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Java Solr Jobs in Dallas, TX (NOW HIRING)

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Java Solr information

See Dallas, TX salary details

$15

$56

$76

How much do java solr jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for java solr in Dallas, TX is $56.09, according to ZipRecruiter salary data. Most workers in this role earn between $48.51 and $62.79 per hour, depending on experience, location, and employer.

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 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 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.
Infographic showing various Java Solr job openings in Dallas, TX as of June 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $116,662 per year, or $56.1 per hour.

Big Data Infrastructure Administrator

Right Talent Right Now

Arlington, TX • On-site

Full-time

Posted 5 days ago


Job description

Job Description


Big Data Infrastructure Administrator


Merrimack NH or Dallas TX 

 12 Months contract

 Great pay


 Phone and Skype Interview 

  Job Description :

This role provides an exciting opportunity to roll out a new strategic initiative within the firm-- Enterprise Infrastructure Big Data Service. The Big Data Infrastructure DevOps / Support Administrator serves as a development and support expert with responsibility for the design, development, automation, testing, support and administration of the Enterprise Infrastructure Big Data Service. This will involve building and supporting a general purpose data analytics platform utilized by Fidelity's data scientist community. The incumbent will be responsible for developing features, ongoing support and administration, and documentation for the service. The platform provides a data hub and a blueprint for integrating with existing upstream and downstream technology solutions.


This role is DevOps and support administration. The position requires a strong background in computer architecture, software development, data management systems, distributed computing, and a solid understanding of the open-source technology ecosystem. An ideal prospect will have technical expertise, customer engagement skills, excellent communication skills, and a passion for organizing and analyzing data.


Primary Responsibilities

The incumbent will have the opportunity of working directly across the firm with developers, operations staff, data scientists, architects and business constituents to develop and enhance the big data service. Key responsibilities include:

Development, support, and maintenance of the infrastructure platform and application lifecycle

Design, development and implementation of automation innovations

Development of automated testing scripts

Building and nurturing relationships with Fidelity's developer and system administration communities

Contribution to all phases of the application lifecycle - requirements, development, testing, implementation, and support.

Responding and providing guidance to customers of the Big Data platform

Defining and implementing integration points with existing technology systems

Interacting with and participating in open-source software communities

Researching and remaining current on big data technology and industry trends and innovations

Participating in a 24 x 7 hour on-call support rotation


Education and Experience

B.S. Computer Science or equivalent

Master's degree is a plus

5+ years application development or systems administration experience

5+ years of development experience in one or more of the following languages: Java, C++, Perl, Python

Experience deploying or managing open-source software

Strong experience with any Linux distribution


Experience with Kafka and Cloudera

2+ years Hadoop experience

Database administration experience a plus


Skills and Knowledge

Certification and experience working in Hadoop

Certification and working experience in a NoSQL database

Experience with Splunk/HUNK or Solr solutions and dashboards running on Big Data technologies such as Hadoop

Strong background in Linux/Unix Administration

Agile Scrum or Kanban experience

Global team experience

Experience with automation/configuration management using Chef, Puppet or an equivalent

Programming in CI/CD technologies is a plus

Knowledge designing scalable distributed systems

Awareness of both current and developing technologies

Strong desire to innovate and develop future technology

Additional Information

All your information will be kept confidential according to EEO guidelines.