Senior Data Infrastructure Engineer, Collaborative Robots

• 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 analytics and product use cases
• 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

Desirable

• This role is ideal for engineers who enjoy working at the intersection of streaming systems, analytics platforms, and mission-critical operations
• You’ll collaborate across robotics, AI, and product teams to architect and scale the backbone that powers Vista (our AI insights layer) and ScoutMap (our 3D mapping and environment intelligence system)
• From streaming ingestion to analytics-ready marts, your work will ensure our customers can ask “what’s happening now?”—whether it’s the state of a robot fleet, the readiness of a facility, or the flow of critical tasks—and always get fast, reliable answers
• 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
• Build and maintain ingestion pipelines from object storage (e.g., S3) into Databricks, including raw → staged → analytics-ready layers, supporting both streaming and batch workloads
• Own the reliability and CI/CD of the data warehouse and foundational data layers, enabling safe, repeatable deployment of schema changes, transformations, and infrastructure that analytics engineers depend on
• Implement observability, monitoring, and data quality checks to ensure pipeline correctness, detect failures or drift, and maintain trust in data used by Vista, Portal, and Scoutmap
• Scale and optimize multi-tenant data infrastructure, balancing performance, reliability, and cost-efficiency as Cobot’s customer base and data volume grow
• Collaborate directly with robotics, AI/ML, product, and analytics teams to translate product requirements into resilient data systems that unlock customer-facing features
• Establish and enforce best practices for data engineering, reliability, security, and CI/CD across ingestion, staging, and warehouse layers—owning the foundations while enabling analytics engineers to ship metrics, marts, and dashboards efficiently