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Java Data Engineer Jobs in Georgia (NOW HIRING)

Big Data Engineer

Alpharetta, GA ยท On-site

$54.50 - $72/hr

... python/Java. โ€ข Experience working with Enterprise Data Hub projects/implementations. โ€ข ... Developers on design and development of features and components with a deep understanding of the ...

Senior Data Engineer

Atlanta, GA ยท Hybrid

$101K - $138K/yr

The Senior Data Engineer guides the development of GFS' Data Platform consisting of the data lake ... Preferred languages include but are not limited to Python, Terraform, SQL and Java. * Preferred ...

Staff Data Engineer

Alpharetta, GA ยท On-site +1

$126K - $236K/yr

Programming in Java, Python, or R;SAS or SQL programming languages;Hadoop architecture or HDFS commands;Hadoop and Hive;Designing and optimizing queries to build data pipelines;Writing Extract ...

Senior Data Engineer

Augusta, GA ยท On-site

$98K - $133K/yr

An Altamira Data Engineer is an integral member of an analytic and engineering team. The data ... R, Java, C, MATLAB, ScaLa, or Python; experience accelerating large data transactions across ...

Senior Data Engineer

Gordon, GA ยท On-site

$99K - $135K/yr

An Altamira Data Engineer is an integral member of an analytic and engineering team. The data ... R, Java, C, MATLAB, ScaLa, or Python; experience accelerating large data transactions across ...

Senior Data Engineer

Augusta, GA ยท On-site

$98K - $133K/yr

Experience utilizing programming languages such as SAS, R, Java, C, MATLAB, ScaLa, or Python; experience accelerating large data transactions across industry- leading GPU architectures to answer ...

Senior Azure Data Engineer

Atlanta, GA ยท On-site

$61 - $79.50/hr

Azure Data Factory (ADF), Azure Event Hubs, Azure IoT Hubs, Azure Event Grid * Architect level ... Well versed in Programming languages like Python, Scala, R, Java, SQL, etc., * Experience with UNIX ...

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Java Data Engineer information

See Georgia salary details

$22

$51

$72

How much do java data engineer jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for java data engineer in Georgia is $51.02, according to ZipRecruiter salary data. Most workers in this role earn between $42.02 and $57.64 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, and why are they important?

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 job categories do people searching Java Data Engineer jobs in Georgia look for? The top searched job categories for Java Data Engineer jobs in Georgia are:
Infographic showing various Java Data Engineer job openings in Georgia as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $106,123 per year, or $51 per hour.
ML-Driven Data Engineer (Predictive Analytics Pipelines) - Q125

ML-Driven Data Engineer (Predictive Analytics Pipelines) - Q125

R2 Technologies Corporation

Alpharetta, GA โ€ข On-site

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Posted 4 days ago


Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
ML-Driven Data Engineer (Predictive Analytics Pipelines)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a skilled ML-Driven Data Engineer to build predictive analytics pipelines using Spark or Python. This role focuses on developing real-time and batch pipelines to support machine learning models for actionable insights.
Key Responsibilities
  • Design and implement predictive analytics pipelines using Spark or Python for real-time and batch processing.
  • Develop data workflows to preprocess and feed data into machine learning models for analytics.
  • Integrate ML models into pipelines for automated inference and continuous learning in production.
  • Optimize data pipelines for performance, scalability, and reliability in distributed environments.
  • Collaborate with data scientists to ensure seamless integration of ML models into data workflows.
  • Monitor and troubleshoot pipelines to maintain data quality and model accuracy over time.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Data Engineer with a focus on machine learning and predictive analytics.
  • Proficiency in building real-time and batch pipelines using Spark or Python for ML-driven applications.
  • Experience integrating machine learning models into data pipelines for production use.
  • Strong understanding of distributed data processing and ML workflow integration.

Preferred Qualifications
  • Familiarity with cloud-based ML platforms like AWS SageMaker or Azure ML for pipeline integration.
  • Exposure to advanced Spark features like MLlib for building predictive analytics models.
  • Knowledge of orchestration tools like Airflow for managing complex ML pipelines.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Data Engineer, Predictive Analytics, Machine Learning, Spark, Python, Real-Time, Batch Pipeline