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

- **Company:** Nexiva Inc
- **Location:** Rockville, MD, United States
- **Experience:** Expert
- **Salary:** $131,300.0 - $237,350.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Big Data, Cloud Engineering, Program Optimization, Continuous Integration, DevOps, Distributed Systems, Elasticsearch, Python (Programming Language), Open Source Technology, Requirements Management, Scala (Programming Language), SQL Databases, Data Processing, Google Cloud, Apache Spark, Generative AI, Gitlab, Containerization, Kubernetes, Optimization Algorithms, Bitbucket, Data Management, Data Pipelines, Serverless Computing
- **Published:** July 4, 2026
- **Apply:** https://www.careerjet.com/jobad/us342c7134b5a2afa17136d24a6fe44954

## About the Role

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

## Description

* 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)

Technical Environment

 * Cloud Platforms: AWS (current), with exposure to Google Cloud and open-source ecosystems
 * Core Technologies:
 * Kubernetes (primary focus)
 * Elasticsearch
 * Big Data frameworks (EMR, distributed systems)
 * Programming Languages: Python, SQL, Scala (flexible)
 * DevOps & Tooling: GitLab, Bitbucket, CI/CD pipelines, Title: Senior Big Data Engineer (Kubernetes / AWS / Spark) Location : DC Metro area, NYC Metro area (hybrid, 3x week) Target Start Date : ASAP Type: contract Pay Rate: DOE We…
 + 2 days ago, Software Guidance & Assistance, Inc., (SGA), is searching for a Big Data Engineer for a CONTRACT assignment with one of our premier Regulatory clients in the DMV area. This posit…
 + 1 month ago
+


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