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Java Data Engineer Jobs in Texas City, TX (NOW HIRING)

senior java developer

Texas City, TX · On-site

$49 - $62.50/hr

Competence in using Java IDE tools of Eclipse, GGTS, Rational Application Developer (RAD ... Big data experience. * Teamwork & collaboration skills to work across organizations and lead cross ...

Senior Java Developer

Houston, TX · On-site

$54.75 - $69.75/hr

... data, regulatory and product driven requirements of our businesses developing, testing and ... Good software design and application architectural practices within the context of Java and Java ...

Senior Java Developer

Houston, TX

$54.75 - $69.75/hr

... data, regulatory and product driven requirements of our businesses § developing, testing and ... context of Java and Java Script development · Strong working knowledge of Java. · Working ...

Senior Java Developer

Houston, TX · On-site

$54.75 - $69.75/hr

... data, regulatory and product driven requirements of our businesses § developing, testing and ... Java Script development • Strong working knowledge of Java. • Working knowledge of cloud ...

This role partners closely with Data Engineering on data pipelines and warehouse structures, and ... Ideally the experience or ability to learn SQL or JAVA * Excellent time management and organization ...

... programming languages such as Python and Java to enhance AI model deployment - Overseeing the creation and maintenance of data pipelines and infrastructure - Applying deep learning techniques and ...

Java Developer

Houston, TX · On-site

$48.75 - $63/hr

... for data pipelines. * Strong sense of code with ability to review, rework and deliver top class ... Good understanding of SRE skillset and ability to design the services considering observability ...

Showing results 41-60

Java Data Engineer information

See Texas City, TX salary details

$22

$51

$73

How much do java data engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for java data engineer in Texas City, TX is $51.71, according to ZipRecruiter salary data. Most workers in this role earn between $42.60 and $58.41 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a Java data engineer?

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 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 are popular job titles related to Java Data Engineer jobs in Texas City, TX?

For Java Data Engineer jobs in Texas City, TX, the most frequently searched job titles are:

What cities near Texas City, TX are hiring for Java Data Engineer jobs?

Cities near Texas City, TX with the most Java Data Engineer job openings:

Infographic showing various Java Data Engineer job openings in Texas City, TX as of August 2026, with employment types broken down into 47% Full Time, and 53% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $107,552 per year, or $51.7 per hour.

Lead Software Engineer- Java, Equities Derivatives Front Office Flow Technology

Houston, TX • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees

Other

Posted 25 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz


Job description

Job Description:

As a Lead Software Engineer at JPMorganChase within the Equities Derivatives Front Office Flow Technology Team, youare an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Work with subject matter experts to develop solutions that meet business the business requirements.
  • Develop Java services integrated in the end to end processing of the derivative products.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Design and build AI agents and agentic pipelines to automate software development, testing, and operational workflows.
  • Support integration of AI capabilities with Java services and front-end trading applications.
  • Build a stable, efficient, scalable cloud based solution which will be deployed globally.
  • Design and code a significant amount of a robust, secure and efficient API to persist / retrieve data and implement the business logic
  • Build JavaScript and C# front-end desktop applications to interface with the Java services
  • Participation in code reviews and sharing of knowledge with other members of the team.
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Strong OO design skills with good knowledge of object modelling and design patterns
  • Experience with development, deployment and maintenance of commercial service oriented application(s)
  • Disciplined approach to code management, testing and deployment practices and high quality delivery
  • Understanding of how to effectively utilize unit testing
  • Great problem solving skills for problems with a mathematical/technological background
  • Ability to work in a fast paced team oriented environment
  • Ability to work effectively within a global team (spread across North America, EMEA, APAC etc.) while influencing and contributing towards the development of the global platform
  • Experience of full project lifecycle, breaking requirements down into technical deliverables and effort estimation
Preferred qualifications, capabilities, and skills
  • Knowledge of Java. Experience with AWS, Kubernetes, Docker or other Cloud technologies
  • Business knowledge of simple derivative products (vanilla options, variance swaps, strategies involving vanillas): how these are used, how to price them, how to evaluate risk exposure using Greeks
  • Exposure to NoSQL systems (Cassandra, MongoDB .etc.)
  • Working knowledge of continuous integration and deployment processes
  • Experience with project management. Experience with service oriented platforms, and a good understanding of current generation open source frameworks
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