Build and maintain scalable data pipelines and platforms to support machine learning workflows, ensuring data reliability and quality for analytics.
Primary Function of Position
We are looking for a Data Engineer to build and own the data foundations that power machine learning and analytics. This role is focused on designing scalable data platforms, organizing high-quality datasets, and enabling ML scientists to efficiently develop, train, and deploy models.
You will work closely with ML scientists, data scientists, and software engineers to ensure data is reliable, discoverable, and production ready.
What Success Would Look Like:
• ML scientists can easily access trusted, well-documented data
• Data pipelines are reliable, observable, and scalable
• Data quality issues are detected early and resolved quickly
• The data platform accelerates ML development and deployment
Essential Job Duties
Required Skills and Experience
Required Education and Training
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related quantitative field, or equivalent practical experience. Advanced degree or relevant certifications are a plus but not required
Working Conditions
None
Preferred Skills and Experience
Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.
Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.
U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status.
Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process).
For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes.
We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.
Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.
We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.
Intuitive is a global leader in robotic-assisted surgery, specializing in minimally invasive care that enhances the healing potential of physicians and improves patient outcomes. We are dedicated to transforming healthcare delivery through innovative technology and intelligent design, making life-enhancing care accessible to millions.
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Data Engineer Q&A's