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

Java + AWS

Houston, TX · On-site

$48.75 - $63/hr

... Data Technologies like Python, Java, Scala, Cassandra, Hadoop, Spark, Solr NoSQL Data base e.g ... DevOps team for infrastructure set-up and deployments Skills: Java,AWS

java VM ware developer

Texas City, TX · On-site

$80K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Title-Java developer Must Hava- Strong Python scripting skills, Java, VMware, Cassandra and ... Experience and knowledge of data center automation tools. Additional Information Highlights and ...

Full Stack Developer, AWS and Java

Houston, TX · On-site

$50.25 - $64.75/hr

  • Medical

  • Retirement

  • PTO

Responsibilities: - As Java/AWS Full Stack Engineer, you will develop modern web-based applications ... and data architecture. Develop/teach team members of these skills. - Work with product owners to ...

Java Developer

Houston, TX · On-site

$48.75 - $63/hr

We are seeking experienced Java Developers to join our team of experienced IT professionals for our ... Additional skills are a huge plus - such as Hadoop/Big Data, AWS, Python, Kafka, Cassandra, etc.

Java Developer

Houston, TX · On-site

$48.75 - $63/hr

We are seeking experienced Java Developers to join our team of experienced IT professionals for our ... Additional skills are a huge plus - such as Hadoop/Big Data, AWS, Python, Kafka, Cassandra, etc.

senior java developer

Texas City, TX · On-site

$49 - $62.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

Showing results 21-40

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 Aug 16, 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 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 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 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 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 job categories do people searching Java Data Engineer jobs in Texas City, TX look for?

The top searched job categories for Java Data Engineer jobs in Texas City, TX 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.

Senior Lead Software Engineer-Big Data Python /Java , Databricks

JPMorgan Chase & Co.

Houston, TX • On-site

Other

Medical, Retirement

Posted 8 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description


Job Description
As a Senior Lead Software Engineer at JPMorganChase within the Corporate Technology Sector, you provide expertise and engineering excellence as an integral part of an agile data engineering team. To enhance, build, and deliver a trusted market leading Global Know Your Customer (KYC) and Risk Assessment Data Platform in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm's portfolios.
This role is suited to a senior engineer who has hands-on skills to lead across multiple teams-defining architecture, engineering practices and standards, and delivering high-impact software that scales.
Job responsibilities
  • Develops secure, high-quality production code for data-intensive applications and platforms, and reviews and mentors other engineers
  • Creates durable, reusable software frameworks and patterns that are leveraged across teams and functions
  • Designs and governs agentic Artificial Intelligence, systems, including multi-agent workflows, tool-use integrations, and human-in-the-loop controls appropriate for regulated financial services environments
  • Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
  • Establishes engineering standards for Large Language Model-based applications - RAG pipelines, embedding workflows, vector store integrations, and model serving - ensuring safety, observability, and reproducibility at scale
  • Drives adoption of advanced technical methods and practices aligned with the latest industry standards and product development methodologies
  • Advises cross-functional teams on technological matters within your domain of expertise
  • 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 at scale.

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability at enterprise scale
  • Hands-on experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures with tool use, memory, and multi-step reasoning in regulated environments
  • Expert in one or more programming languages, particularly Python and/or Java
  • Advanced knowledge of software application development and technical processes, with considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering)
  • Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
  • Experience in large-scale data processing, microservices, API design, Kafka, Redis, Memcached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)
  • Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance
  • Practical cloud-native experience (AWS, Azure, or Google Cloud Platform)
  • Ability to present and effectively communicate with senior leaders and executives

Preferred qualifications, capabilities, and skills
  • Experience with modern data platforms such as Databricks or Snowflake
  • Deep hands-on experience with Spark/PySpark and other big data processing technologies
  • Expertise in open-source table formats and catalog services such as Apache Iceberg
  • Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI)
  • Familiarity with AI evaluation and observability practices: evals frameworks, red-teaming, prompt drift detection, and cost/latency monitoring for LLM workloads.

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

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