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Java Data Engineer Jobs in Weatherford, TX (NOW HIRING)

Java Software Developer - Senior

Fort Worth, TX ยท On-site

$51.50 - $65.50/hr

Participation in most aspects of programming and application development, including file design ... Develop and implement policy driven data protection best practices to ensure cloud solutions are ...

Design, develop, test, and document enterprise-grade microservices using Java and Spring Boot ... Lead architectural decisions and contribute to system design (UML, APIs, data flows) * Mentor ...

Sencha ExtJS Developer

Fort Worth, TX ยท On-site

$49 - $63.25/hr

Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage ... Highly prefer experience in Sencha ExtJS Must have 5+ years of experience in Java Script, CSS and ...

Siebel Developer

Fort Worth, TX ยท On-site

$35 - $38/day

Siebel Developer Location: Forth Worth, TX Please verify they live near Forth Worth, TX and are ... Databricks 2. Data Stage, 3. Tivoli, 4. Unix,PL/SQL Required Skills : Java,Javascript Basic ...

Deliver high-scale and high-quality data architecture, especially legacy-to-modern platform ... Fluency and Specialization with Java and/or Kotlin, along with at least one other modern typed ...

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Java Data Engineer information

See Weatherford, TX salary details

$22

$51

$73

How much do java data engineer jobs pay per hour?

As of May 30, 2026, the average hourly pay for java data engineer in Weatherford, TX is $51.83, according to ZipRecruiter salary data. Most workers in this role earn between $42.69 and $58.56 per hour, depending on experience, location, and employer.

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

To thrive as a Java Data Engineer, you need strong programming skills in Java, a solid understanding of data structures, SQL, and experience with big data frameworks, often supported by a degree in computer science or a related field. Familiarity with data processing tools like Apache Spark, Hadoop, Kafka, and experience with cloud data platforms (e.g., AWS, GCP) or relevant certifications are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills for collaborating with teams and interpreting data requirements. These capabilities are essential for building reliable, scalable data solutions that support business intelligence and analytics needs.

What are the most common challenges faced by Java Data Engineers when working with large-scale data pipelines?

Java Data Engineers often encounter challenges with optimizing the performance and scalability of data pipelines, especially as data volumes grow. They must ensure data integrity and consistency while managing distributed systems and integrating with various data sources. Debugging issues in real-time data processing and maintaining efficient, fault-tolerant code are also key hurdles. Collaborating closely with data scientists, database administrators, and DevOps teams is essential to overcome these challenges and deliver reliable data solutions.

What is a Java Data Engineer?

A Java Data Engineer is a technology professional who designs, develops, and maintains data processing systems using Java programming language. They work with large datasets, build data pipelines, and ensure the efficient movement, transformation, and storage of data. Java Data Engineers often collaborate with data scientists, analysts, and other engineers to support data-driven decision-making in organizations. Their expertise typically includes Java, SQL, big data technologies like Hadoop or Spark, and cloud platforms. They play a crucial role in enabling reliable and scalable data infrastructure for businesses.

What is the difference between Java Data Engineer vs Python Data Engineer?

AspectJava Data EngineerPython Data Engineer
Required CredentialsBachelor's in Computer Science, Java certificationsBachelor's in Computer Science, Python certifications
Work EnvironmentBig data platforms, Java-based toolsData analysis, scripting, Python-based tools
Employer & Industry UsageFinancial services, enterprise systemsTech startups, data science projects
Common Search & ComparisonYesYes

Java Data Engineers and Python Data Engineers often share similar roles in data processing and engineering. The main difference lies in the programming languages used: Java is common in large-scale enterprise environments, while Python is favored for data analysis and scripting. Both roles require strong programming skills, but their toolsets and typical applications differ based on industry needs.

