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Flexible Java Spring Developer Jobs in Memphis, TN

Forhyre

Java Developer

Collierville, TN

$45 - $58.25/hr

Experience in the Spring Framework * Experience as a Sun Certified Java Developer * Experience in developing web applications using at least one popular web framework (JSF, Wicket, GWT, Spring MVC)

AutoZone

Systems Engineer-B2B

Memphis, TN

Health Savings and Flexible Spending Accounts with wellness rewards * Tuition reimbursement Minimum ... Developer or similar with a strong software development background in Java, Spring boot, RDBMS is a ...

Kivyo Inc

Java Tech Lead

Collierville, TN · Hybrid

Collierville TN Lead development and support of enterprise applications using Java and Spring Boot ... Collaborate with architects, business teams, and DevOps teams for solution delivery. Ensure high ...

AutoZone

Systems Engineer-B2B

Memphis, TN · On-site

... Developer or similar with a strong software development background in Java, Spring boot, RDBMS is a ... Health Savings and Flexible Spending Accounts with wellness rewards * Tuition reimbursement Minimum ...

MI Softech

Software Engineer

Collierville, TN · On-site

Experience with full stack development using HTML, CSS, JavaScript, Java Spring Boot. * Provide ... using DevOps tools in development workflow using tools such as Maven, Bash, Jenkins, etc.

MI Softech

Software Engineer

Collierville, TN · On-site

Experience with full stack development using HTML, CSS, JavaScript, Java Spring Boot. * Provide ... using DevOps tools in development workflow using tools such as Maven, Bash, Jenkins, etc.

Deloitte

CyberArk Senior Consultant

Memphis, TN · On-site

Experience with object-oriented programming using languages such as Java, Python, or JavaScript ... or Java (Spring Boot). * Experience building and consuming REST APIs and microservices.

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Flexible Java Spring Developer information

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$55

$75

How much do flexible java spring developer jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for flexible java spring developer in Memphis, TN is $55.08, according to ZipRecruiter salary data. Most workers in this role earn between $47.64 and $61.63 per hour, depending on experience, location, and employer.

What is the difference between Flexible Java Spring Developer vs Java Backend Developer?

AspectFlexible Java Spring DeveloperJava Backend Developer
Required SkillsJava, Spring Framework, REST APIs, SQL, AgileJava, Spring, REST, SQL, Microservices
Work EnvironmentStartups, tech companies, remote or hybrid rolesTech firms, enterprise environments, remote or onsite
CertificationsJava certifications, Spring certifications beneficialJava certifications, Spring certifications
Industry UsageCommon in flexible, dynamic projectsCommon in enterprise and large-scale applications

The Flexible Java Spring Developer and Java Backend Developer roles share core skills like Java and Spring. The main difference lies in flexibility; the Flexible Java Spring Developer often works in dynamic, adaptable environments with a focus on remote or hybrid work, while the Java Backend Developer may be more embedded in enterprise settings. Both roles require similar credentials and technical expertise, but the Flexible Java Spring Developer emphasizes adaptability and diverse project types.

What are the most commonly searched types of Java Spring Developer jobs in Memphis, TN? The most popular types of Java Spring Developer jobs in Memphis, TN are:
What are popular job titles related to Flexible Java Spring Developer jobs in Memphis, TN? For Flexible Java Spring Developer jobs in Memphis, TN, the most frequently searched job titles are:
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Flexible Java Spring Developer jobs near you
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 4 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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