Jakarta Persistence (JPA) Experts
matched in minutes from over 15,000 CVsHire experts who design entity models, tune ORM mappings and integrate persistence layers with Jakarta EE or Spring applications. Get precise, fast access to vetted, available freelancers with the right experience for your Java project.
Meet FRATCH Experts who have recently used Jakarta Persistence (JPA)
Timo H.
Last position:
Software Developer at Smiths Detection
- Extension of a Swing-based UI for recording Security Restricted Articles during baggage screening.
- Introduction of a new workflow for recording Deboarding Events.
- Extension of the reporting system for Security Restricted Articles and Deboarding Events.
- Implementation using JBoss Wildfly, PostgreSQL, spring-boot 3.x, Java 8/21, Swing, JSF, JAX-RS/Resteasy, Docker, Maven, Kiro.
Kathrin S.
Last position:
Requirements Engineer at Governikus GmbH & Co. KG
- Impact: Structured requirements analysis and quality assurance as a foundation for the further development of a software solution.
- Analysis, documentation, and coordination of requirements. Conducting stakeholder analyses, interviews, and workshops to gather and validate requirements. Conducting requirements reviews and working closely with business departments and development teams.
Techniques & Tools: Requirements Engineering, Stakeholder Management, Workshop Facilitation, System Context Modeling, Requirements Reviews, Quality Scenarios, Miro, Jira, Confluence
Robert D.
Last position:
Software Architect at FinTech / Wealth Management
- Analysis of existing microservice structures and integration into the event-driven architecture
- Design and implementation of prototypes
- Introduction of structured workflows and integration into a solid testing strategy
- Team: Small specialized team (3-5 people) from analysis through implementation readiness
- Documentation of architectural decisions and definition of interfaces
- Integration of the event-driven pipeline into the existing landscape
- Technologies: Kafka, Docker, Microservices, Event-Driven Architecture, Java, Liquibase
Harold T.
Last position:
CPU Watcher — Cloud-Native Monitoring Application at SEUYTEL
- Planned and developed a CPU monitoring application for monitoring system performance and resource utilization.
- Designed and implemented a Spring Boot backend providing a REST API for processing and exposing monitoring data.
- Developed the React frontend for presenting monitoring information in a clear and user-friendly interface.
- Integrated PostgreSQL for persistent storage and management of application data.
- Containerized the application and its services using Docker Compose.
- Automated infrastructure provisioning and deployment using Terraform on AWS.
- Structured the application as a modern, maintainable system using REST-based communication between frontend and backend.
- Designed and developed a secure, scalable CPU monitoring architecture (cpu-watcher) with a dedicated collector application that streams monitoring data to the backend, reducing direct exposure of system resources.
- Designed a secure cloud infrastructure with the database isolated within a private network and OIDC-based authentication.
- Implemented Infrastructure as Code with Terraform and integrated version-controlled CI/CD pipelines to automate testing, infrastructure changes, and application deployments.
- Designed and implemented the frontend delivery architecture using AWS CloudFront.
Stack: Spring Boot · React · PostgreSQL · REST API · Docker Compose · Terraform · AWS
Khalid E.
Last position:
Lead Architect & Developer at kem-consulting
Development of an agent-based governance platform for the automated assurance of EU AI Act compliance and ODA-compliant orchestration of AI services in complex enterprise environments.
Design and implementation of an agent-based "Mission Control" framework (Aletheia Conductor) for autonomous state monitoring and process control.
Development of "Compliance-as-Code" (CaC) solutions based on OPA/Rego for system-wide enforcement of regulatory guardrails.
Integration of TM Forum ODA standards (TMF630, TMF622, TMF642) to ensure interoperability and standardization.
Building a highly available event-driven architecture using Redpanda and CloudEvents v1.0 for near-real-time event processing.
Implementation of an audit-proof "Evidence Chain" through cryptographic linking of trace logs in preparation for automated audits.
