Senior Data Engineer

About the Company

Foundry Robotics is building an AI-native robotics manufacturing company focused on deploying advanced assembly and production capability for leading robotics companies and national-security-critical hardware. We are reimagining manufacturing through advanced robotics to rebuild the American manufacturing industry as an AI-first, assembly-focused, dual-use contract manufacturer.

Responsibilities

• Design, build, and operate petabyte-scale data pipelines for manufacturing, visual, and telemetry data
• Implement reliable data movement across embedded, edge, on-prem, and cloud environments
• Build streaming and batch processing systems for high-throughput factory-floor data
• Define and own the Factory OS data roadmap, including architecture, governance, and tooling
• Design data models, schemas, and contracts for application, ML, and analytics consumers
• Drive data quality standards through validation, monitoring, and anomaly detection
• Contribute to backend services including APIs, event-driven systems, and database layers
• Partner with ML engineers to ensure training and inference pipelines have access to clean datasets

Requirements

• 5-7 years of experience in data engineering at terabyte-to-petabyte scale
• Deep hands-on experience with Spark, Flink, Kafka, Airflow, or dbt
• Strong proficiency in Python and SQL
• Experience designing architectures spanning streaming, batch, lakehouse, and warehouse patterns
• Solid understanding of distributed systems, storage engines, and data modeling
• Experience with cloud data services (AWS, GCP, or Azure)
• Ability to operate independently and own complex systems end-to-end

Preferred Qualifications

• Experience with visual or image data pipelines at scale
• Background in manufacturing, robotics, or industrial IoT
• Familiarity with ML data preparation (feature stores, dataset versioning)
• Experience with edge-to-cloud architectures
• Exposure to Terraform, Pulumi, or Kubernetes