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

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 ...

Java Developer

Phoenix, AZ

$50.75 - $65.50/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. 5-6 years' experience in developing applications based on Java platform and ...

Java Developer

Scottsdale, AZ · On-site

$51 - $66/hr

Experience with React, JavaScript, Node.js, Python , or ETL/data processing. * Familiarity with MongoDB, CI/CD, Ansible, Docker , and cloud platforms. Job Summary We are seeking a Java Developer with ...

Showing results 41-60

Java Data Engineer information

See Phoenix, AZ salary details

$26

$59

$84

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.

Data Engineer-- Phoenix, AZ (Hybrid) 85255 on W2

Amicis Global

Scottsdale, AZ • On-site

$70 - $80/hr

Contractor

Re-posted 8 days ago


Job description

Title: Data Engineer
Location: Phoenix, AZ (Hybrid) 85255
Experience: 10+ Years
Duration: 12+ Months of contract
Key Responsibilities:
• Solid experience with Database design practices and data warehousing concepts.
• Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse.
• Hands-on experience delivering data reporting requirements on On-Prem SQL Servers using SSIS and/or other integration processes.
• Expertise with coding and implementing data pipelines in cloud-based data infrastructure in batch and streaming ETL using Azure Data Factory, Spark, Python, Scala on Databricks.
• Experience working with Azure data lake storage and Azure SQL Databases.
• Experience working with Databricks Delta Lake, Medallion Architecture, and Unity Catalog.
• Optimize data ingestion and transformation processes to ensure efficient and scalable data flows. Monitor and optimize database performance, including query tuning and index optimization.
• Develop and maintain data models, schemas, and data dictionaries for efficient data storage and retrieval.
• Perform data analysis, data profiling, and data cleansing to ensure data quality and accuracy,
data validation, quality checks, and troubleshooting to identify and resolve data-related issues.
• Develop Power BI dashboards, reports, and visualizations to effectively communicate data insights. Implement data transformations, data modeling, and data integration processes in Power BI.
• Create and maintain technical documentation related to database structures, schemas, and reporting solutions.
• Experience with MS Office tools like Excel, Word, and PowerPoint.
• Experience working with build and deploy tools, Azure DevOps, GitHub, and Jenkins.
• Experience working on an Agile Development team and delivering features incrementally using Jira and Confluence.
• Stay up to date with industry trends and best practices in data engineering, Power BI, and proactively recommend and implement improvements to our data infrastructure.
• Ability to multitask, be adaptable, and nimble within a team environment.
• Strong communication, interpersonal, analytical, and problem-solving skills.
Preferred:
• Experience with API/REST, JSON
• Experience in Banking and Financial Domains.
• Industry certification – Azure/GCP/AWS
• Familiarity with a variety of programming languages, like Java, JavaScript, and C/C++.
• Familiarity with containerization and orchestration technologies (Docker, Kubernetes) and experience with shell scripting in Bash, Unix, or Windows shell is preferable.
• Experience with Power Automate and Power Apps.
• Experience with Collibra Data Lineage and Data Quality Modules.
Education:
Bachelor's degree in computer science or information systems, along with work experience in a related field.