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Elasticsearch Developer Jobs in Texas (NOW HIRING)

Real Soft, Inc.

DevOps Engineer (0389)

San Antonio, TX · On-site

$45.25 - $61.75/hr

The DevOps Engineer will be responsible for implementing infrastructure, automating deployment ... Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. * Experience with ...

Ziddos

Java Backend Developer

Dallas, TX · On-site

$50.25 - $65/hr

Java backend Developer Location: Plano, TX Application Development: Design, develop, and maintain ... Exposure to monitoring tools like Prometheus, Grafana, or Elasticsearch. Soft Skills: Strong ...

Ziddos

Java Backend Developer

Plano, TX · On-site

$48.50 - $63/hr

Java backend Developer Location: Plano, TX Application Development: Design, develop, and maintain ... Exposure to monitoring tools like Prometheus, Grafana, or Elasticsearch. Soft Skills: Strong ...

The Swift Group, LLC

DevOps Engineer

San Antonio, TX · On-site

$47.50 - $65.25/hr

They are looking for a DevOps Engineer to work hands-on with cloud infrastructure, containerized ... Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino ...

Wyetech, LLC

DevOps Engineer - 28337

San Antonio, TX · On-site

$47.50 - $65.25/hr

S. Citizenship required. • 5+ years of experience in DevOps Engineering or Software Development ... Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino ...

Indotronix UK

Azure Data / Search Engineer

Irving, TX · On-site

$120 - $180/hr

... SQL, Elasticsearch, Kafka, and Azure , responsible for building scalable search platforms, REST APIs, event-driven data pipelines, and cloud-native distributed systems supporting high-volume ...

ClifyX

Senior AI/ML Engineer GenAI & Agentic AI

Dallas, TX · On-site

$103K - $142K/yr

Senior AI/ML Engineer - GenAI & Agentic AI Work Location: Any Infosys Hub office (Hybrid) Contract ... Pandas, NumPy, PySpark, Hadoop, MySQL, Elasticsearch, Neo4j Cloud Platforms: AWS (EKS, S3, Redshift ...

SpyCloud

Senior Data Engineer

Austin, TX

$144K - $187K/yr

As a Senior Data Engineer at SpyCloud, you will lead the architectural transformation of our data ... Experience building and managing large Elasticsearch/Opensearch data stores * Hands on experience ...

Allata

Senior Software Engineer (Python)

Dallas, TX

$121K - $159K/yr

We are seeking a Senior Software Engineer to design, build, and support a cloud-native, data ... You will work with technologies including Azure, Elasticsearch, Kafka, Databricks, Python, and ...

Allata

Senior Software Engineer (Python)

Dallas, TX

$121K - $159K/yr

We are seeking a Senior Software Engineer to design, build, and support a cloud-native, data ... You will work with technologies including Azure, Elasticsearch, Kafka, Databricks, Python, and ...

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Elasticsearch Developer information

See Texas salary details

$17

$42

$94

How much do elasticsearch developer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for elasticsearch developer in Texas is $42.19, according to ZipRecruiter salary data. Most workers in this role earn between $21.97 and $51.06 per hour, depending on experience, location, and employer.

What does an Elasticsearch developer do?

An Elasticsearch Developer specializes in designing, developing, and maintaining search and analytics solutions using Elasticsearch, an open-source search and analytics engine. They are responsible for creating efficient data indexing, building search queries, optimizing performance, and integrating Elasticsearch with other applications. Additionally, they troubleshoot issues, ensure data security, and help organizations make the most of their data through scalable search capabilities.

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

To thrive as an Elasticsearch Developer, you need a strong background in software development, information retrieval, and experience with Elasticsearch and related technologies, typically supported by a degree in computer science or a related field. Proficiency with Elasticsearch APIs, Kibana, Logstash, and experience with scripting languages like Python or Java are commonly required, along with relevant certifications such as Elastic Certified Engineer. Analytical thinking, problem-solving ability, and effective communication help developers collaborate and address complex search and data challenges. These skills ensure efficient data indexing, retrieval, and analysis, driving scalable solutions in data-driven environments.

What are some common challenges Elasticsearch developers face when optimizing large-scale search queries, and how can they address them?

