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

Crescens Inc

Java Developer with Angular JS

Houston, TX · On-site

$48.75 - $63/hr

Company Description Shipping Industry We are looking for a Java/J2EE developer with hands on UI ... Experience in developing Data Visualizations using d3.js Job Duties/Roles * Work Closely with ...

Hp

Principal Data Architect

Spring, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Programming: * Python, SQL (mandatory) * Scala/Java (good to have) * Experience with: * Streaming and real-time data systems * Data modeling and governance * MLOps / model deployment pipelines

R2 Technologies Corporation

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

Dellfor Technologies

java VM ware developer

Texas City, TX

$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 ...

Next Step Systems

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 ...

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All JobsJava Data Engineer JobsJava Data Engineer Jobs in Houston, TX

Java Data Engineer information

See Houston, TX salary details

$25

$57

$81

How much do java data engineer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for java data engineer in Houston, TX is $57.70, according to ZipRecruiter salary data. Most workers in this role earn between $47.50 and $65.19 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 Houston, TX?

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

What job categories do people searching Java Data Engineer jobs in Houston, TX look for?

The top searched job categories for Java Data Engineer jobs in Houston, TX are:

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

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

Java Data Engineer jobs near you
Infographic showing various Java Data Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 38% Full Time, and 62% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $120,022 per year, or $57.7 per hour.

Software Engineer III - Big Data Databricks, Python / Java

JPMorgan Chase & Co

Houston, TX • On-site

Full-time

Medical, Retirement

Posted 7 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 Software Engineer III at JPMorgan Chase 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 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.

Job responsibilities

  • Develops secure, high-quality production code for data-intensive applications and platforms
  • Creates durable, reusable software frameworks and patterns that are leveraged across teams and functions

  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.

  • 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.

  • 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
  • Expert in one or more programming languages, particularly Python and/or Java
  • Deep knowledge of software application development and technical processes, with considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering)

  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.

  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

  • Experience in large-scale data processing, microservices, API design, Kafka, Redis, Memcached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)
  • Working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance
  • Practical cloud-native experience (AWS, Azure, or GCP)
  • 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

  • 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 such as AWS Bedrock, Azure OpenAI
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

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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