Sensor Data Engineer | Remote

Crossing Hurdles is seeking a Data Engineer I - Sensor Data Specialist to join their team. The role involves designing data collection studies, monitoring data quality, and analyzing datasets to support research insights.

Responsibilities:

• Design and execute data collection studies in collaboration with research and product teams to capture high-quality biosensor datasets
• Monitor and maintain data quality across multiple sensor streams, implementing validation, cleaning, and specialized monitoring processes
• Debug firmware and software issues related to sensor data acquisition and ensure reliable hardware data collection
• Execute and optimize distributed computing workflows for large-scale dataset analysis and metric computation
• Build and maintain benchmarking tools and evaluation pipelines used to assess model performance
• Analyze experimental results, generate hypotheses, and interpret findings from data collection experiments
• Develop visualizations that support research insights and team decision-making
• Manage and process large, high-dimensional datasets generated from sensor-based systems

Requirements:

• Academic background in computer science, electrical engineering, statistics, neuroscience, biomedical engineering, or a related discipline
• Professional experience performing data extraction, transformation, and visualization using Python and SQL
• Experience working with hardware sensors and data collection systems involving real-world human data
• Knowledge of signal processing techniques related to time-series signals or medical imaging systems
• Experience handling large and complex datasets in research or engineering environments
• Strong debugging capabilities across data pipelines and firmware/software interfaces
• Familiarity with scientific computing and visualization tools such as NumPy, SciPy, Pandas, Matplotlib, Seaborn, or similar frameworks