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Associate Java Developer Jobs in Memphis, TN (NOW HIRING)

Raymondjames

Lead Cloud Data Engineer

Memphis, TN · Hybrid

$99K - $131K/yr

Working experience in Python is preferred, Java and other languages are a plus * Nice to have ... At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver ...

All JobsAssociate Java Developer JobsAssociate Java Developer Jobs in Memphis, TN

Associate Java Developer information

See Memphis, TN salary details

$57.8K

$82.1K

$111.7K

How much do associate java developer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for associate java developer in Memphis, TN is $82,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $92,300.00 per year, depending on experience, location, and employer.

What is an Associate Java Developer job?

An Associate Java Developer is an entry-level software developer specializing in Java programming. They assist in designing, coding, testing, and maintaining Java applications under the supervision of senior developers. Their responsibilities include debugging issues, optimizing existing code, and collaborating with teams to develop scalable applications. Strong knowledge of Java, object-oriented programming, and frameworks like Spring or Hibernate is often required. This role serves as a foundation for advancing to higher-level development positions.

What are the key skills and qualifications needed to thrive in the Associate Java Developer position, and why are they important?

To thrive as an Associate Java Developer, you need a solid understanding of Java programming, object-oriented concepts, and a relevant degree or equivalent experience in computer science or software engineering. Familiarity with integrated development environments (IDEs) like Eclipse or IntelliJ, version control systems such as Git, and knowledge of frameworks like Spring are commonly expected, and certifications like Oracle Certified Associate can be advantageous. Strong problem-solving ability, effective communication, and a willingness to learn from feedback are important soft skills. These qualities enable you to write reliable code, collaborate well in team settings, and adapt to evolving project requirements.

What does a typical day look like for an Associate Java Developer?

A typical day for an Associate Java Developer involves writing, testing, and debugging Java code in collaboration with other developers, often as part of an agile team. You may attend daily stand-up meetings to discuss progress, review code with more senior engineers, and work on assigned user stories or tickets to implement new features or resolve bugs. Additionally, you’ll likely participate in peer code reviews and use tools like Jira or Git to track your work. Over time, you’ll have opportunities to contribute to larger projects, learn new technologies, and gradually take on more complex tasks as you gain experience.

What are the most commonly searched types of Java Developer jobs in Memphis, TN? The most popular types of Java Developer jobs in Memphis, TN are:
What are popular job titles related to Associate Java Developer jobs in Memphis, TN? For Associate Java Developer jobs in Memphis, TN, the most frequently searched job titles are:
What job categories do people searching Associate Java Developer jobs in Memphis, TN look for? The top searched job categories for Associate Java Developer jobs in Memphis, TN are:
Associate Java Developer jobs near you
Infographic showing various Associate Java Developer job openings in Memphis, TN as of July 2026, with employment types broken down into 100% Full Time. Highlights an 63% In-person, 25% Hybrid, and 12% Remote job distribution, with an average salary of $83,787 per year, or $40.3 per hour.
Senior Full Stack Java Developer with Databricks

Senior Full Stack Java Developer with Databricks

Zealogics

Memphis, TN • On-site

$46.75 - $60.50/hr

Other

Posted 5 days ago

Job description

Senior Full Stack Java Developer with Databricks

We are seeking a Senior Full Stack Java Developer with Databricks to design and develop a modern publication management system from the ground up. This role will contribute across the full technology stack, including user interfaces, APIs, business logic, and data engineering components, to deliver a scalable, intuitive, and maintainable platform supporting publication tracking, curation workflows, reporting, analytics, and integrations.

Key Responsibilities
  • Design and develop end-to-end features across frontend, backend, and data layers.
  • Build modern, responsive user interfaces for publication management and curation workflows.
  • Develop and maintain backend services, APIs, and business logic using Java and related technologies.
  • Design, develop, and optimize data processing pipelines using Databricks, Apache Spark, and Delta Lake.
  • Collaborate with architects to implement modern architectural patterns and design standards.
  • Translate business and user requirements into scalable technical solutions.
  • Implement data models and persistence for complex bibliographic and metadata-driven systems.
  • Develop and maintain ETL/ELT workflows for ingesting, transforming, and managing large volumes of publication and research data.
  • Integrate with internal and external systems, data sources, and third-party platforms.
  • Write clean, testable, and well-documented code.
  • Participate in code reviews and contribute to engineering best practices.
  • Troubleshoot, optimize, and improve application performance, data processing efficiency, and usability.
Required Skills & Experience

  • Proven experience as a Senior Full Stack Software Engineer on enterprise-scale applications.

  • Strong proficiency in:

    • Frontend: React (preferred), Angular, or Vue.js
    • Backend: Java (Spring Boot), REST APIs, Microservices
    • Data Engineering: Databricks, Apache Spark (PySpark/Spark SQL), Delta Lake

  • 3+ years of hands-on experience with Databricks in enterprise environments.

  • Experience designing, developing, and optimizing data pipelines and ETL/ELT processes using Databricks.

  • Strong experience working with Apache Spark, Delta Lake, Databricks Workflows, and Lakehouse Architecture.

  • Experience building and consuming RESTful APIs.

  • Solid understanding of modern software development practices, including:

    • Microservices-based architectures
    • API-first design
    • Agile development methodologies

  • Experience with relational and/or NoSQL databases and data modeling.

  • Experience integrating Databricks with cloud platforms such as Azure, AWS, or Google Cloud Platform.

  • Familiarity with cloud-native or hybrid deployment environments.

  • Strong understanding of data governance, data quality, performance tuning, and monitoring within Databricks environments.

  • Strong problem-solving skills and attention to detail.

  • Excellent communication and collaboration skills.

Preferred Qualifications
  • Experience with greenfield development and phased delivery models.
  • Familiarity with publication management systems and research information systems.
  • Knowledge of scholarly metadata standards such as DOI, ORCID, MeSH, PubMed, or similar.
  • Experience building dashboards, reports, analytics, or data visualization solutions.
  • Experience with Unity Catalog, Delta Live Tables (DLT), MLflow, and Databricks Lakehouse Platform.
  • Databricks Certification (Associate or Professional Data Engineer) is a plus.
  • Background in research, healthcare, academic, or life sciences environments.
Nice-to-Have
  • Exposure to AI/ML-assisted features, such as metadata enrichment, intelligent classification, or recommendation systems.
  • Experience with CI/CD pipelines, containerization, and DevOps tooling.
  • Understanding of security, accessibility, and data governance best practices.
What Success Looks Like
  • Delivery of intuitive, high-quality user interfaces, robust backend services, and scalable Databricks-based data solutions.
  • Well-architected, maintainable code and data pipelines supporting long-term scalability.
  • Strong collaboration with architects, analysts, data engineers, and stakeholders.
  • Contributions that measurably improve usability, efficiency, analytics capabilities, and system reliability.

Must-Have Technologies: Java, Spring Boot, React, Databricks, Apache Spark, SQL, REST APIs, Microservices, Cloud (Azure/AWS).

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