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

Hirekeyz Inc

Senior Java Spark Developer

Austin, TX · On-site

$56.75 - $72.25/hr

Senior Java Spark Developer Location: Austin, TX and Sunnyvale, CA --Hybrid (3 days Onsite ... Big Data & Cloudera Ecosystem: * Work with Cloudera Hadoop components such as HDFS, Hive, Impala ...

Hirekeyz Inc

Senior Java Spark Developer

Austin, TX · On-site

$56.75 - $72.25/hr

Implement Java-based microservices and APIs for data integration. ✅ Big Data & Cloudera Ecosystem: * Work with Cloudera Hadoop components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop

Hirekeyz Inc

Senior Java Spark Developer

Austin, TX · On-site

$56.75 - $72.25/hr

Implement Java-based microservices and APIs for data integration. ✅ Big Data & Cloudera Ecosystem: * Work with Cloudera Hadoop components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop

General Motors

Senior Data Engineer

Austin, TX · On-site

$133K - $188K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build and operationalize ML workflows for data preparation, feature engineering, model training ... Experience with DLT, structured streaming, Event Hub, Kafka, Scala, or Java in enterprise data ...

General Motors

Senior Data Engineer

Austin, TX · On-site

$133K - $188K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build and operationalize ML workflows for data preparation, feature engineering, model training ... Experience with DLT, structured streaming, Event Hub, Kafka, Scala, or Java in enterprise data ...

General Motors

Senior Data Engineer

Austin, TX · On-site

$133K - $188K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build and operationalize ML workflows for data preparation, feature engineering, model training ... Experience with DLT, structured streaming, Event Hub, Kafka, Scala, or Java in enterprise data ...

Apexon

Java Backend Developer

Austin, TX · On-site

$50 - $65/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... CX, data, DevOps, IoT, mobile, quality engineering, and UX, along with deep expertise in BFSI ... Java Backend Developer Location: Austin, TX Position: 4 Role Overview: We are seeking an ...

Fathom Management LLC

Senior Java Engineer

Austin, TX · Remote

$130K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Java Engineer Client: Department of Veterans Affairs Location: Remote - U.S. Based Salary ... Lead data strategy and migration of shared databases into service-specific data layers while ...

New

Fathom Management LLC

Senior Java Engineer

Austin, TX · Remote

$130K - $150K/yr

  • Dental

  • Vision

  • Retirement

  • PTO

Citizen RequiredPosition OverviewThe Senior Java Engineer will lead the design, development ... Lead data strategy and migration of shared databases into service-specific data layers while ...

New

Lorven Technologies

Java Backend Developer

Austin, TX · On-site

$50 - $65/hr

Our client seeks an Java Back End developer f or a 12 Months project in Sunnyvale, CA and Austin ... Spring (Spring Data, Spring JPA, Spring Web Services) * AWS, CICD, GitHub * DataStax Cassandra

Contact Government Services, LLC

Java Developer

Austin, TX

$140K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The developer will be asked to aggregate data from several different existing sources and prepare ... Java coding and web applications including Java Server Faces Framework. CGS brings motivated ...

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Showing results 21-40

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

Java Data Engineer information

See Austin, TX salary details

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How much do java data engineer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for java data engineer in Austin, TX is $59.89, according to ZipRecruiter salary data. Most workers in this role earn between $49.33 and $67.69 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 Austin, TX?

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

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

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

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

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

Java Data Engineer jobs near you

Senior Java Spark Developer

Hirekeyz Inc

Austin, TX • On-site

$56.75 - $72.25/hr

Other

Re-posted 24 days ago

Job description

Job Title: Senior Java Spark Developer

Location: Austin, TX and Sunnyvale, CA --Hybrid (3 days Onsite),
Employment Type: W2/Full Time/Contract

Experience Required: 9+ years

Job Summary:

We are seeking a Senior Java Spark Developer with expertise in Java, Apache Spark, and the Cloudera Hadoop Ecosystem to design and develop large-scale data processing applications. The ideal candidate will have strong hands-on experience in Java-based Spark development, distributed computing, and performance optimization for handling big data workloads.

Key Responsibilities:

Java & Spark Development:

  • Develop, test, and deploy Java-based Apache Spark applications for large-scale data processing.
  • Optimize and fine-tune Spark jobs for performance, scalability, and reliability.
  • Implement Java-based microservices and APIs for data integration.

Big Data & Cloudera Ecosystem:

  • Work with Cloudera Hadoop components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop.
  • Design and implement high-performance data storage and retrieval solutions.
  • Troubleshoot and resolve performance bottlenecks in Spark and Cloudera platforms.

Collaboration & Data Engineering:

  • Collaborate with data scientists, business analysts, and developers to understand data requirements.
  • Implement data integrity, accuracy, and security best practices across all data processing tasks.
  • Work with Kafka, Flume, Oozie, and Nifi for real-time and batch data ingestion.

Software Development & Deployment:

  • Implement version control (Git) and CI/CD pipelines (Jenkins, GitLab) for Spark applications.
  • Deploy and maintain Spark applications in cloud or on-premises Cloudera environments.

Required Skills & Experience:

  • 8+ years of experience in application development, with a strong background in Java and Big Data processing.
  • Strong hands-on experience in Java, Apache Spark, and Spark SQL for distributed data processing.
  • Proficiency in Cloudera Hadoop (CDH) components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop.
  • Experience building and optimizing ETL pipelines for large-scale data workloads.
  • Hands-on experience with SQL & NoSQL databases like HBase, Hive, and PostgreSQL.
  • Strong knowledge of data warehousing concepts, dimensional modeling, and data lakes.
  • Proven ability to troubleshoot and optimize Spark applications for high performance.
  • Familiarity with version control tools (Git, Bitbucket) and CI/CD pipelines (Jenkins, GitLab).
  • Exposure to real-time data streaming technologies like Kafka, Flume, Oozie, and Nifi.
  • Strong problem-solving skills, attention to detail, and ability to work in a fast-paced environment.