Elasticsearch Developers often encounter challenges such as slow query performance and resource bottlenecks when dealing with large datasets. To address these issues, developers should focus on designing efficient index mappings, utilizing filters instead of queries where possible, and leveraging features like pagination and aggregations carefully. Monitoring cluster health and resource usage is also key, as is regularly updating and tuning the underlying infrastructure. Collaborating closely with DevOps and data engineering teams ensures optimal configurations and quick resolution of performance problems.

What is the difference between Elasticsearch Developer vs Data Engineer?

AspectElasticsearch DeveloperData Engineer
Required CredentialsProficiency in Elasticsearch, JSON, REST APIsSQL, Python, ETL tools, cloud platforms
Work EnvironmentFocus on search, indexing, and data retrieval within applicationsBuild data pipelines, manage databases, and optimize data flow
Employer & Industry UsageTech companies, e-commerce, search enginesFinance, healthcare, tech firms, data-driven organizations

Elasticsearch Developers specialize in implementing and optimizing Elasticsearch for search and analytics, focusing on search engine functionalities. Data Engineers design and maintain data pipelines and infrastructure, often working with multiple tools and platforms. While both roles require data handling skills, Elasticsearch Developers focus on search solutions, whereas Data Engineers handle broader data architecture and processing tasks.

What are popular job titles related to Elasticsearch Developer jobs in Texas?

For Elasticsearch Developer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Elasticsearch Developer jobs in Texas look for?

The top searched job categories for Elasticsearch Developer jobs in Texas are:

Elasticsearch Developer jobs near you
Infographic showing various Elasticsearch Developer job openings in Texas as of August 2026, with employment types broken down into 84% Full Time, 3% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $87,761 per year, or $42.2 per hour.

DevOps Engineer (0389)

Real Soft, Inc.

San Antonio, TX • On-site

$45.25 - $61.75/hr

Full-time

Re-posted 17 days ago

Job description

Description
We are seeking a highly motivated and experienced DevOps Engineer to join our fast-paced development team. The ideal candidate will have strong working knowledge in Linux systems administration, and a background in Big Data solutions, configuration management, automation, scripting, and AWS. The DevOps Engineer will be responsible for implementing infrastructure, automating deployment processes, and ensuring the reliability and scalability of our services.
Work is 100% on-site.
If you have a passion for DevOps and are interested in working with a dynamic and innovative team, we encourage you to apply for this exciting opportunity.
We are proud to be an equal opportunity employer and do not discriminate based on race, ethnicity, gender identity, sexual orientation, age, disability, religion, or any other characteristic that makes each of us unique. We are dedicated to promoting a professional culture where everyone can thrive. We welcome anyone who is willing to contribute positively to the success of our clients and their missions.
Requirements
Essential Job Responsibilities
  • Support development and deployment of infrastructure in AWS
  • Automate deployment processes and ensure reliability and scalability of services
  • Manage and maintain cloud infrastructure on AWS
  • Collaborate with development teams to integrate their applications into the infrastructure
  • Monitor and troubleshoot production systems and resolve issues as necessary
  • Continuously improve processes and tools to ensure high availability and performance
  • Stay current with new technologies and industry trends, continuously exploring new ways to improve our infrastructure
  • Other Duties as assigned

Minimum Qualifications
  • Security Clearance - A current TS/SCI U.S. Government Security clearance is required; U.S. citizenship required.
  • 5+ years of experience in DevOps Engineering or Software Development (Java preferred) and Bachelors in related field; or 3 years relevant experience with Masters in related field; or High School Diploma or equivalent and 9 years relevant experience.
  • Strong knowledge of Linux, including system administration and troubleshooting
  • Proficient in configuration management tools such as Ansible or Puppet
  • Knowledge of AWS services (EC2, S3, Lambda) and their application to deployment and management of infrastructure
  • Experience with application and OS deployment, scaling, and management
  • Ability to develop in multiple programming languages such as bash, Python, or Go
  • Familiarity with Git and other development tools such as deployment pipelines
  • Excellent problem-solving skills and the ability to identify and troubleshoot complex issues
  • Excellent oral and written communication skills.
  • Understanding of AGILE software development methodologies and use of standard software development tool suites
  • Must have a DoD 8140 / 8570 compliance certification within 60 days of hire.
  • Must be able to work on customer site 100% of the time in San Antonio, TX

Preferred Requirements
  • Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc.
  • Experience with containers and Kubernetes are a plus

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