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Entry Level Associate Software Engineer Jobs in Goodyear, AZ

SynergisticIT

Junior DevOps Engineer

Goodyear, AZ · On-site

$51.25 - $70/hr

In this economy no client wants or has the resources to take an entry level person and spend ... Knowledge of Core Java, javascript, C++ or software programming * Spring boot, Microservices ...

SynergisticIT

Junior DevOps Engineer

Goodyear, AZ · On-site

$51.25 - $70/hr

In this economy no client wants or has the resources to take an entry level person and spend ... Knowledge of Core Java, javascript, C++ or software programming * Spring boot, Microservices ...

Pwc

Guidewire Developer, Senior Associate

Phoenix, AZ · On-site

$77K - $202K/yr

Guidewire is a software suite that provides insurance companies with tools for policy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Associate Software Engineer information

See Goodyear, AZ salary details

$21.5K

$44K

$63.5K

How much do entry level associate software engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for entry level associate software engineer in Goodyear, AZ is $44,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,200.00 and $48,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level associate software engineer?

To thrive as an Entry Level Associate Software Engineer, you need a solid grasp of programming languages (such as Java, Python, or C++), computer science fundamentals, and typically a bachelor’s degree in a related field. Familiarity with version control systems like Git, basic debugging tools, and IDEs, as well as any relevant internships or coding certifications, is highly valuable. Strong problem-solving abilities, collaboration, adaptability, and clear communication skills are essential to stand out. These qualifications enable you to effectively contribute code, learn in a team environment, and grow quickly in a fast-paced industry.

What does a typical day look like for an entry level associate software engineer?

A typical day for an Entry Level Associate Software Engineer often starts with a team stand-up meeting to discuss progress and upcoming tasks. You'll spend much of your time writing and testing code, fixing bugs, and collaborating with more senior engineers or cross-functional teams on projects. Expect to participate in code reviews, attend learning sessions or trainings, and sometimes work on documentation or tickets assigned from agile sprints. The role usually offers a supportive environment where asking questions and learning from teammates is encouraged. This hands-on, interactive mix of responsibilities helps you quickly build both technical and soft skills essential for career advancement.

What is an entry level associate software engineer?

An Entry Level Associate Software Engineer is a junior role in software development where individuals assist in designing, coding, testing, and maintaining software applications. They typically work under the guidance of senior engineers to develop solutions based on project requirements. Responsibilities may include debugging code, writing documentation, and participating in team meetings. This role is ideal for recent graduates or those with limited professional experience looking to grow their technical skills. Strong problem-solving abilities and knowledge of programming languages like Java, Python, or C++ are commonly required.

What are popular job titles related to Entry Level Associate Software Engineer jobs in Goodyear, AZ? For Entry Level Associate Software Engineer jobs in Goodyear, AZ, the most frequently searched job titles are:
Entry Level Associate Software Engineer jobs near you
Infographic showing various Entry Level Associate Software Engineer job openings in Goodyear, AZ as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $44,012 per year, or $21.2 per hour.

Associate Software Engineer - Java (AI First)

Precisely US Jobs

Phoenix, AZ • Remote

$51.50 - $70.50/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Overview:

We are seeking an enthusiastic and motivated Associate Software Engineer to join our Master Data Management (MDM) product line within Precisely's Data Integrity Suite. In this role, you will help build the backend systems that support Precisely's next-generation MDM platform. You will work on enterprise-grade applications using Java, Python, and Angular to develop APIs, services, and data layers that manage trusted, high-quality enterprise data across integrations, workflows, and analytics. As part of an AI-first engineering organization, you will use AI tools as a core part of designing, building, testing, and operating software. You will be expected to apply AI to accelerate development, improve code quality, and strengthen problem-solving. You will work closely with engineers, architects, and product teams to deliver scalable, reliable, production-ready backend capabilities that address real customer needs

What you will do:

  • Design, develop, and maintain backend services using Java, Spring Boot, and REST APIs
  • Contribute to data models, API contracts, and service integrations for MDM workflows
  • Build systems supporting data ingestion, transformation, governance, and integration pipelines (aligned to MDM/DI ecosystem)
  • Use AI-powered tools to accelerate coding, debugging, testing, and design workflows
  • Implement clean architecture patterns (controller, service, repository) with strong separation of concerns
  • Implement structured logging and observability patterns (SLF4J, MDC context, correlation IDs) to enable production debugging and monitoring
  • Write high-quality unit and integration tests with proper mocking strategies to ensure code quality and maintainability
  • Debug and optimize performance, scalability, and reliability of backend systems
  • Apply observability best practices (logging, tracing, correlation IDs) to support production monitoring
  • Participate in Agile ceremonies, code reviews, and CI/CD practices
  • Collaborate cross-functionally with frontend, QA, product, and platform teams
  • Continuously learn and evaluate new technologies, especially in AI/agentic workflows and backend platforms

What we are looking for:

Required:

  • Bachelor's degree in computer science or related field
  • Years of experience: 1-2 years of experience in software development
  • Specific technical or software skills required Java
  • Strong understanding of Java and object-oriented programming
  • Understanding of API design and application architecture
  • Basic knowledge of relational or NoSQL databases (SQL Server, Oracle, MongoDB, etc.)
  • Test-driven development mindset with understanding of unit test patterns, mocking strategies, and test quality gates
  • Understanding of concurrent programming fundamentals, including thread-safety contracts, immutability, and shared state management
  • Familiarity with async/reactive patterns (CompletableFuture, async services, event-driven workflows)
  • Strong problem-solving and communication skills

AI Skills/Knowledge: 

  • Hands-on experience using AI tools for coding, debugging, and productivity (Copilot, Claude, ChatGPT, etc.)
  • Ability to evaluate and validate AI-generated code for correctness and performance
  • Interest in applying AI to data platforms, APIs, and backend workflows
  • Eagerness to adopt AI-assisted development practices as part of daily work

Preferred Skills (a plus but not required):

  • Experience with Spring Boot, Hibernate, or microservices architecture
  • Exposure to cloud platforms (AWS, Azure) and distributed systems
  • Database knowledge (SQL/NoSQL)
  • Understanding of data platforms, MDM concepts, or data integration pipelines
  • Basic frontend awareness
  • Structured logging and observability (SLF4J, Logback, MDC context, correlation IDs, Datadog integration)
  • Event-driven architecture patterns, messaging standards (CloudEvents, async workflows, dead-letter routing)
  • Data mapping patterns and DTO design
  • ORM and query optimization (Hibernate, fetch strategies, lazy loading, pagination, N+1 query avoidance)
  • Defensive programming practices (null safety, input validation, guard clauses, failure atomicity)
  • Basic knowledge of Python or AI/ML concepts
  • Familiarity with CI/CD pipelines and DevOps practices  

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