Tech Stack

Description

You will lead architecture and implementation of data pipelines for fleet health monitoring, predictive maintenance, and system diagnostics. You'll develop dashboards, analytics, and reporting tools for engineering, manufacturing, and flight teams, and establish early alerting systems for key subsystems. You'll 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, Streamlit, or equivalent for data wrangling and visualization
• Experience designing dashboards and alerting systems for hardware or fleet-based systems
• Proven ability to work across engineering and operational teams to translate problems into measurable insights
• Deep understanding of telemetry, sensors, logging, and data management for hardware-in-the-loop or real-world systems

Responsibilities

• 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
• Champion best practices around telemetry design, data security, and long-term scaling