Lead Infrastructure Engineer
Commerce
AnsibleChefDockerGoKubernetesLinuxPHPPrometheusPuppetRubySQLUnix
Senior Data Infrastructure Engineer
Cobot
full-time
Posted on:
Location Type: Remote
Location: Remote • California, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $180,000 - $215,000 per year
Job Level
Senior
Tech Stack
AWSCloudDockerIoTKafkaKubernetesPythonSparkSQLTerraform
About the role
- 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
- 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 while enabling analytics engineers to deliver marts, metrics, and dashboards
- Shape how humans manage and interact with robotic fleets by powering Vista (AI insights) and ScoutMap (3D mapping and environment intelligence)
Requirements
- 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)
- 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
- 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 lead or primary owner of a data pipeline or platform project
- Preferred: Experience with Databricks (Delta Live Tables, SQL Warehouse) and familiarity with dbt or similar tools
- Preferred: Strong understanding of multi-tenant architectures and cost/performance/reliability tradeoffs
- Preferred: Background in streaming systems (Kafka, Flink, Kinesis, or Spark Structured Streaming)
- Preferred: Familiarity with data quality and observability tools (e.g., Great Expectations, Monte Carlo)
- Preferred: Exposure to IoT/robotics telemetry or 3D/spatial data processing (e.g., point clouds, LiDAR, time-series)
- Preferred: Experience working in a product-facing data role, collaborating with product, engineering, and AI/ML teams
Benefits
- equity
- comprehensive benefits
- Option to work remotely within the United States
- Preferred office locations: Santa Clara, CA or Seattle, WA
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLdata engineeringdata infrastructureingestion pipelinescloud data infrastructureinfrastructure-as-codeTerraformKubernetesDocker
Soft skills
communication skillscollaborationmotivationadaptabilityteamwork
