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Elasticsearch Developer Jobs in Texas (NOW HIRING)

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Containerization * DevOps * Elastic Stack & Elasticsearch * GitHub * Hadoop Hive * Jenkins * JSON Web Token (JWT) * Kubernetes * OpenShift * Oracle * Python * Shell Script * SQLite Ref: #404-IT ...

dynaConnections Corp.

Senior Java Developer

Austin, TX · On-site

$56.75 - $72.25/hr

As a Software Developer at dynaConnections, you will have an opportunity to significantly impact ... Java, Spring Framework, Javascript, ReactJS, AngularJS, Elasticsearch, MongoDB, SQL, and Oracle PL ...

dynaConnections Corp.

Senior Java Developer

Austin, TX · On-site

$56.75 - $72.25/hr

As a Software Developer at dynaConnections, you will have an opportunity to significantly impact ... Java, Spring Framework, Javascript, ReactJS, AngularJS, Elasticsearch, MongoDB, SQL, and Oracle PL ...

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Containerization * DevOps * Elastic Stack & Elasticsearch * GitHub * Hadoop Hive * Jenkins * JSON Web Token (JWT) * Kubernetes * OpenShift * Oracle * Python * Shell Script * SQLite Ref: #404-IT ...

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 ...

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 ...

SpyCloud

Senior Data Engineer

Austin, TX · On-site

$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 · On-site

$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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All JobsElasticsearch Developer JobsElasticsearch Developer Jobs in Texas

Elasticsearch Developer information

See Texas salary details

$17

$42

$94

How much do elasticsearch developer jobs pay per hour?

As of Aug 9, 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 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 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 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 is the salary of Elasticsearch developer?

The salary of an Elasticsearch developer varies based on experience, location, and skill level, but typically ranges from $80,000 to $130,000 annually in many regions. Senior developers with advanced skills in Elasticsearch, distributed systems, and related tools can earn higher salaries, especially with certifications and extensive experience.

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 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 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $87,761 per year, or $42.2 per hour.

Data Engineer with DevOps

System One

Dallas, TX • On-site

$52.25 - $71.50/hr

Other

Re-posted 10 days ago

Job description

Job Title: Senior Data Engineer with DevOps

Duration : Full Time Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX

Work Mode : 5 Days Onsite Years Of Exp : 8+ Yrs Job Description: We are seeking a Data Engineer with 5 years of experience to design and maintain scalable data pipeline supporting analytics, reporting, and operational needs. The role involves collaborating with cross functional teams to ensure data alignment with business requirements and enterprise standards. Duties and Responsibilities:

  • Design and build scalable data pipelines aligned with business needs
  • Process large dataset (batch + sometimes near Realtime)
  • Ensure data quality, consistency, and governance standards across systems
  • Support data integration and transformation efforts for analytics and reporting platforms
  • Maintain data dictionaries, metadata, and documentation
  • Participate in data architecture reviews and model validation processes
  • Support analytics reporting and risk platforms.
Required Qualifications
  • 5+ years of experience in data engineering and big data processing
  • Strong expertise in Apache Spark (Spark Core, Spark SQL) and PySpark for large scale batch processing
  • Experience working with structured and semi structured data, including complex transformations and performance tuning
  • Proficiency in data ingestion and integration from sources like Oracle, SQL Server, Hive, HDFS, and S3; transform data into ‘curated data models'
  • Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems
  • Strong knowledge of SQL and data modeling concepts
  • Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling expectations, monitoring)
  • Proficiency in shell scripting for job automation, file validation, dependency handling, and logging. Trigger Spark Jobs, perform file checks and validation; Archive & purge data; mange job dependency, logging & error handling
  • Strong understanding of batch processing and batch job scheduling frameworks
  • Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data pipelines
  • Fundamentals in Linux and Networking
  • Docker, OCP containerization / Kubernetes
  • Knowledge of CI/CD pipeline tools: Tools commonly include Jenkins, GitHub Actions, Azure DevOps, GitLab Cl, Maven, and Gradle
  • Automate operational tasks using Python, Bash/Shell, and PowerShell
  • Implement monitoring and alerting, Application Insights. Enable centralized logging with tools such as ELK.
  • Experience ensuring data quality, reliability, and compliance in regulated environments
  • Good communication and documentation skillsGood communication and collaboration skills in cross-functional teams
  • Agile/Safe methodologies
Must Have Skills
  • Airflow
  • Containerization
  • DevOps
  • Elastic Stack & Elasticsearch
  • GitHub
  • Hadoop Hive
  • Jenkins
  • JSON Web Token (JWT)
  • Kubernetes
  • OpenShift
  • Oracle
  • Python
  • Shell Script
  • SQLite
Ref: #404-IT Pittsburgh