Data Loop Pipeline Engineer

**Responsibilities:**

• Build and operate ingestion pipelines for flight test, simulation and operational data, including format normalization, time alignment across sources, and quality validation at the gate.
• Implement dataset curation and versioning with full lineage: what went into a dataset, from where, processed how, and by which version of which tool.
• Build automated mining and triage for the rare and interesting — anomalies, disagreements between learned and rule-based systems, near-boundary events — so the flywheel prioritizes signal over volume.

**Qualifications:**

• Degree in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, Applied Math, or a related subject.
• 3+ years in data engineering, with production ownership of pipelines feeding ML training.
• Strong Python and SQL; solid grasp of data modeling, storage formats and processing frameworks.

**Nice to Have:**

• Robotics, autonomous vehicle or aerospace data experience.
• Familiarity with flight data formats and avionics bus data.
• Experience building internal tools that engineers actually chose to use.