Software and Data Engineer

About the position

MPR Associates, Inc. (MPR), a thriving multi-discipline, specialty engineering services and consulting firm, is seeking a capable and motivated Software and Data Engineer for MPR's Alexandria, VA office. If you are seeking a unique, challenging, and rewarding career opportunity, MPR may be the right company for you. Founded in 1964, MPR has a wide and growing client base in the fields of power and energy, federal services, and health and life sciences. We work throughout the United States as well as internationally. Headquartered in Alexandria, Virginia, we also have offices in East Lyme, Connecticut, and Burlington, Massachusetts. MPR makes challenging projects successful, delivering safe and reliable technical solutions across the entire project or product life cycle to benefit our clients and society as a whole. We hire the best and brightest, which results in a high-performance culture built on trust and respect, making MPR an exceptional place to work.

Responsibilities

• Address multifaceted challenges presented by our clients.
• Interface and communicate with clients, ensuring their needs are met.
• Collaborate with cross-functional teams to ensure a comprehensive understanding of the holistic needs of a client.
• Rapidly integrate new software and data skills, keeping abreast of emerging tech stacks and tools.
• Contribute to projects spanning across various industries, including nuclear, energy, medical, and federal initiatives.
• Design and implement technical architecture and process.
• Write software documentation outlining quality assurance standards, verification, validation, testing, etc.

Requirements

• U.S Citizenship is required.
• Bachelor's or Master's degree in engineering, computer science, or a related field with two (2) or more years of experience in one or more of the following fields: Data Engineering, Cloud Computing, Embedded Systems/Firmware, Application Development.

Nice-to-haves

• Familiarity with embedded systems and software/hardware integration.
• Familiarity with networking and information security.
• Familiarity with HPC/distributed systems.
• Familiarity with machine learning frameworks (PyTorch, Tensorflow, Keras, ScikitLearn etc.).
• Familiarity with software development methodologies such as management practices (waterfall, agile) and deployment/integration (DevOps, CI/CD, Git, Docker, Atlassian).