Senior Data Engineer with AWS

Machine Learning Technologies, LLC; Atlanta (GA); On-site; USD 130,000 - 185,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a hands-on Senior Java & Data Engineer to support a large-scale modernization and cloud migration on AWS. You will develop Java/Spring Boot REST APIs and Python-based ETL/data pipelines using Databricks in a cloud-native, containerized environment.

The role emphasizes backend engineering, data processing, microservices, and modern engineering practices. You will participate in CI/CD, testing, performance optimization, and cross-functional

Qualifications

• 5+ years of backend engineering and data processing experience.
• Solid understanding of cloud-native development and microservices.
• Experience with Java/Spring Boot REST APIs and Python ETL pipelines.

Responsibilities

• Design, develop, and maintain scalable REST APIs and backend services in Java/Spring Boot.
• Build modular services following microservices and API-first principles.
• Develop Python-based ETL/data pipelines in Databricks on AWS.
• Implement data ingestion, transformation, and validation processes.
• Containerize apps with Docker and deploy on Kubernetes.
• Write unit and integration tests; ensure code quality and security.
• Participate in code reviews, performance tuning, and technical documentation.
• Collaborate with architects, data engineers, and DevOps teams throughout the lifecycle.

Skills

Java

Spring Boot

REST APIs

Python

ETL

Databricks

Docker

Kubernetes

CI/CD

Testing

Tools

Docker

Kubernetes

Bitbucket

CI/CD

Job description

We are looking for a hands-on Senior Java & Data Engineer to support a large-scale application modernization and cloud migration initiative. The role will focus primarily on developing Java/Spring Boot REST APIs and Python-based ETL/data pipelines using Databricks, deployed on AWS.

The ideal candidate will have strong backend engineering and data-processing experience, with a solid understanding of cloud-native development, containerization, microservices, and modern engineering practices.

• Design, develop, and maintain scalable REST APIs and backend services using Java and Spring Boot.
• Develop modular, reusable services following microservices and API-first architecture principles.
• Build and maintain Python-based ETL and data-processing pipelines in Databricks.
• Implement data ingestion, transformation, validation, reconciliation, and error-handling processes.
• Integrate backend services with Databricks, AWS services, and other enterprise systems/data sources.
• Containerize applications using Docker and deploy/manage workloads using Kubernetes.
• Develop unit and integration tests and ensure high standards for code quality, security, performance, and maintainability.
• Participate in solution design, code reviews, troubleshooting, performance optimization, and technical documentation.
• Collaborate with architects, frontend developers, data engineers, DevOps teams, and other stakeholders throughout the development lifecycle.
• Support CI/CD, automated deployments, monitoring, logging, and production readiness for cloud-native components.
• Contribute to modernization by translating legacy capabilities into scalable API-driven and cloud-native solutions.
• Leverage modern AI-assisted development approaches where applicable to improve engineering productivity and automation.

Skills:

• Java, Spring Boot, REST APIs
• Strong Python and ETL development
• Strong understanding of microservices and API-driven architectures
• Docker and Kubernetes
• Unit Testing, Integration Testing and API Testing
• Bitbucket and CI/CD
• Strong debugging, problem-solving, and software engineering fundamentals

Secondary / Preferred:

• AWS and cloud-native application development
• Databricks
• AWS services used for compute, containers, storage, security, integration, monitoring, and data processing
• Data integration and distributed data-processing concepts
• Secure API development and authentication/authorization patterns

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.