Distributed Systems Engineer: Data & Analytics

Valid8 Financial, Inc.; Dayton (OH); On-site; Full time

Job description

Location: Dayton, Ohio
Security Clearance: U.S. Citizenship Required | Ability to obtain and maintain a U.S. Government Security Clearance

Experience: 3-8 years of experience in systems engineering, distributed systems, or complex software platforms

• Computer Science
• Electrical Engineering
• Software Engineering

Overview

MMB Solutions is seeking a Mid-Level Systems Engineer to support the development of advanced distributed data processing and analytics platforms. This role focuses on research, development, and experimentation with distributed computing architectures, data pipelines, and scalable analytics systems designed to process and analyze multi-modal data sources.

The successful candidate will work with a multidisciplinary engineering team designing and integrating cloud-native infrastructure, distributed processing systems, and advanced analytics workflows supporting complex mission and research environments.

This is an opportunity to contribute to cutting-edge technology development involving distributed systems, data processing frameworks, and advanced analytics architectures.

Key Responsibilities

Systems Engineering & Architecture

• Support the design and evolution of distributed data processing and analytics platforms
• Assist in developing system architectures for scalable data ingestion, processing, and analytics pipelines
• Define and document system interfaces across heterogeneous data sources and processing components
• Contribute to system requirements, architecture documentation, and technical design artifacts

Research and Development

• Support experimentation with distributed computing architectures and large-scale data processing frameworks
• Assist with development of data pipelines capable of ingesting and processing multi-modal datasets
• Participate in research activities exploring new approaches to data analytics, system scalability, and distributed processing
• Contribute to prototype development and evaluation of emerging technical capabilities

Integration and Testing

• Support integration of distributed system components across multiple compute environments
• Participate in system testing, validation, and evaluation of new platform capabilities
• Assist in the development of experimental processing pipelines and analytical workflows
• Support technical demonstrations and system evaluations

Platform Development Support

• Work with software engineers to integrate new platform capabilities and services
• Assist in developing interfaces to new data sources and processing modules
• Support deployment and configuration of distributed system components
• Contribute to performance tuning and system optimization activities

Documentation & Technical Communication

• Develop and maintain system engineering documentation, including architecture diagrams and interface descriptions
• Document experimental results, system evaluations, and technical findings
• Support technical discussions and design reviews with internal engineering teams and external stakeholders

Desired Qualifications

Candidates with the following experience are strongly preferred:

• Experience with distributed systems architectures
• Familiarity with containerized environments (Docker, Kubernetes)
• Experience working with data pipelines or streaming data architectures
• Experience integrating analytics or machine learning workflows
• Experience with cloud-native infrastructure or DevOps environments
• Familiarity with simulation environments or complex data processing systems
• Experience supporting research and development programs

MMB Solutions is a technology-driven engineering firm focused on developing advanced distributed computing and analytics platforms. Our engineers work on complex technical challenges involving large-scale data processing, emerging computing architectures, and next-generation analytics systems.

We offer an environment where engineers can work on innovative technologies, collaborate with highly technical teams, and contribute directly to the development of new capabilities.

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