Data Engineer I - Sensor Specialist at Mercor

Data Engineer I – Sensor Data Specialist | $60–80/hr | New York, NY

Join a cutting-edge team as a Data Engineer I focused on biosensor data infrastructure. In this role, you will design, build, and maintain data architectures and pipelines that support real-world human sensing research and product development. You'll work closely with research and engineering teams to ensure high-quality data collection, processing, and analysis across multiple sensor modalities.

Key Responsibilities

• Design, plan, and execute data collection studies in collaboration with research and product teams to gather high-quality biosensor data.
• Monitor and maintain the quality and integrity of large datasets, implementing robust validation, cleaning, and custom monitoring processes for multiple sensor streams (IMU, EMG, optical sensors, etc.).
• Debug and troubleshoot firmware and software issues related to data collection, ensuring reliable data acquisition from hardware sensors.
• Execute, debug, and optimize distributed compute workflows for metric computation and large-scale data analysis.
• Build, modify, and maintain custom benchmarking tools and frameworks for evaluating and comparing model performance on large datasets.
• Generate and test hypotheses; analyze and interpret results from data collection experiments.
• Leverage data visualization techniques to support data-driven team decision-making.

Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Statistics, Neuroscience, Biomedical Engineering, or a related field.
• 2+ years of experience with data extraction, manipulation, and visualization using Python and SQL.
• Experience with hardware sensors, data collection infrastructure, and real-world human data analysis.
• Experience with signal processing for time-domain signals and/or medical imaging systems.
• Proven ability to work with and manage large, high-dimensional datasets.
• Strong debugging skills related to data acquisition and firmware/software interfaces.
• Experience with JavaScript/TypeScript for front-end UI development.
• Proficiency with scientific computing packages: NumPy, SciPy, Pandas.
• Experience with data visualization libraries: Matplotlib, Pyplot, Seaborn, ggplot2.

This is a W-2 full-time role administered by Cincinnatus, an enterprise staffing company placing professionals within leading technology client teams.