Data Engineer (6093) at itD Tech

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

09 Jun, 26

Salary

72.0

Posted On

11 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Hardware Sensor Data, Data Collection Systems, Debugging, Troubleshooting, Distributed Compute Workflows, Benchmarking Tools, Data Visualization, NumPy, SciPy, Pandas, Matplotlib, Seaborn, Signal Processing, JavaScript

Industry

IT Services and IT Consulting

Description

itD is seeking a Data Engineer to support the development and validation of next-generation wearable technologies by enabling scalable, high-quality data collection and analysis workflows. This role will contribute directly to device-testing initiatives by building and maintaining data pipelines, ensuring sensor data quality, and supporting research and product teams with reliable datasets and insights. The ideal candidate will bring experience in hardware-based data collection, data engineering, and scientific analysis, along with a track record of delivering reliable data infrastructure and actionable insights that improve product performance. Location: Onsite – New York, NY (5 days per week) Pay Rate: $64- $72 per hour, depending on experience. We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities Design and execute data collection studies in collaboration with research and product teams to capture high-quality biosensor data. Monitor and maintain the integrity and quality of large, multi-sensor datasets, implementing validation, cleaning, and quality monitoring processes. Debug and troubleshoot firmware and software issues impacting data acquisition from hardware sensors. Execute and optimize distributed compute workflows for large-scale dataset processing, metric computation, and analysis. Build and maintain benchmarking tools and frameworks to evaluate model performance across large datasets. Analyze experimental results, generate hypotheses, and interpret findings to support product and research decisions. Create data visualizations and summaries to communicate data quality, experiment outcomes, and insights to cross-functional teams. Internal Responsibilities Attend regular internal practice community meetings. Collaborate with your itD practice team on industry thought leadership. Complete client case studies and learning material (blogs, media material). Build out material to contribute to the Digital Transformation practice. Attend internal itD networking events (in person and virtual). Work with leadership on career fast-track opportunities. Required Qualifications and Skills 2+ years of experience with Python for data extraction, manipulation, and analysis. Experience with SQL for querying and managing datasets. Experience working with hardware sensor data and data collection systems (e.g., IMU, EMG, optical sensors, or similar). Strong debugging and troubleshooting skills across software and hardware interfaces related to data acquisition. Experience managing and analyzing large, high-dimensional datasets. Experience with scientific computing libraries such as NumPy, SciPy, or Pandas. Experience creating data visualizations using tools such as Matplotlib, Seaborn, or similar libraries. Preferred Qualifications and Skills Experience with signal processing, particularly time-domain signals such as EMG or IMU. Experience building tools or interfaces using JavaScript or TypeScript. Additional hands-on engineering experience supporting hardware-software data pipelines. Experience supporting experimental data collection or research-driven engineering environments. Education Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Statistics, Neuroscience, Biomedical Engineering, or a related field is required. Company Description About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You’ll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints. The itD Digital Experience: Joining us means you’ll be part of our global community, you have a say about your own career journey, and you’ll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit https://itdtech.com/careers to learn more about what working at itD can mean for you. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at recruiting@itdtech.com and let us know the nature of your request and your contact information. Additional Info Dynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today!

Responsibilities

The Data Engineer will design and execute data collection studies for high-quality biosensor data, while monitoring and maintaining the integrity of large, multi-sensor datasets through validation and cleaning processes. This role also involves debugging hardware/software issues impacting data acquisition and executing optimized distributed compute workflows for large-scale data processing.