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cloud sql python pandas data pipelines📋 Description
- Lead architecture and implementation of data pipelines for fleet health monitoring, predictive maintenance, and system diagnostics.
- Develop dashboards, analytics, and reporting tools for engineering, manufacturing, and flight teams.
- Establish early alerting systems for key subsystems (e.g. powertrain, battery, control).
- Collaborate with Firmware, GNC, Flight Test, and PM to define logging, KPIs, and success metrics across programs.
- Drive roadmap for flight data visibility and analysis tools that extend from internal users to eventual customers.
- Serve as technical lead for data-informed decision-making — from reliability engineering to field service readiness.
🎯 Requirements
- Bachelor’s degree in Data Science, Software Engineering, Systems Engineering, Electrical/Mechanical Engineering, or related field.
- 10+ years of experience in data engineering, analytics, or system-level insight generation in complex technical programs.
- Strong proficiency in Python and tools like Pandas, Plotly, and Streamlit for data wrangling and visualization.
- Experience designing dashboards and alerting systems for hardware or fleet-based systems; telemetry, sensors, logging, and data management for hardware-in-the-loop or real-world systems.
- Experience working across engineering and operational teams to translate problems into measurable insights; ability to lead data initiatives.
- Preferred: Experience with electric aircraft, autonomous systems, EVs, or robotics platforms; familiarity with SQL and cloud-based data tools; knowledge of maintenance operations; leadership experience.
🎁 Benefits
- Medical, dental, vision, and 401k plans.
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