Tech Stack: Java 21 (Quarkus Native), TypeScript (Next.js), Redpanda (Kafka API), CloudEvents v1.0, OPA (Open Policy Agent) & Rego, TimescaleDB, ZincSearch, Redis, TM Forum ODA, Git, GitHub, Clean Code Development, Like-C4.
Sercan T.
Last position:
Co-Founder & Lead Software Architect at Pflege-Pfad
- Focus: System architecture, cloud-native platforms, microservices, API design
- Product: Pflege-Pfad is a digital placement platform that directly connects relatives of people in need of care with verified care services and caregivers – without an agency and without ongoing fees.
- Business analysis & process design:
- Analysis of the German care market and identification of the key pain points of both target groups.
- Modeling of core business processes: registration, verification, care request, application, placement, and rating.
- Definition of the business model as a freemium/premium model with optional contact unlocking.
- Creation of user stories and requirements documentation for relatives, care services, and administrators.
- Design of trust and quality assurance mechanisms with document upload, admin review process, and rating system.
- Coordination with stakeholders and validation of product decisions with potential users.
- Technical implementation:
- Design and implementation of the entire platform architecture as the sole developer.
- Design and implementation of a REST API with Spring Boot and Kotlin, including JWT-based authentication.
- Development of the frontend as a single-page application with Angular 17.
- Implementation of the AWS infrastructure with EC2, RDS PostgreSQL, S3, CloudFront, and IAM.
- Document upload with AWS S3 using presigned URLs to verify care services.
- Email notifications via Resend API.
- AI-supported care service search via OpenAI API.
- Implementation of complete user flows such as registration, login, password reset, and the placement process.
- Development of an admin panel for user and care service management as well as analytics.
- CI/CD with GitHub Actions and containerized deployments with Docker.
- End-to-end tests with Playwright.
Technologies: Kotlin, Spring Boot 3, Spring Security, JWT, JPA/Hibernate, PostgreSQL, Angular 17, TypeScript, RxJS, AWS (EC2, ECS, S3, CloudFront CDN, RDS PostgreSQL, IAM), nginx, GitHub Actions, Playwright, Maven, Git, OpenAI API, Resend API, Docker, Scrum, i18n (DE/EN/TR), Kiro, feature flag architecture.
Toralf C.
Last position:
IT Consultant in PKI Software Development at BWI
- Implementation of a full-stack application with Angular as frontend framework and Java as backend language
- Use of the Swagger OpenAPI specification for REST communication between frontend and backend applications
- Control of a card printer via the Nexus Card SDK framework
- Design and implementation of card management software with web interface and JavaFX module for printer monitoring
- Use of Cucumber tests for test automation and creation of test artifacts for testing outside the development environment
- Use of Wireshark for network investigations to analyze the API of a third-party product and to check the REST API of the self-developed software
Fred H.
Last position:
Software Architect and Developer at Personal project
Recurring problem in my own AI-assisted projects: requirements analysis, use cases, and architecture decisions can be created quickly with AI support, but remain difficult to follow and scattered across Markdown files – knowledge is lost as soon as it is no longer in the context window. arknet turns requirements engineering and architecture knowledge into structured, verifiable data instead of plain text: requirements, use cases, and architecture decisions form a consistently linked knowledge graph, traceable from requirement to architecture decision – queryable by both people and AI agents. Technically based on RDF/OWL and a custom MCP server.
Result: Working MCP daemon, Docker image published automatically to GHCR, nine hexagonal modules, eleven ADRs (including an Open-Core licensing model). Requirements engineering and Ubiquitous Language hexagons are active. Public as a Community Edition under Apache-2.0 since 07/2026 (github.com/kogn-io/arknet), together with the Claude Code plugin and GHCR image; Open-Core model.
Label: Java, Maven, RDF, RDF4J, OWL, SPARQL, Model Context Protocol, Spring AI, Docker, GitHub, Git, Claude Code, Obsidian, DDD, Hexagonal Architecture, ArchUnit, JUnit, AssertJ, Interface Development, Software Architecture, Continuous Integration, Knowledge Management
Marcus B.
Last position:
Java and Quarkus Expert at Large German energy service provider
- Modernization of a large-scale Java enterprise application*
The project is modernizing a complex enterprise application that has grown over many years. The existing Spring-based legacy system runs on Java 8, OSGi, and Eclipse RCP and is being gradually migrated to a modern, maintainable architecture with Java 25 and Quarkus.
Marcus works on analysis, architecture, refactoring, and implementation. One focus is on untangling historically grown structures and dependencies and on building a clean, sustainable Java and Quarkus technology stack.
Tools & technologies: Java 8, Java 25, Quarkus, Hibernate ORM with Panache, EclipseLink, OSGi, Eclipse RCP, Maven, JUnit, Mockito, REST, JSON, Git, Eclipse IDE, IntelliJ IDEA Ultimate, Jira, Confluence
Niko S.
Last position:
Developing Architect, Technical Lead "gridlytics" at HH Energienetze
- Building a data integration platform for high, medium, and low voltage assets for contextual analysis of time series with master data from the SCADA control system (IEC 60870 104), INIS, and SAP.
- Responsibility for the architecture and implementation of the solution, as well as sparring partner for the Product Owner.
- Use of Kotlin, Spring Boot, Maven, TimescaleDB, PostgreSQL, liquibase, Elements IoT, Docker, Kubernetes, Grafana, Python, jupyter, and various API gateways.
Marijn S.
Last position:
Senior Software Engineer at Puls Security GmbH
Optimizing and acceleration of our Gitlab CI pipeline
Conceptual work for the PoC of the Zero Trust system
Extension of the policy-engine backend in Go
Extension of the policy-testing mechanism in Python
Architectural design of the PEP component of Zero Trust
Documentation of the product
Technologies: Zero Trust, Go, Python, Gitlab CI, Docker, JWT, Domain-Driven Design
Sabahattin K.
Last position:
Sole responsibility (design, development, infrastructure, operations) at Own project busik.ch
- Ride-sharing and bus platform, live and fully functional. Backend with Spring Boot 4.1 on Java 21, PostgreSQL with Flyway, and Testcontainers integration tests. Hosted in my own AWS account (ECS Fargate, ALB, ECR, IAM Least-Privilege) with CI/CD via GitHub Actions and OIDC federation without static credentials. Development fully AI-supported with Claude Code, including custom skills and project-specific memory. Spring Boot · Java 21 · PostgreSQL · Flyway · Docker · AWS ECS/ALB/ECR · CI/CD · GitHub Actions · Claude Code
Priyanka S.
Last position:
Business Consultant (Software Engineering) at Boehringer Ingelheim
- Developed cloud-native enterprise applications on SAP Business Technology Platform using Node.js, SAP UI5, and RESTful APIs, delivering solutions across training management, procurement, employee information, and logistics domains
- Served as the primary developer for the maintenance, enhancement, and production support of three enterprise applications, delivering new features, resolving production issues, and coordinating releases with business stakeholders
- Experienced in leveraging AI-assisted development tools such as Microsoft Copilot to accelerate feature development, generate code, prototype solutions, and support application migration and modernization
- Designed backend services, domain models, and SAP Fiori/UI5 interfaces, implementing business workflows, role-based access control, validations, scheduling, reporting, and data import/export capabilities
- Designed and integrated enterprise services with SAP SuccessFactors, SailPoint, ERP systems, and external Learning Management APIs, including automated synchronization for 11,000+ user data
- Designed and implemented AMQP-based event-driven services processing up to 500 RFID parcel scan events per day for a logistics application
- Managed deployments and application operations using CI/CD pipelines, SAP Solution Manager, SAP BTP Cockpit, Kibana, and cloud monitoring tools, performing root-cause analysis and resolving production incidents
- Managed application dependencies by resolving npm package version conflicts and remediating critical and high-severity security vulnerabilities, ensuring production compliance and application stability
- Collaborated with architects, business users, SAP governance teams, and distributed Agile teams throughout technical design, code reviews, sprint planning, documentation, and software delivery
Osman T.
Last position:
Senior Architect, DevOps Engineer at genPsoft GmbH
IT consulting, analysis, architecture design, new and further development, code review, test automation, continuous integration, continuous delivery in backend and frontend areas for Automotive Project Instavalo.
Frontend:
- Implementation of UI components according to specifications, especially style guides and responsive design eith React and Typescript
- Component testing
- Code documentation
- CI/CD with Gitlab Pipeline
Backend / IoT:
- Analysis and architectural design with AWS Greengrass IoT on Edge Devices
- Setting up Microservices containers with Docker Compose on Edge device with AWS Greengrass and AWS IoT IAM, Token Exchange Service, Ansible
- CI/CD with Gitlab Pipeline, Terraform, AWS ECR
- Logging with Fluentbit Lua Language for AWS Cloudwatch
- Python Lambda for AWS Greengrass Recipe deployment on Edge Devices
- Implementation of test-driven development with JUnit, Mockito, and code Coverage
- Jacoco
- Definition of REST interfaces with OpenAPI / Swagger
- Development and enhancement of software based on Java Quarkus, Typescript NestJs NodeJs and Python
- Authentication and authorization in Aws IAM
- Development of REST and gRPC interfaces for the frontend and backend
- Implementation of Maven dependencies with DevSecOps OWASP
- Spring AI, Jetbrains AI Assistant, Junie, Github Copilot, Claude Code, Agents, Skills, Command, Hooks, Subagents
Tamás E.
Last position:
Senior Software Developer / Tech Lead at NDA (defense / OSINT)
- Designing the audit logging framework
- Implementing APIs for developers to integrate in their codebase
- Implementing ingestion pipeline, database query layer and UI for browsing the audit events
- Improving stability and reliability of the backend system
Discover over 15,000 top freelancers
Statistics of experts using Jakarta Persistence (JPA)
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
2 years
Positions per freelancer
14
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Retail
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
96%
Master's degree or higher
55%
Doctorate
11%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
96%
Based on our profile pool as of 16 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts using Jakarta Persistence (JPA)
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 16 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Jakarta Persistence (JPA) experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (99%)
- Banking and Finance (62%)
- Retail (43%)
- Automotive (42%)
- Government and Administration (39%)
- Insurance (36%)
- Transportation (34%)
- Manufacturing (34%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Persistence for Java applications
Jakarta Persistence (JPA) is the standard Java API for mapping objects to relational database records. It lets applications work with entities, relationships and transactions while reducing repetitive SQL and data-access code. The specification was formerly known as Java Persistence API and is commonly still called JPA.
Entity and database mapping
JPA specialists model entities and define how Java objects relate to tables, keys and constraints. They work with annotations or XML mappings, inheritance strategies, embedded values and relationship ownership. Good mappings keep domain models clear while avoiding unnecessary queries and fragile coupling to a database schema.
- Design entity models and associations
- Configure persistence units and repositories
- Map legacy schemas and complex relationships
- Review cascade, fetch and transaction behavior
Ecosystem and tooling
JPA runs through providers such as Hibernate ORM and EclipseLink, which implement the specification and add provider-specific capabilities. Professionals also work with Jakarta EE servers, Spring Data JPA, JDBC drivers, migration tools and relational databases such as PostgreSQL, MySQL and Oracle. They understand where standard JPA ends and provider behavior begins.
Where companies use it
Companies bring in JPA expertise for business applications with structured, transactional data. Typical work includes customer portals, order management, finance systems, inventory services and internal platforms built with Java and Jakarta EE or Spring.
- Create persistence layers for new services
- Modernize Java EE applications to Jakarta EE
- Resolve slow queries and unexpected database calls
- Add auditing, locking and transaction boundaries
When specialist support matters
Freelance specialists are useful during migrations, performance investigations and major domain-model changes. They can review an existing persistence layer, plan a safe schema transition or deliver a focused feature without disturbing surrounding services. Their work often includes entity code, repository interfaces, migration scripts, tests and technical documentation.
