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Java Solr Jobs in New York (NOW HIRING)

Deep understanding of Java, Java EE, Servlets, combined with a strong understanding of enterprise ... Good to have experience with Solr Search Good understanding of UX and web components. Experience in ...

Big Data Engineer

New York, NY

$61 - $80.75/hr

Primary Skills: 1. Very strong server-side Java experience, especially in an open source, data ... technologies like Solr, hadoop, NoSQL DB's, Storm, kafka etc. Role & Responsibilities ...

Cloud Engineer

Newark, NJ · On-site

$58.25 - $78/hr

Skills in nutshell Drupal, PHP, Angular, Express with Angular Universal, NodeJS Monitoring (PM2), SOLR, Java, AWS Cloud Engineering, AWS Cloud Services, Route 53, Load Balancers, EC2, Acquia Cloud ...

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Java Solr information

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

To excel as a Java Solr Developer, you need strong proficiency in Java programming, a solid understanding of Apache Solr, and experience with search engine integration. Familiarity with tools like Maven, Git, and RESTful APIs, as well as Solr certifications or advanced training, are often highly valued. Analytical thinking, problem-solving, and effective communication help developers collaborate with teams and address complex search requirements. These skills ensure robust, high-performance search solutions that meet user and business needs.

How does a Java Solr developer typically collaborate with data engineers and product teams in a project environment?

As a Java Solr developer, you'll frequently work alongside data engineers to integrate and optimize search functionalities within large-scale applications. You are often responsible for implementing custom search features, tuning Solr indexes, and ensuring robust data pipelines, which requires clear communication and regular alignment meetings. Additionally, you’ll collaborate closely with product teams to translate user requirements into effective search experiences, troubleshooting issues and iterating on solutions. This cross-functional collaboration ensures that the search component aligns with overall product goals and delivers value to end users.

What is a Java Solr developer?

A Java Solr developer is a software engineer who specializes in integrating and developing applications using Apache Solr, a powerful open-source search platform, with Java-based systems. Their primary responsibilities include designing, implementing, and optimizing search functionalities in web or enterprise applications. They work on indexing, querying, and analyzing large volumes of data to ensure fast and relevant search results. Java Solr developers often collaborate with other developers and data engineers to deliver scalable and efficient search solutions.

What is the difference between Java Solr vs Java Elasticsearch?

AspectJava SolrJava Elasticsearch
Required CredentialsJava programming, XML, HTTP APIsJava programming, REST APIs, JSON
Work EnvironmentServer-side, search engine setup, enterpriseServer-side, search and analytics, cloud-friendly
Industry UsageLarge enterprises, e-commerce, publishingTech companies, startups, cloud services
Common Search IntentCompare search platforms, integration optionsCompare search and analytics tools, scalability

Java Solr and Java Elasticsearch are both popular search platforms built with Java. Solr is known for its robust enterprise features and XML-based configuration, while Elasticsearch offers a RESTful API and JSON-based setup, making it more flexible for cloud environments. Both are used in large-scale search applications, but their integration and deployment differ based on project needs.

What cities in New York are hiring for Java Solr jobs? Cities in New York with the most Java Solr job openings:
Senior Software Engineer - DataHub Search

Senior Software Engineer - DataHub Search

Bloomberg LP

New York, NY • On-site

$134K - $176.70K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Senior Software Engineer - DataHub Search
Location
New York
Business Area
Engineering and CTO
Ref #
10048203
Description & Requirements
Bloomberg's data-driven products depend on fast, relevant, and secure access to petabytes of structured and unstructured data. The BBDS (Bloomberg Big Data Services) platform powers this scale with distributed systems built on Apache Kafka, MySql, Vitess, Apache Solr, and other cutting-edge technologies. We use clusters that index and serve millions of documents daily, making financial data easily discoverable across the firm.
Our Team
The DataHub Engineering team provides a distributed platform for hosting datasets, complete with managed data stores, search, discovery, lakehouse, and real-time stream processing capabilities. The platform offers a single place within Bloomberg to discover, access, publish, and subscribe to data.
You'll join the team that introduced the abstraction of a "dataset", invented a schema language to formally define all data at Bloomberg-complete with schema evolution, versioning, and true point-in-time semantics.
We're the team that first brought Kafka, Avro, Dataset Schema Registry, Mesos, Clustered MySQL, Vitess, and Spark into the ecosystem to power a new data-intensive platform that is the hub for financial datasets.
The DataHub's Search and Discovery Infrastructure, built on Apache Solr, powers the discoverability of those datasets, making Bloomberg's financial data easy to search, index, and explore. Our systems serve millions of queries daily across hundreds of datasets, driving everything from analytics to real-time data products.
We'll trust you to:
  • Build tools and automation in Java or Python for indexing, reindexing, and performance tuning
  • Design and enhance indexing and query pipelines for performance, scalability, and reliability
  • Debug complex issues involving query latency, indexing pipelines, and distributed systems behavior
  • Collaborate with engineers across BBDS to enhance data discoverability, security, and scalability
  • Contribute upstream to open-source search technologies and improve internal frameworks for observability and resilience
  • Drive initiatives around Vector Indices and Hybrid Search capabilities
  • Apply performance engineering techniques using tools like eBPF to profile and optimize low-latency systems

You'll need to have:
  • 4+ years of software development experience using Java
  • Deep systems knowledge of JVM internals, Java, Linux, Networking, and Distributed systems
  • Familiarity with low-latency systems and performance tuning using eBPF or similar tools
  • A degree in Computer Science, Engineering, Mathematics, or equivalent practical experience

We'd love to see:
  • Experience with Python and/or Go
  • A passion for scalable, resilient, secure, and observable distributed systems
  • Expertise in Lucene, Apache Solr or Elasticsearch (indexing, sharding, scaling, query tuning)

Salary Range = 160,000 - 240,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

Bloomberg logo

About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981