Description:

VivSoft is an emerging technology company that specializes in using modern technologies to solve clients' toughest mission challenges.
The company focuses on Cloud, Enterprise DevSecOps, Artificial Intelligence, and Digital Customer Experience to drive mission-enabling digital transformation.
The Data Engineer role involves building a real-time data processing platform that supports fast and reliable data ingestion.
Responsibilities include designing scalable systems, ensuring efficient data flow, and implementing security and compliance measures.
The ideal candidate will help create a high-performance infrastructure that enables real-time access to critical data.
Key responsibilities include designing and implementing a scalable and maintainable real-time data processing infrastructure, developing and optimizing data ingestion pipelines, ensuring real-time data serving for decision-making, working with Apache Spark, Kafka, and Iceberg, architecting scalable solutions, establishing security and governance policies, and continuously monitoring system performance.

Requirements:

A Secret Clearance is required for this position.
Strong expertise in Apache Spark and Kafka for large-scale data processing is necessary.
Hands-on experience in building scalable data pipelines for real-time data ingestion and streaming is essential.
Proficiency with Iceberg (or similar alternatives) for managing large-scale data lakes and storage is required.
A deep understanding of data engineering principles, distributed systems, and stream processing is needed.
Experience in implementing security, access control, and compliance policies in data-intensive environments is crucial.
The ability to work with cross-functional teams and stakeholders to define, design, and implement data solutions is important.
Experience in DoD or other federal cloud environments, specifically Platform One Iron Bank, is preferred.
Experience with AI/ML solutions is also desirable.

The position offers a full-time remote work opportunity.
Employees will be part of a diverse team of strategists, engineers, designers, and creators.
The company emphasizes building mission-focused, open, scalable solutions.
Employees will have the chance to work on high-performance software and AI factory accelerators by embracing automation.