pipelines and automated testing for data workflows.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field or relevant professional experience.
  • 5+ years of experience in data engineering roles.
  • Strong hands-on experience with:
  • Data modeling, schema evolution, and pipeline development.
  • Microsoft Fabric and Azure Data Services.
  • Data migration, ingestion, and database programming.
  • Knowledge of Medallion Architecture, event-driven architecture, data lakehouse concepts, and data governance principles.
  • Experience with AI/ML data pipelines.
  • Proficiency in Python, SQL, and Java for building scalable data solutions.
  • Strong understanding of data structures and algorithms for efficient data processing and optimization.
  • Knowledge of API development and integration for data ingestion and service-oriented architecture.
  • Hands-on experience with CI/CD practices and automated testing for data pipelines.
  • Understanding of streaming and event-driven architectures (e.g., Kafka, Kinesis) for real-time data processing.
  • Familiarity with Power BI integration and optimization.
  • Knowledge of SSRS (SQL Server Reporting Services) and SSIS (SQL Server Integration Services)preferred.
  • Proven experience working in Agile environments (Scrum/Kanban).
  • Excellent communication and documentation skills.

If you are looking for a role within a GROWING industry and a company that offers a family focused, FUN corporate culture, competitive pay, healthcare coverage, 401K and so much more then APPLY TODAY to learn more!!

Come join our FAMILY - where our core values are: Fun, Attitude, Make their day, Integrity, Listen and qualitY

Please look at our website: https://www.lamesarv.com/

EEO

La Mesa RV and affiliated companies are an Equal Opportunity Employer that strives to provide an inclusive work environment through the diverse talents of our team. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law.

  • Understanding and practical use of AI coding tools such as Claude Code, Copilot and Codex.

What La Mesa RV employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom