Java Backend Developer
Occupations:
Software DevelopersComputer Systems Engineers/ArchitectsData Warehousing SpecialistsComputer ProgrammersWeb DevelopersIndustries:
Computer Systems Design and Related ServicesComputing Infrastructure Providers, Data Processing, Web Hosting, and Related ServicesWeb Search Portals, Libraries, Archives, and Other Information ServicesSoftware PublishersEmployment ServicesPosition: Java Backend EngineerLocation: Sunnyvale, CA (Onsite)Duration: Full- Time Job Description:We are seeking a highly skilled Java Backend Engineer with experience in data platforms, ETL pipelines, and distributed data systems. The role involves building backend services, designing scalable data workflows, and collaborating with engineering teams to enable high-performance systems.Key ResponsibilitiesDesign and build scalable backend services using Java, Spring Boot, JAX-RS, and Microservices frameworks.Develop and optimize data ingestion and ETL components across diverse data sources.Implement RESTful APIs, microservices, and event-driven back-end components.Collaborate with Data Engineering teams on data modeling, integration, warehousing, and pipeline orchestration.Work with both RDBMS and NoSQL databases, including schema design, indexing, and query optimization.Build batch and near real-time processing pipelines that handle high-volume datasets.Integrate backend components with CI/CD pipelines, containerization, and cloud deployment workflows.Perform performance tuning, debugging, monitoring, and logging for backend and data workflows.Collaborate with QA, Data, and Product teams to ensure reliable and high-quality delivery.Required Skills & ExperienceCore Backend ExpertiseStrong knowledge of Core Java, Java-J2EE, Spring Boot, Hibernate, and Microservices architecture.Experience building RESTful services using JAX-RS.Ability to design and maintain scalable, high-performance backend services.Data Engineering / Platform SkillsHands-on experience with RDBMS and NoSQL databases.Understanding of ETL/ELT, data warehousing concepts (facts/dimensions, SCDs), and data integration.Exposure to data ingestion frameworks and pipeline orchestration tools.Cloud & DevOpsFamiliarity with CI/CD, Git, Jenkins, containerization (Docker/Kubernetes), and automated deployments.Experience with cloud environments (Azure, AWS, or GCP) is a plus