Data Engineer (Biosensor)

Are you passionate about transforming data into actionable insights? We’re seeking a talented Data Engineer to craft, evaluate, and maintain innovative data architectures and solutions. In this pivotal role, you'll develop and execute strategies that safeguard, optimize, and unlock the full potential of our organization’s data assets. If you're ready to make a significant impact through cutting-edge data engineering, we want to hear from you!

Job Responsibilities

• Design, plan, and execute data collection studies, working closely with research and product teams to gather high-quality biosensor data.
• Monitor and maintain the quality and integrity of large datasets, implementing robust data validation, cleaning, and quality custom/specialized 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 analysis across large datasets.
• Build, modify, and maintain custom/specialized benchmarking tools, frameworks, and flows for evaluating and comparing model performance on large datasets.
• Generate and test hypotheses and analyze and interpret the results of data collection experiments.
• Leverage data visualization to help the team make decisions.
  
  

Skills

• Experience with hardware sensors, data collection infrastructure, and data analysis of real-world human data.
• Experience with signal processing of time domain signals and/or medical imaging systems.
• Experience working with and managing large, high-dimensional datasets.
• 2+ years of experience performing data extraction, manipulation, and visualization using Python and SQL.
• Strong debugging skills, particularly related to data acquisition and firmware/software interfaces.
• Experience with JavaScript/Typescript for front-end UI development.
• Experience with scientific computing and analysis packages such as NumPy, SciPy, and Pandas.
• Experience with data visualization libraries such as Matplotlib, Pyplot, Seaborn, and ggplot2.
  
  

Education/Experience

• A bachelor's or Master of Science degree in computer science, electrical engineering, statistics, neuroscience, biomedical engineering, or other relevant field is required.
  
  

Benefits

• 401(k).
• Dental Insurance.
• Health insurance.
• Vision insurance.
• We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people.
• The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.
  
  

Additional Responsibilities

• Participate in OP monthly team meetings and participate in team-building efforts.
• Contribute to OP technical discussions, peer reviews, etc.
• Contribute content and collaborate via the OP-Wiki/Knowledge Base.
• Provide status reports to OP Account Management as requested.
  
  

About Us

At OP, we help you harness the power of technology for maximum impact. A technology consulting and solutions company, we offer advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields including AI, cyber security, enterprise architecture, and beyond. For nearly two decades, we’ve been challenging the status quo of the consulting industry, serving up fresh, ingenious thinking through a radically lean structure. Together, this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.