Sr Data Infrastructure Engineer

Are you excited to design data systems that power real-time insights for next-generation robotics products? Do you thrive in fast-paced environments where flexibility, autonomy, and collaboration are key? If you’re passionate about building pipelines that transform high-volume telemetry and 3D sensor data into trustworthy, low-latency insights—and want to shape how humans manage and interact with robotic fleets—we invite you to join us at Cobot as a Senior Data Infrastructure Engineer.

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.

Collaborative Robotics is a team of innovators and builders redefining the future of human-robot interaction. We are working to realize a world where robots are a trusted extension of your surroundings. They work, adapt, and react around you. Not the other way around.

This role is located in our Santa Clara (HQ) or Seattle offices. The role is also open to remote work from the San Francisco Bay Area, Seattle, Boston, Boulder, or Pittsburgh.

• 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.
  Scale and optimize multi-tenant infrastructure, balancing performance, reliability, and cost-efficiency as Cobot’s customer base grows.

• 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.

• Establish and enforce best practices for data engineering, reliability, and security at Cobot—owning ingestion and foundational layers, while enabling analytics engineers to deliver marts, metrics, and dashboards.
  
  

Minimum 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.

Preferred Qualifications:

• Proven experience as the technical lead or primary owner of a data pipeline or platform project.

• Experience with Databricks (Delta Live Tables, SQL Warehouse) and familiarity with dbt or similar tools to support analytics engineers.

• Strong understanding of multi-tenant architectures, with a track record of balancing cost-efficiency, performance, and reliability at scale.

• Background in streaming systems (Kafka, Flink, Kinesis, or Spark Structured Streaming).

• Familiarity with data quality and observability tools (e.g., Great Expectations, Monte Carlo).

• Exposure to IoT/robotics telemetry or 3D/spatial data processing (e.g., point clouds, LiDAR, time-series).

• Experience working in a product-facing data role, collaborating directly with product, engineering, and AI/ML teams to deliver data systems that enable new customer-facing features.

• Demonstrated ability to translate product requirements into scalable data solutions with measurable business impact.

The base salary range for this position is $180,000 - $215,000 plus equity and comprehensive benefits. Our salary ranges are determined by role and experience level. The range reflects the minimum and maximum target for new hire salaries for the position in the noted geographic area. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training.

Cobot is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

To all recruitment agencies: Cobot does not accept agency resumes. Please do not forward resumes to our employees. Cobot is not responsible for any fees related to unsolicited resumes.