Data Engineer I - Sensor Data Specialist

The main function of the Data Engineer is to develop, evaluate, test, and maintain architectures and data solutions within the organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organization’s data assets.

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.

Qualifications

• Bachelor's or Master of Science degree in computer science, electrical engineering, statistics, neuroscience, biomedical engineering, or other relevant field is required.
• 2+ years of experience performing data extraction, manipulation, and visualization using Python and SQL.
• Experience with hardware sensors, data collection infrastructure, and data analysis pertaining to real-world human data.
• Experience with signal processing pertaining to time domain signals and/or medical imaging systems.
• Experience working with and managing large, high-dimensional datasets.
• 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, Pandas.
• Experience with data visualization libraries such as Matplotlib, Pyplot, Seaborn, ggplot2.

Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.

About Cincinnatus

Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows.

Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus.

Equal Employment Opportunity

Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.