Senior Data Engineer

Epirus is a high-growth technology company dedicated to overcoming the asymmetric challenges inherent to the future of national security. Epirus' flagship product, Leonidas, is a software-defined system built using intelligent power management techniques which allow power-hungry systems to do more with less.  

Job Summary:  We’re looking for a Senior Data Engineer with a strong foundation in data infrastructure and orchestration, proven in disciplined, structured environments, to take ownership of the full lifecycle of data and model-serving pipelines—from ingestion and transformation (including video) to deployment, monitoring, and optimization. You’ll design and maintain scalable, high-performance data and inference systems, enforce rigorous governance standards, and ensure our pipelines and infrastructure operate with enterprise-grade reliability. 

Data Engineering & Pipeline Development 

• Design, implement, and maintain production-quality data transformation and pipeline code, with clear documentation for reproducibility. 
• Refactor and optimize existing pipelines for performance, scalability, and maintainability. 
• Build and manage databases — including large-scale video data storage, indexing, and retrieval. 
• Develop and orchestrate ETL/ELT workflows (Airflow or similar). 

Infrastructure & Systems Administration 

• Deploy and maintain workloads in Docker/Kubernetes environments. 
• Configure and manage CI/CD automation for seamless releases. 
• Serve as system administrator for pipeline-related infrastructure: user management, permissions, storage, and security controls. 

Guardian of Codebase & Data Governance 

• Maintain strict standards for code quality, testing, linting, and version control. 
• Enforce data governance — versioning, schema enforcement, compliance documentation. 
• Champion reproducibility and operational discipline across all workflows.

•    5+ years of professional data engineering experience in a disciplined environment (enterprise, finance, healthcare, defense, or similar regulated/structured industry).
•    Bachelor’s degree in a related STEM field.
•    Strong experience with Python and C++ in production systems.
•    Proficiency in data pipeline orchestration (Airflow or similar).
•    Strong database design and optimization skills.
•    Experience deploying on Docker/Kubernetes with CI/CD automation.
•    Proven track record as a self-learner who proactively seeks out best practices.
•    Problem-solving mindset with the ability to diagnose complex technical issues and design effective solutions.
•    Detail-oriented — meticulous in code quality, documentation, and system configuration.

• TensorRT optimization for deployed models. 
• Exposure to PyTorch or TensorFlow. 
• Experience with video data processing pipelines in production. 
• Familiarity with basic machine learning algorithms (e.g., regression, classification, deep learning) or willingness to learn to support model deployment and monitoring tasks. 
• Experience with monitoring and observability tools such as Prometheus and Grafana.

• This position is located in our Torrance facility.  

ITAR REQUIREMENTS: 

• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.  

At Epirus, you’ll work with technical peers and great people—and get first crack at some of the defining technology challenges of our time. Here, “impossible” is just a challenge. We're a diverse, fast-growing team of change-makers fueling the future of energy with revolutionary solutions. Join us and rewrite the rules.