Remote collaboration works well when database access, environments and acceptance criteria are clearly prepared. On-site work may help when the project involves sensitive systems, complex release coordination or close collaboration with a wider Java team.
What strong professionals bring
Strong JPA professionals understand both the object model and the relational database beneath it. They inspect generated SQL, choose fetch strategies deliberately and test transaction behavior instead of relying on defaults. They also know when a native query, JDBC or a different persistence approach is more suitable.
Look for experience with database design, SQL, transaction isolation, concurrency, REST services, automated testing and application monitoring. A high-quality specialist can explain trade-offs clearly, reproduce performance issues and leave behind mappings that future teams can maintain.
Frequently asked questions
Curious about Jakarta Persistence (JPA)? Here are the answers that come up again and again.
Jakarta Persistence (JPA) is used to persist Java objects in relational databases. It defines entities, relationships, queries and transaction behavior so applications can manage business data without writing every database operation by hand.
Jakarta Persistence (JPA) is a specification, while Hibernate ORM is an implementation that provides the runtime behavior. Hibernate supports JPA and also offers extensions, so a project should distinguish portable mappings from provider-specific features.
Jakarta Persistence (JPA) fits domain-heavy applications with recurring entity relationships, transactions and lifecycle rules. Direct JDBC can be a better choice for highly specialized SQL, reporting workloads or cases where precise query control matters more than object mapping.
A strong JPA specialist should understand Java, SQL, relational modeling and transaction management. Experience with Hibernate ORM, Spring Data JPA, Jakarta EE, REST services, database migrations and automated testing is also valuable.
The required depth depends on the data model and risk of the system. A straightforward CRUD service may need solid mapping and testing skills, while legacy schemas, high transaction volumes or difficult performance issues require a specialist who can analyze SQL and database behavior in detail.
Jakarta Persistence (JPA) work is often suitable for remote collaboration when the specialist has secure access to repositories, databases and test environments. Clear entity requirements, migration plans and performance evidence help remote teams make decisions without constant on-site coordination.
Ask how the professional handles lazy loading, fetch joins, cascading, optimistic locking and transaction boundaries. A capable Jakarta Persistence (JPA) specialist should explain the generated SQL, identify common N+1 query problems and show how mappings are covered by meaningful tests.
JPA can remain part of the persistence layer during a Java EE to Jakarta EE migration, but package namespaces and related dependencies must be reviewed carefully. The specialist should assess provider compatibility, application-server configuration, entity scanning, tests and database behavior before changing the production build.
The average hourly rate of freelancers who have used Jakarta Persistence (JPA) in their recent projects is 93 €, which corresponds to a daily rate of about 741 € based on an 8-hour working day.
Of the freelancers who have used Jakarta Persistence (JPA) in their recent projects, 96% hold at least a Bachelor's degree, 55% hold at least a Master's degree, and 11% hold a doctorate.
On average, freelancers who have used Jakarta Persistence (JPA) in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers who have used Jakarta Persistence (JPA) in their recent projects are German (97%), English (97%), and French (14%).
The most common industries among freelancers who have used Jakarta Persistence (JPA) in their recent projects are Information Technology (99%), Banking and Finance (62%), and Retail (43%).
The most common business areas among freelancers who have used Jakarta Persistence (JPA) in their recent projects are Information Technology (99%), Product Development (96%), and Quality Assurance (63%).
Main locations of FRATCH Experts, who have recently used Jakarta Persistence (JPA)
Our freelancers and interim experts are at home all over Germany — available on-site in Berlin, Hamburg, Munich and every major business hub, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Hamburg 
Munich 
Cologne 
Frankfurt 
Stuttgart 
Dusseldorf 
Vienna Across Switzerland our specialists are active in Zurich, Geneva, Basel and Bern — working on-site or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Zurich Geneva Basel Bern Countries:
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