Software Engineer, Data Platform

Responsibilities

• Design, implement, and maintain high-throughput data pipelines for kHz-class, high-channel-count sensor telemetry across test and production environments.
• Design and operate time-series storage and industrial data historians for long-term retention, query performance, and schema evolution.
• Build ingestion and streaming services with a focus on buffering, backpressure, idempotency, and no silent data loss.
• Define and champion modern software engineering practices, data architecture, schema standards, testing strategies, and operational best practices across the data platform.
• Work closely with controls, test automation, and visualization teams to feed downstream analytics and live dashboards directly.
• Lead debugging, root cause analysis, and reliability improvements across the full ingestion-to-storage stack.
• Basic Qualifications
• Bachelor’s degree or higher in Computer Science, Computer Engineering, Software Engineering, or a related field.
• 5+ years of experience building data pipelines, streaming systems, or backend data infrastructure.
• Strong, production-level experience in Python and SQL.
• Hands-on experience with high-throughput data ingestion and time-series or historian storage, with a strong understanding of distributed systems and data reliability.
• Experience with high-reliability, on-premise, 24/7 deployments in safety-critical environments.