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Java Data Engineer Jobs in San Antonio, TX (NOW HIRING)

Ssd Anc

Cyber Data Engineer

San Antonio, TX · On-site

S. SSS is seeking a Cyber Data Engineer to support our ongoing mission at Lackland AFB in San ... Programming experience in Python, C/C++, Java, or Go. * Demonstrated expertise with malware ...

Cymertek

Cloud Big Data Software Engineer

San Antonio, TX · On-site

$50.75 - $67/hr

Proficiency in programming languages like Python or Java * Experience with cloud platforms like AWS, Azure, or GCP * Expertise in big data tools such as Hadoop, Spark, or Kafka * Knowledge of ...

Cymertek Corporation

Java Software Engineer

San Antonio, TX · On-site

$47 - $64.50/hr

Java Software Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this ... Data Science, Systems Engineering, Artificial Intelligence, Web Development, etc. ALTERNATE ...

Cymertek

Java Software Engineer

San Antonio, TX · On-site

$47 - $64.50/hr

Java Software Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this ... Data Science, Systems Engineering, Artificial Intelligence, Web Development, etc. ALTERNATE ...

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Showing results 21-40

All JobsJava Data Engineer JobsJava Data Engineer Jobs in San Antonio, TX

Java Data Engineer information

See San Antonio, TX salary details

$24

$54

$76

How much do java data engineer jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for java data engineer in San Antonio, TX is $54.50, according to ZipRecruiter salary data. Most workers in this role earn between $44.90 and $61.59 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 San Antonio, TX?

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

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

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

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

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

Java Data Engineer jobs near you
Infographic showing various Java Data Engineer job openings in San Antonio, 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 $113,363 per year, or $54.5 per hour.

Data Engineer w/ Accumulo (MUST have DoD Clearance)

San Antonio, TX • On-site

Sandoval Technology Solutions
See more jobs at Sandoval Technology Solutionsexternal

$103K - $124K/yr

Full-time

Posted 17 days ago

Job description

The ideal candidate will have extensive experience with data integration, processing, and management, specifically utilizing Apache Nifi, RESTful APIs, Hadoop, Accumulo, and Elasticsearch.
Key Responsibilities:
  • Design, develop, and maintain data pipelines to support C2IE deployments.
  • Utilize Apache NiFi for data ingestion, transformation, and routing.
  • Develop and maintain RESTful APIs for seamless data exchange between systems.
  • Implement and manage data storage solutions, including Hadoop, Accumulo, and Elasticsearch.
  • Collaborate with cross-functional teams to understand data requirements and implement effective solutions.
  • Ensure data quality, integrity, and security throughout the data lifecycle.
  • Monitor and optimize data workflows to ensure high performance and reliability.
  • Troubleshoot and resolve issues related to data integration and processing.
  • Stay updated with the latest trends and technologies in data engineering and apply them to improve existing processes.

Required Skills and Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • Proven experience as a Data Engineer or similar role, with a focus on supporting complex data environments.
  • Strong proficiency in Apache NiFi for data integration and processing.
  • Experience in developing and managing RESTful APIs.
  • In-depth knowledge of data storage solutions, including Hadoop, Accumulo, and Elasticsearch.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Strong understanding of data security and compliance requirements.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.

Preferred Qualifications:
  • Experience with Elastic Search and the Elastic Stack
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for data engineering.
  • Knowledge of DevOps practices and tools like Jenkins, Docker, and Kubernetes.
  • Experience with data visualization tools and techniques.
  • Relevant certifications in data engineering or related fields.

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