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Java Data Engineer Jobs in Georgia (NOW HIRING)

Optimized Payments

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

... engineer developing secure data workflows and reporting solutions for the payments industry ... Experience must include 18 months of backend development using Java and Spring Boot, automation on ...

Optimized Payments

Senior Data Engineer

Atlanta, GA · Hybrid

$101K - $138K/yr

... engineer developing secure data workflows and reporting solutions for the payments industry ... Experience must include 18 months of backend development using Java and Spring Boot, automation on ...

Aimpoint Digital

Senior Data Engineer 2026 - US,UK

Atlanta, GA · On-site +1

$117K - $155K/yr

... Java, or similar coding languages * 2+ years' experience with dbt Core and/or dbt Cloud preferred * Experience enabling or accelerating data platform engineering workflows with AI tools such as Codex ...

Cargill

Sr. Data Engineer - Ag & Trading

Atlanta, GA

$105K - $142K/yr

Advanced programming skills in Python, Java, Scala, or similar languages. Expert-level proficiency in SQL for data manipulation and optimization. * DEVOPS: Demonstrated experience in DevOps practices ...

Cargill

Senior Data Engineer - Atlanta, GA

Atlanta, GA

$105K - $142K/yr

Advanced programming skills in Python, Java, Scala, or similar languages. Expert-level proficiency in SQL for data manipulation and optimization. * DEVOPS: Demonstrated experience in DevOps practices ...

Aimpoint Digital

Senior Data Engineer 2026 - US,UK

Atlanta, GA · On-site +1

$117K - $155K/yr

... Java, or similar coding languages * 2+ years\' experience with dbt Core and/or dbt Cloud preferred * Experience enabling or accelerating data platform engineering workflows with AI tools such as ...

Cargill

Senior Data Engineer - Atlanta, GA

Atlanta, GA · On-site

$105K - $142K/yr

Advanced programming skills in Python, Java, Scala, or similar languages. Expert-level proficiency in SQL for data manipulation and optimization. * DEVOPS: Demonstrated experience in DevOps practices ...

Cargill

Sr. Data Engineer - Ag & Trading

Atlanta, GA · On-site

$105K - $142K/yr

Advanced programming skills in Python, Java, Scala, or similar languages. Expert-level proficiency in SQL for data manipulation and optimization. * DEVOPS: Demonstrated experience in DevOps practices ...

Cargill

Sr. Data Engineer - Ag & Trading

Atlanta, GA

$101K - $138K/yr

Advanced programming skills in Python, Java, Scala, or similar languages. Expert-levelproficiencyin SQL for data manipulation and optimization. * DEVOPS:Demonstratedexperience in DevOps practices ...

NTT DATA, Inc.

Senior Java Developer

Alpharetta, GA · On-site

$54.50 - $69.50/hr

NTT DATA is a trusted global innovator of business and technology services, seeking a Senior Java Developer to join their team in Alpharetta, Georgia. The role involves designing and developing ...

NTT DATA Services

Java Developer - HYBRID

Alpharetta, GA · On-site +1

$49.75 - $64.50/hr

Req ID: 378374 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... We are currently seeking a Java Developer - HYBRID to join our team in Alpharetta, Georgia (US-GA ...

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All JobsJava Data Engineer JobsJava Data Engineer Jobs in Georgia

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 are popular job titles related to Java Data Engineer jobs in Georgia? For Java Data Engineer jobs in Georgia, the most frequently searched job titles are:
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:
Java Data Engineer jobs near you
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.

Data Tech Lead with Java

UniqueHire Consulting LLC

Alpharetta, GA • On-site

Other

Posted 7 days ago

Job description

Data Tech Lead with Java

Alpharetta GA (or) Berkley Hills NJ - Onsite

Duration - 1 Year/40 hrs per week

1. Role Overview

Experienced Data Technical Lead to design, develop, and support scalable cloud-based data platforms and streaming data pipelines.

The ideal candidate should possess strong expertise in Databricks, PySpark, Python, Java-based streaming technologies, GitLab CI/CD pipelines, and cloud migration initiatives.

2. Key Responsibilities

- Design and develop scalable Databricks ETL/ELT pipelines (Lakeflow & LakeBase) using Azure Databricks, PySpark, and Python.

- Implement real-time and batch data ingestion frameworks using Kafka and Java-based streaming solutions.

- Develop and optimize data processing workflows in Azure Databricks.

- Integrate and manage data movement between PostgreSQL, YugabyteDB (Cassandra-based NoSQL), and cloud platforms.

- Build reusable frameworks for data ingestion, transformation, validation, and orchestration.

- Develop SQL-based data transformations, reporting datasets, and performance optimization solutions.

- Design and implement GitLab CI/CD pipelines for automated deployment, testing, and release management of Databricks notebooks, jobs, and data pipelines.

- Support Snowflake on-premises to Azure cloud migration initiatives.

- Ensure coding standards, performance tuning, monitoring, and operational stability of data pipelines.

- Develop Power BI dashboards and reports for business intelligence and analytics reporting.

- Develop API automation and integration solutions for data exchange between enterprise systems.

3. Required Skills.

- Strong experience in Python and PySpark development.

- Hands-on experience with Azure Databricks and databricks SQL.

- Experience in Java-based streaming and ingestion frameworks.

- Strong knowledge of Apache Kafka streaming concepts.

- Experience working with PostgreSQL databases.

- Experience with YugabyteDB or Cassandra-based NoSQL databases.

- Strong SQL development and query optimization skills.

- Hands-on experience with GitLab CI/CD pipeline development and deployment automation.

- Understanding cloud-based data engineering and distributed processing concepts.

- Experience in data migration projects, especially Snowflake on-prem to Azure cloud migration.

- Experience designing enterprise-scale data lake or lakehouse architectures.

- Knowledge of streaming architectures and real-time analytics.

- Familiarity with cloud monitoring and observability tools.

Apply