parquet jobs in San Diego

Staff Engineer leading the design and operation of Shield AI's data platform to support autonomous systems, ML workflows, and edge-to-cloud data flows. You will architect distributed storage and compute solutions, build first-party integrations for heterogeneous data sources, and establish operational standards for reliability, security, and observability.…See more The role requires deep expertise in data modeling, API design, distributed systems, Kubernetes infrastructure, and the ability to guide technical direction across autonomy, ML, test, and infrastructure teams.

Senior Software Engineer working on AI-integrated expeditionary systems for the Navy, designing and deploying tactical data pipelines that connect sensors, unmanned systems, and command-and-control platforms. Requires 10+ years in software engineering, data engineering, or related roles, with expert Python skills, containerization experience (Docker/Kubernetes), and hands-on expertise in tactical data formats, event streaming platforms, and system integration.…See more Will collaborate with ML engineers, data engineers, and systems engineers to normalize tactical data, integrate machine learning models, and ensure robust data flow in field-tested operational environments.

SAIC seeks a Senior Software Engineer to integrate AI capabilities into expeditionary systems for the Navy, including sensor kits, unmanned systems, command & control, and TAK. The role spans hands-on development—maintaining Zenoh data mesh in Rust, building React frontends in JavaScript, integrating machine learning models, converting tactical message formats—and technical leadership with senior management.…See more Required qualifications include 9+ years as a software engineer, data engineer, or data scientist; expert Python; intermediate Rust or Go; experience with containerization, event streaming platforms (Kafka, Kinesis, RabbitMQ, Zenoh), tactical data standardization, and data pipeline deployment. Successful candidates will collaborate with ML engineers, systems engineers, and field teams to ensure high-quality data flow and operational performance.