Data Engineer

February 22

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VivSoft

VivSoft is a multidisciplinary company comprising strategists, engineers, designers, and builders focused on solving complex problems with emerging and open technologies. They build high-performance software factories for the Department of Defense and other agencies, delivering AI/ML applications, data science platforms, blockchain, and microservices. Their approach is driven by human-centered design, emphasizing collaboration and scalability. VivSoft co-creates scalable enterprise solutions, particularly for the government sector, utilizing cloud and DevSecOps frameworks while adhering to DoD and NIST guidelines.

Health IT β€’ Cloud β€’ AWS β€’ Health Exchange β€’ State & Local IT

πŸ“‹ Description

β€’ About the company: β€’ VivSoft is an emerging technology company that specializes in using modern technologies to solve our clients' toughest mission challenges. β€’ We are focused on Cloud, Enterprise DevSecOps, Artificial Intelligence, and Digital Customer Experience to drive mission-enabling digital transformation. β€’ Our passion is building mission-focused, open, scalable solutions. β€’ We are a diverse team of strategists, engineers, designers, and creators experienced in building high-performance software and AI factory accelerators by embracing automation. β€’ About the role: β€’ We are looking for a Data Engineer to build a real-time data processing platform that supports fast and reliable data ingestion. β€’ This role involves designing scalable systems, ensuring efficient data flow, and implementing security and compliance measures. β€’ The ideal candidate will help create a high-performance infrastructure that enables real-time access to critical data.

🎯 Requirements

β€’ Security Clearance Requirement: Secret Clearance β€’ Strong expertise in Apache Spark and Kafka for large-scale data processing. β€’ Hands-on experience in building scalable data pipelines for real-time data ingestion and streaming. β€’ Proficiency with Iceberg (or similar alternatives) for managing large-scale data lakes and storage. β€’ Deep understanding of data engineering principles, distributed systems, and stream processing. β€’ Experience in implementing security, access control, and compliance policies in data-intensive environments. β€’ Ability to work with cross-functional teams and stakeholders to define, design, and implement data solutions. β€’ Experience in DoD or other federal cloud environments. Specifically Platform One Iron Bank. β€’ Experience with AI/ML Solutions

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