It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide.

We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.

The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.

If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here.

Primary Function of Position

We are seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines, and enterprise data products that support critical supply chain, manufacturing, and operational decision-making processes. 

This role will be responsible for developing robust data solutions using modern cloud technologies including Snowflake, dbt, Airflow, Python, and SQL, while ensuring data quality, reliability, and governance across the analytics ecosystem. The ideal candidate will possess deep expertise in data engineering principles, data modeling, and ELT frameworks, along with experience supporting supply chain and operations analytics. 

The successful candidate will partner with business stakeholders, analytics teams, and data scientists to enable trusted, self-service access to data and accelerate insight generation through scalable data products and automation. 

Data Engineering & Platform Development 

• Design, develop, and maintain scalable and reliable data pipelines using Python, SQL, Airflow, dbt, Spark, and cloud-native technologies. 

• Develop reusable, maintainable, and version-controlled data models that support operational reporting, analytics, and advanced use cases. 

• Optimize Snowflake data structures, workloads, and SQL performance to improve scalability and cost efficiency. 

• Implement automated data validation, testing, monitoring, and observability frameworks to ensure high data quality and data reliability. 

• Develop data products and semantic data layers that enable self-service analytics and standardized business metrics. 

Cloud Data Platform & Integration 

• Design integrations between Snowflake, enterprise applications, APIs, cloud storage platforms, and operational systems. 

• Build and support data ingestion frameworks utilizing REST APIs, file-based integrations, and event-driven architectures. 

• Leverage Git-based version control and software engineering practices to improve maintainability and reliability of data assets. 

Architecture & Technical Leadership 

• Provide technical leadership on data modeling, pipeline design, orchestration, and platform scalability. 

• Establish standards for documentation, testing, monitoring, and operational support. 

• Mentor junior engineers and promote engineering excellence across the data organization. 

• Drive continuous improvement initiatives focused on platform modernization, automation, and operational efficiency. 

Business Partnership & Collaboration 

• Collaborate with stakeholders across Supply Chain, Service Planning, Manufacturing, Operations, and Analytics organizations to translate business requirements into scalable data solutions. 

• Partner with Data Science, BI, and Enterprise Analytics teams to deliver trusted and governed datasets. 

• Support data-driven decision making through development of reliable, high-quality data products and analytical frameworks. 

Operational Expectations 

• Maintain overlapping working hours with EST mornings to support collaboration with global teams and stakeholders. 

• Participate in production support, root-cause analysis, and incident resolution for critical data pipelines and platforms. 

• Contribute to on-call support and operational excellence activities as needed. 

#LI-Hybrid

Required Skills & Experience:

• 10+ years of overall IT experience with at least 5+ years of hands-on experience in Data Engineering. 

• Expert-level SQL skills and strong understanding of relational and dimensional data modeling techniques. 

• Extensive experience with cloud data platforms, preferably Snowflake. 

• Strong Python programming skills for data engineering and automation. 

• Hands-on experience with:  

  • dbt 

  • Apache Airflow 

  • Spark/PySpark 

  • Data pipeline orchestration frameworks 

• Experience designing and maintaining large-scale ETL/ELT architectures. 

• Experience implementing data quality, testing, monitoring, and observability solutions. 

• Strong understanding of DataOps, CI/CD, Git workflows, and software engineering best practices. 

• Experience integrating enterprise applications through APIs, cloud storage, and data services. 

• Strong communication and stakeholder management skills. 

• Experience supporting Supply Chain, Manufacturing, Logistics, Operations, or Planning domains. 

Preferred Qualifications 

• Experience building enterprise-scale data products and self-service analytics platforms. 

• Expertise with Snowflake performance tuning, workload optimization, and cost management. 

• Experience working with SAP ECC/S4HANA, ERP systems, or supply chain data ecosystems. 

• Familiarity with cloud platforms such as AWS, Azure, or GCP. 

• Experience with containerization technologies such as Docker and Kubernetes. 

• Exposure to open-source Python application frameworks such as Plotly Dash, FastAPI, or Panel. 

• Experience with Tableau, Power BI, or modern analytics platforms. 

• Understanding of data governance, metadata management, lineage, and master data management practices. 

• Knowledge of supply chain processes including inventory planning, demand planning, procurement, logistics, and manufacturing operations. 

Required Education 

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, Data Science, or a related technical field. 

Intuitive is an Equal Employment 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.

We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance 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. 

This position may be filled at a different job level than listed here depending on
business need and/or on the selected candidate’s experience, knowledge and skills.
Compensation will be based primarily on the job level at which the role is filled and the
candidate’s qualifications, consistent with applicable law.