Senior Data Engineer with AWS

MACHINE LEARNING TECHNOLOGIES LLC; Atlanta (GA); On-site; USD 120,000 - 160,000; Full time

Job summary

Machine Learning Technologies LLC in Atlanta is seeking a hands-on Senior Data Engineer to support a large-scale modernization and cloud migration. The role focuses on building Java/Spring Boot REST APIs and Python-based ETL pipelines on Databricks, deployed on AWS.

You will collaborate with backend engineers, data teams and DevOps to implement cloud-native solutions, containerization with Docker, Kubernetes orchestration, and robust testing, security, and performance practices.

Qualifications

• Hands-on Senior Java & Data Engineer with AWS-focused backend and data-pipeline experience.
• Solid background in Java/Spring Boot REST APIs and Python-based ETL/data pipelines on Databricks.
• Strong knowledge of cloud-native development, containers, microservices, and modern engineering practices.

Responsibilities

• Design, develop, and maintain scalable REST APIs and backend services with Java and Spring Boot.
• Build modular microservices and API-first architectures for large-scale modernization.
• Develop Python-based ETL/data pipelines on Databricks and integrate with AWS services.
• Containerize applications with Docker and deploy via Kubernetes, including CI/CD and monitoring.
• Collaborate with architects, data engineers, and DevOps throughout the lifecycle.

Skills

Java Spring Boot REST APIs

Python ETL development

Microservices API-driven architectures

Docker and Kubernetes

Unit/Integration/API Testing

Bitbucket and CI/CD

Software engineering fundamentals

Tools

Databricks

PySpark

Apache Spark

Docker

Kubernetes

CI/CD tooling

Job description

Job Overview

Job ID: J53631

Job Title: Senior Data Engineer with AWS

Location: Atlanta, GA

Duration: 10 Months + Extension

Domain Exposure: Aerospace/ Airlines

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

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.

Roles & Responsibilities

• 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
• PySpark / Apache Spark
• 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

Equal Opportunity Employer

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.