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Java Elasticsearch Jobs in Santa Clara, CA (NOW HIRING)

SRE - Site Reliability Engineer

Sunnyvale, CA · On-site

$66.50 - $88.50/hr

... Java, Python). • Understanding of Kafka, Spark, Storm, Cassandra, ElasticSearch, PostgreSQL, Redis (Elasticache), Zookeeper, Nginx, AWS S3/GCP Client. • Understanding of infrastructure as code ...

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Java Elasticsearch information

See Santa Clara, CA salary details

$18

$66

$90

How much do java elasticsearch jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for java elasticsearch in Santa Clara, CA is $66.59, according to ZipRecruiter salary data. Most workers in this role earn between $57.60 and $74.52 per hour, depending on experience, location, and employer.

What is a Java Elasticsearch developer?

Java Elasticsearch developers are software engineers who specialize in integrating and utilizing Elasticsearch, a powerful search and analytics engine, within Java-based applications. They design, implement, and optimize search functionalities, ensuring efficient data indexing, querying, and retrieval. Their responsibilities often include configuring Elasticsearch clusters, developing RESTful APIs, and troubleshooting performance issues to provide scalable search solutions.

What are some common challenges Java developers face when integrating Elasticsearch into applications?

Java developers often encounter challenges such as handling complex query structures, optimizing search performance, and ensuring data consistency between the application and Elasticsearch clusters. Additionally, understanding Elasticsearch's distributed architecture and tuning it for scalability can require a learning curve. Collaborating closely with DevOps and data engineering teams is essential to monitor cluster health and manage index mappings effectively.

What are the key skills and qualifications needed to thrive as a Java Elasticsearch developer, and why are they important?

To thrive as a Java Elasticsearch Developer, you need strong Java programming skills, experience with Elasticsearch, and a background in software engineering or computer science. Familiarity with tools like Kibana, Logstash, RESTful APIs, and relevant certifications such as Elasticsearch Engineer can enhance your technical proficiency. Problem-solving skills, attention to detail, and effective communication are crucial soft skills for managing complex data requirements and collaborating with teams. These skills ensure the development of efficient, scalable search solutions that meet business and user needs.

What is the difference between Java Elasticsearch vs Java Developer?

AspectJava ElasticsearchJava Developer
Primary FocusImplementing search and analytics solutions using Elasticsearch with JavaDeveloping Java applications across various domains
Required SkillsJava, Elasticsearch, REST APIs, data modelingJava, object-oriented programming, frameworks like Spring
Work EnvironmentData-driven projects, search engine optimization, big dataSoftware development, application design, system integration
CertificationsElasticsearch certifications, Java certificationsJava certifications (Oracle Certified Java Programmer)

Java Elasticsearch specialists focus on integrating Elasticsearch with Java to build search and analytics solutions, while Java Developers have a broader role in developing various Java applications. Both roles require Java skills, but Elasticsearch roles emphasize search engine knowledge and data handling, making them more specialized within the Java ecosystem.

What job categories do people searching Java Elasticsearch jobs in Santa Clara, CA look for?

The top searched job categories for Java Elasticsearch jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Java Elasticsearch jobs?

Cities near Santa Clara, CA with the most Java Elasticsearch job openings:

Infographic showing various Java Elasticsearch job openings in Santa Clara, CA as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $138,503 per year, or $66.6 per hour.

IT - Senior Engineering Manager | Enterprise Security J2EE APIs | Java EE Security Standards: JCA, J

Spruce Infotech

San Jose, CA • On-site

$61.75 - $79.50/hr

Full-time

Re-posted 27 days ago


Job description

Job Title: Senior Engineering Manager | Enterprise Security J2EE APIs | Java EE Security Standards: JCA, JCE, JAAS, JSSE, JGSS
Work Location: San Jose, CA 95134
Vendor Rate: XXX/hr
Contract duration: 6months
Target Start Date: 15 Jun 2026
Job Details:
Must Have Skills
12+ years of extensive and handson experience with JavaJ2EE technology stack Development Experience in Microservices using Java 8111721, Spring Boot, ReactJS, Typescript, Node.js, Kafka Extensive hands on Elasticsearch log analytics, Kibana monitoring tools Extensive hands on relational databases using Oracle, MySQL, PostgreSQL, Azure SQL(PaaS) Extensive hands on NoSQL databases using MongoDB, Cassandra.
Nice to have skills
12+ years of extensive and handson experience with JavaJ2EE technology stack Development Experience in Microservices using Java 8111721, Spring Boot, ReactJS, Typescript, Node.js, Kafka Extensive hands on Elasticsearch log analytics, Kibana monitoring tools Extensive hands on relational databases using Oracle, MySQL, PostgreSQL, Azure SQL(PaaS) Extensive hands on NoSQL databases using MongoDB, Cassandra.
Detailed Job Description
12 years of extensive and handson experience with JavaJ2EE technology stack Development Experience in Microservices using Java 8111721, Spring Boot, ReactJS, Typescript, Node.js, KafkaExtensive hands on Elasticsearch log analytics, Kibana monitoring toolsExtensive hands on relational databases using Oracle, MySQL, PostgreSQL, Azure SQLPaaSExtensive hands on NoSQL databases using MongoDB, Cassandra.
Minimum years of experience
>10 years
Top 3 responsibilities you would expect the Subcon to shoulder and execute
12 years of extensive and handson experience with JavaJ2EE technology stack Development Experience in Microservices using Java 8111721, Spring Boot, ReactJS, Typescript, Node.js, Kafka Extensive hands on Elasticsearch log analytics, Kibana monitoring tools Extensive hands on relational databases using Oracle, MySQL, PostgreSQL, Azure SQLPaaS Extensive hands on NoSQL databases using MongoDB, Cassandra.