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
- Data Platform & Pipelines
- Design build and maintain scalable reliable data pipelines for batch and streaming data
- Own data ingestion transformation validation and storage across multiple sources
- Optimize data systems for performance and reliability
- Monitor and troubleshoot data pipeline failures and data quality issues
- Data Organization & Quality
- Structure and organize datasets to support ML training evaluation and inference
- Define and maintain schemas metadata and data documentation
- Implement data quality checks validation frameworks and monitoring
- Support data versioning lineage and reproducibility
- ML Enablement
- Partner closely with ML scientists to understand data requirements
- Build and maintain feature pipelines and ML-ready datasets
- Support ML workflows by ensuring consistent high-quality data inputs
- Enable smooth handoff from experimentation to production
- Collaboration & Standards
- Collaborate with product analytics and engineering teams to align data solutions with business needs
- Establish best practices for data modeling pipeline design and governance
- Contribute to architectural decisions for data and ML platforms
Qualifications :
Required Skills and Experience
- 3 years of experience as a Data Engineer or in a similar role
- Strong proficiency in Python
- Experience building and maintaining production data pipelines
- Experience with cloud data platforms (AWS or GCP)
- Familiarity with data warehousing and lakehouse architectures
- Solid understanding of how data supports machine learning workflows
Required Education and Training
Bachelors 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
- Experience supporting ML platforms or MLOps workflows
- Familiarity with orchestration tools (Ex: Airflow)
- Experience in SQL Docker and Linux
- Experience with big data technologies
- Experience with feature stores and real-time data pipelines
- Knowledge of data governance security and access controls
- Experience with image and video processing
Additional Information :
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.
Mandatory Notices
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 employeeswho 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 governments 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 employeesstart 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.
Remote Work :
No
Employment Type :
Full-time
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 depl...
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
- Data Platform & Pipelines
- Design build and maintain scalable reliable data pipelines for batch and streaming data
- Own data ingestion transformation validation and storage across multiple sources
- Optimize data systems for performance and reliability
- Monitor and troubleshoot data pipeline failures and data quality issues
- Data Organization & Quality
- Structure and organize datasets to support ML training evaluation and inference
- Define and maintain schemas metadata and data documentation
- Implement data quality checks validation frameworks and monitoring
- Support data versioning lineage and reproducibility
- ML Enablement
- Partner closely with ML scientists to understand data requirements
- Build and maintain feature pipelines and ML-ready datasets
- Support ML workflows by ensuring consistent high-quality data inputs
- Enable smooth handoff from experimentation to production
- Collaboration & Standards
- Collaborate with product analytics and engineering teams to align data solutions with business needs
- Establish best practices for data modeling pipeline design and governance
- Contribute to architectural decisions for data and ML platforms
Qualifications :
Required Skills and Experience
- 3 years of experience as a Data Engineer or in a similar role
- Strong proficiency in Python
- Experience building and maintaining production data pipelines
- Experience with cloud data platforms (AWS or GCP)
- Familiarity with data warehousing and lakehouse architectures
- Solid understanding of how data supports machine learning workflows
Required Education and Training
Bachelors 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
- Experience supporting ML platforms or MLOps workflows
- Familiarity with orchestration tools (Ex: Airflow)
- Experience in SQL Docker and Linux
- Experience with big data technologies
- Experience with feature stores and real-time data pipelines
- Knowledge of data governance security and access controls
- Experience with image and video processing
Additional Information :
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.
Mandatory Notices
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 employeeswho 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 governments 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 employeesstart 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.
Remote Work :
No
Employment Type :
Full-time
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