What job categories do people searching Java Data Engineer jobs in Weatherford, TX look for? The top searched job categories for Java Data Engineer jobs in Weatherford, TX are:
What cities near Weatherford, TX are hiring for Java Data Engineer jobs? Cities near Weatherford, TX with the most Java Data Engineer job openings:
Java Software Developer - Senior

Java Software Developer - Senior

w3r Consulting

Fort Worth, TX โ€ข On-site

$51.50 - $65.50/hr

Contractor

Posted 23 days ago


Job description

Job Responsibilities:
  • Modify existing application code or interfaces or build new application components from detailed requirements.
  • Analysis of requirements, support of the design, development of the code, testing, debugging, deployment, and maintenance of those programs and interfaces. Documentation of the work is essential
  • Participation in most aspects of programming and application development, including file design, update, storage, and retrieval
  • Ability to maintain the developed solution on an on-going basis is essential
  • Formulate concepts, define system scope and technical objectives based on user needs (requires very good written and verbal communication skills, ability to easily grasp business concepts, and possesses skills to build a vision)
  • Enhance processes to resolve operational problems and add new functions taking into consideration schedule, resource constraints, process complexity, dependencies, assumptions and application structure
  • Candidate is required to follow the existing development methodology and coding standards, and ensure compliance with the internal and external regulatory requirements
  • May guide various groups on application systems activities
  • Work under general directions; typically reports to a team lead or supervisor/manager
Skills:
  • Minimum 8 years experience
  • Bachelor's degree in computer sciences or information system management required
  • Experience in financial services or captive auto finance companies is a strong plus
  • Ability to integrate with large teams, demonstrating strong verbal and written communication skills
  • Application development experience in large scale enterprise environments is essential
  • Problem-solving skills and critical thinking are essential to effectively conduct the required tasks.
  • Ability to work in a fast-paced environment, multi-tasking
  • Self-motivated and able to work autonomously when necessary
  • Certifications: Azure certifications (e.g., Azure Solutions Architect Expert, Azure Developer Associate) are a plus.
Additional Skills:
Intermediate to expert knowledge required in the following areas:
  • Cloud Architecture: Strong understanding of cloud architecture principles and best practices.
  • Strong expertise in Infrastructure as Code (IaC) using Terraform to automate the provisioning and management of cloud resources.
  • Programming Skills: Proficiency in scripting languages (e.g., PowerShell, Python)
  • DevOps: Experience with DevOps practices and tools (e.g., CI/CD pipelines, Azure DevOps, Git).
  • Integrate on-premises network with Azure Cloud using ExpressRoute etc.
  • Experience in monitoring and logging solutions using Azure Monitor, Grafana, App Dynamics, Dyna Trace etc.
  • Experience in setting up and manage Azure Kubernetes Service (AKS) Platform.
  • Strong experience in Windows and Linux OS administration and OS Patching.
  • Strong experience in Azure AD, Azure Backup, Azure Networking and Firewalls.
  • Understanding of PKI infrastructure (certificates, encryption keys, and authentication protocols).
  • System development lifecycle
  • System development processes and method
  • Testing methods, including unit and integration testing (JUnit, JMock)
  • Utilization of software configuration management tools
  • Code deployment and code versioning tools

Experience in the following:
  • UNIX (AIX)
  • UNIX Scripting
  • JAVA, J2EE, EJB, JavaBeans, JavaScript, servlets, JDBC, struts, Hibernate
  • WebSphere, WSAD, MQ Series
  • DB2, SQL, MS Access
  • FTP/SFTP

Responsibilities:
  • Setup, Manage and administer the Microsoft Azure cloud IaaS/PaaS environment, including provisioning, configuration, performance monitoring, policy governance and security.Design, architecture, develop, and implement highly available, multi-region solutions within Microsoft Azure Cloud.
  • Analyze existing operational standards, processes, and/or governance to identify and implement improvements.
  • Migrate existing On-Premises infrastructure services to cloud-based solutions.
  • Manage security and access controls of cloud-based solutions.
  • Develop and implement policy driven data protection best practices to ensure cloud solutions are protected from data loss.
  • Monitor and optimize the performance, scalability, and security of cloud environments.