Flight Test Instrumentation & Data Engineer

The Flight Test Instrumentation (FTI) & Data Engineer will be responsible for the end-to-end handling, quality assurance, accessibility, and long-term management of all flight data. The primary objective is to ensure that full-aircraft data, from the onboard sensors and DAQ systems to the final processing tools, is available to every engineering team through a reliable, efficient, and standardized workflow.

Flight Test Instrumentation (FTI) & DAQ Pipeline

• Manage the data pipeline from the physical sensor and Data Acquisition (DAQ) level for the full aircraft, ensuring seamless and accurate transmission into the telemetry and storage systems.
• Maintain sensor configuration, calibration records, and metadata to guarantee the accurate translation of raw physical signals into usable engineering units.
• Collaborate with hardware, software and integration teams to define sensor requirements, DAQ architectures, scaling, and telemetry bandwidth allocations.
• Troubleshoot and resolve data anomalies at the DAQ and sensor level (e.g., signal noise, dropouts, faulty scaling) before they propagate into downstream databases.

Data Infrastructure & Accessibility

• Maintain reliable extraction of flight data from InfluxDB.
• Develop and maintain standardized local data structures for analysis, plotting, and visualization.
• Optimize access to large flight datasets while minimizing CPU and memory usage.
• Design and maintain an efficient local storage solution for processed flight data.
• Support future improvements to the flight data architecture as storage requirements, sensor counts, and analysis needs continue to evolve.

Data Quality & Analysis Support

• Maintain derived datasets to ensure common calculations and signals are shared consistently across teams.
• Ensure strict timing synchronization and timestamp accuracy across all recorded data, from the sensor acquisition point to the database.
• Monitor data quality, completeness, and integrity throughout the entire pipeline.
• Provide fast data previews for rapid post-flight reviews.
• Enable efficient access to high-frequency sensor data for detailed engineering investigations.
• Support custom querying of processed datasets.

Education & Experience

• Bachelor’s or Master’s degree in Aerospace Engineering, Computer Science, Data Engineering, or a related technical field.
• 3+ years of professional experience in test instrumentation, data acquisition (DAQ), or sensor-to-database time-series data engineering (aerospace, automotive, or racing/motorsports preferred).
• Hands-on experience working directly with physical aircraft/vehicle sensor installations, DAQ hardware, and telemetry pipelines.

Technical & Domain Expertise

1. Hardware, Sensors & DAQ Architecture

• Strong understanding of physical sensors (e.g., strain gauges, accelerometers, thermocouples, pressure transducers, RTDs, LVDTs, pitot-static tubes).
• Demonstrated knowledge of signal conditioning, sampling rate selection, anti-aliasing filtering, scaling, and sensor calibration procedures.

2. Data Infrastructure & Software Development

• Proficient in Python or MATLAB for data analysis, automated data processing, and visualization library development (e.g., Pandas, Num Py, Sci Py).
• Experience working with time-series databases, specifically InfluxDB (or similar engines), including writing efficient queries (Flux/InfluxQL) and data retrieval pipelines.
• Solid foundation in data structures and memory/CPU optimization when handling high-memory high-frequency continuous time-series datasets.

3. Data Integrity & Signal Processing

• Experience with time stamping and clock synchronization protocols across distributed DAQ hardware and storage nodes.
• Knowledge of basic digital signal processing (DSP) concepts (filtering, FFT, spectral analysis,…