Opening for - Senior Big Data Engineer (Kubernetes / AWS / Spark) || In person interview || DC/VA/MD/NY/NJ

Nexiva • Rockville, MD

1d • Hybrid

About The Position

This role focuses on building and optimizing large-scale data platforms, with a strong emphasis on Kubernetes-based infrastructure and big data processing in cloud environments.

Requirements

• Strong experience with Kubernetes, including deployment, migration, and infrastructure management
• Experience working with large-scale data (terabytes) and distributed systems
• Proficiency in at least one: Python, SQL, or Scala
• Understanding of data processing optimization techniques
• Familiarity with cloud-native architectures and containerization
• Experience with CI/CD pipelines and modern DevOps practices
• Only Local candidates who can take Assessment and only who are in DC/VA/MD/NY/NJ who can got for F2F interview

Nice To Haves

• Exposure to AI/GenAI tools, agents, or related frameworks is a strong plus
• AWS and/or Kubernetes certifications preferred

Responsibilities

• Design, develop, and optimize data pipelines handling terabyte-scale datasets
• Work with complex algorithms to process and analyze large volumes of data efficiently
• Optimize code performance for scalability and high-throughput systems
• Build and maintain containerized, serverless data platforms using Kubernetes
• Support migration efforts from EMR/EC2-based systems to Kubernetes-based architecture
• Maintain and enhance existing Kubernetes infrastructure
• Develop and manage CI/CD pipelines using tools like GitLab and Bitbucket
• Collaborate on requirements documentation, system design, and implementation
• Contribute to emerging initiatives involving: GenAI integration, AI agents and automation frameworks, Technologies such as Kiro (Amazon GenAI) and MCP (Model Context Protocol)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed