Sr Data Infrastructure Engineer - Santa Clara

Job summary

Design data systems that power real-time insights for next-generation robotics products and shape how humans manage and interact with robotic fleets.

Responsibilities

• Own the full ingestion path from edge to cloud, ensuring robot telemetry, sensor data, and warehouse events are reliably captured, transported, and made available for downstream systems.
• Design, build, and operate scalable pipelines and foundational data layers (streaming and batch) that deliver low-latency, reliable data for analytics, AI/ML, and product features.
• Implement observability, monitoring, and CI/CD practices to ensure pipeline quality and keep data flows robust, maintainable, and trustworthy.
• Collaborate directly with robotics, AI/ML, and product teams to translate product requirements into resilient data systems that unlock features in Vista, Portal, and Scoutmap.

Qualifications

• 5+ years of professional experience in data engineering or data infrastructure roles.
• Strong proficiency in Python and SQL, with the ability to write production-quality, scalable, and well-tested code.
• Proven experience designing and operating ingestion pipelines and staging layers (streaming and batch) that support downstream transformations.
• Experience deploying and managing cloud data infrastructure in AWS using infrastructure-as-code (e.g., Terraform, Kubernetes, Docker).
• Hands-on experience with cloud-based data platforms, storage systems, and infrastructure.
• Familiarity with data quality practices, testing frameworks, and CI/CD for data pipelines.
• Highly motivated teammate with excellent oral and written communication skills.
• Enjoy working in a fast-paced, collaborative, and dynamic start-up environment as part of a small team.
• Willingness to travel occasionally for on-site support or testing, as needed.
• Must have and maintain US work authorization.

Job description