Cobot · 13 hours ago
Sr Data Infrastructure Engineer
United States
Full-time
Remote
Senior Level
$180K/yr - $215K/yr
5+ years expCobot is a company focused on redefining human-robot interaction through innovative robotics solutions. They are seeking a Senior Data Infrastructure Engineer to design and build data systems that support real-time insights for their robotics products, collaborating with various teams to ensure reliable data flow and analytics capabilities.
Information TechnologyMachinery ManufacturingRobotics
No H1B
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
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
Qualification
Required
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
Preferred
Proven experience as the technical owner or lead for a data ingestion platform or foundational data system
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
Benefits
Equity
Comprehensive benefits
Company
Cobot
We're building a new kind of robotics company. One without egos. Driven by empathy. With collaboration at its core.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$140MKey Investors
General CatalystSequoia CapitalNeo
2024-04-10Series B· $100M
2023-07-26Series A· $30M
2022-06-14Seed· $10M
Leadership Team
Brad Porter
Founder and CEO
Recent News
2025-06-22
Company data provided by crunchbase