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Java Elasticsearch Jobs in Boston, MA (NOW HIRING)

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

Proficiency in Java (our core analytics language) or Python (for AI/ML integrations). * Problem ... Familiarity with Elasticsearch internals or other search/retrieval-based systems. * Exposure to ...

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

Proficiency in Java (our core analytics language) or Python (for AI/ML integrations). * Problem ... Familiarity with Elasticsearch internals or other search/retrieval-based systems. * Exposure to ...

Advanced Software Engineer

Boston, MA · On-site

$103K - $155K/yr

Build and operate distributed search ingestion pipelines using Elasticsearch, including index ... Proficiency in programming languages such as C#, Java, or Python * Experience with cloud platforms ...

Proficiency in Java (our core analytics language) or Python (for AI/ML integrations). * Problem ... Familiarity with Elasticsearch internals or other search/retrieval-based systems. * Exposure to ...

Sr. Software Engineer - Analytics

Somerville, MA · On-site

$133K - $176K/yr

Required: * 6+ years of experience in professional Java development. * Proven expertise in designing scalable systems and robust APIs. * Deep Search Internals: A strong understanding of Elasticsearch ...

Sr. Software Engineer - Analytics

Somerville, MA · On-site

$133K - $176K/yr

... Java development. * Proven expertise in designing scalable systems and robust APIs. * Deep Search Internals: A strong understanding of Elasticsearch internals, including performance tuning and data ...

Sr. Software Engineer - Analytics

Somerville, MA · On-site

$133K - $176K/yr

Required: * 6+ years of experience in professional Java development. * Proven expertise in designing scalable systems and robust APIs. * Deep Search Internals: A strong understanding of Elasticsearch ...

Sr. Software Engineer - Analytics

Somerville, MA · On-site

$133K - $176K/yr

Required: * 6+ years of experience in professional Java development. * Proven expertise in designing scalable systems and robust APIs. * Deep Search Internals: A strong understanding of Elasticsearch ...

Hands-on experience with Java and/or C/C++ enterprise development; comfort reasoning about ... Elasticsearch, Redis, Vault) and middleware stacks (e.g., Tomcat, ActiveMQ, Apache Camel) is a ...

Experience with object-oriented programming using languages such as Java, Python, or JavaScript ... Familiarity with OpenSearch or Elasticsearch. * Exposure to graph databases such as Neo4j or ...

... Java Spring * Cloud/Virtualization : Kubernetes, Docker, AWS EC2, VM Ware * Databases : Neo4j, Postgres, MongoDB, ElasticSearch, Redis, MySQL * Development workflow : Webpack, grunt, gulp, npm, yarn ...

Senior Software Engineer I, (Discovery)

Boston, MA · On-site

$133K - $175K/yr

Backend service experience in multiple, managed languages such as Java, Scala, Go, C#, or similar * Experience working with ElasticSearch or other search engine technologies * Experience with ...

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Java Elasticsearch information

See Boston, MA salary details

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How much do java elasticsearch jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for java elasticsearch in Boston, MA is $61.60, according to ZipRecruiter salary data. Most workers in this role earn between $53.27 and $68.94 per hour, depending on experience, location, and employer.

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 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 Java Elasticsearch developers?

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 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 are popular job titles related to Java Elasticsearch jobs in Boston, MA? For Java Elasticsearch jobs in Boston, MA, the most frequently searched job titles are:
NLP/Linguistics Software Engineer

NLP/Linguistics Software Engineer

Hatch IT

Somerville, MA • On-site

$125K - $150K/yr

Full-time

Posted 21 days ago


Job description

hatch I.T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer. Please see details below:
About the Role
Babel Street is looking for a Software Engineer to join their Analytics Group. This is an execution-focused "builder" role for an engineer early in their career who wants to work at the intersection of NLP algorithms, search engines, and data science techniques. In this role, you will help create the next generation of architecture and components for their analytics platform, focusing specifically on their record matching functionality. You will bridge the gap between linguistic theory and practical AI applications, helping us implement practical, innovative text analytics and AI-driven features. You will work closely with senior engineers to learn how to deliver software that is safe, reliable, and production-ready.
About the Company
Babel Street is the trusted technology partner for the world's most advanced identity intelligence and risk operations. They deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empowers government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage. The actionable insights we deliver safeguard lives and protect critical assets around the world. Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K.
What you will do:
  • Implement and Maintain: Write high-quality, maintainable code to support the analytics platform and its record matching components.
  • Bridge Theory and Practice: Take theoretical ideas from linguistics and data science and implement them as practical software features.
  • Support Search Internals: Help optimize and maintain search engine components, including Elasticsearch data modeling and performance tuning.
  • Collaborate and Learn: Participate in agile sprint planning and work daily with senior partners to translate project requirements into technical solutions.
  • Build Scalable Systems: Assist in designing and shipping robust APIs and scalable architectures that integrate into our AI-native platform.

What you will bring:
Required:
  • 2-4 years of professional software engineering experience (including high-impact internships or projects).
  • Proficiency in Java (our core analytics language) or Python (for AI/ML integrations).
  • Problem Solver: Ability to work across teams and make steady progress in ambiguous problem spaces.
  • Educational Foundation: Bachelor's degree in Computer Science, Linguistics, or a related technical field.

Preferred (Nice to Have):
  • Foundation in Data Science: Experience with data quality evaluation, data annotation, or guideline design, preferably for linguistics.
  • Familiarity with Elasticsearch internals or other search/retrieval-based systems.
  • Exposure to computational linguistics or natural language processing (NLP).
  • Interest in Kubernetes and cloud-native architectures.

What success looks like:
  • Month 1-2: Ramp up on the analytics stack and record matching architecture; ship your first initial changes to production.
  • Month 3-4: Take ownership of a specific component or pipeline improvement with guidance, including full testing and documentation.
  • Month 5-6: Deliver a measurable improvement to record matching quality or pipeline reliability and contribute to team design discussions.

Why this role matters:
The record matching functionality is where Babel Street's signals become usable intelligence. Do you care about provenance, explainability, and trust? When a match decision affects whether someone is onboarded or investigated, "the model said so" is not good enough. You will help build systems where every match is defensible, auditable, and tunable - a rare luxury in modern ML-heavy stacks. Do you speak multiple languages? Since our platform processes data from around the globe, your linguistic insights can directly inform how we build and polish the NLP and computational linguistics components that make our record matching world-class.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.