Senior Analytics Engineer – Data Applications

Primary Function of Position

We are seeking a Senior Data Analytics & Full Stack Engineer to design and develop interactive, data-driven applications using open-source Python frameworks (such as Plotly Dash, Panel, or FastAPI-based web applications), integrated with modern data platforms such as Snowflake and dbt. This role combines deep expertise in analytics engineering with full-stack Python development to deliver scalable, self-service data solutions that support operations, planning, and decision-making.

The ideal candidate will partner closely with data analysts, data scientists, and business stakeholders to simplify access to insights, improve data quality, and drive automation. This role requires strong experience working within supply chain and operations domains, enabling the development of impactful solutions across planning, logistics, and manufacturing functions.

Essential Job Duties

Data Engineering & Analytics

• Design, build, and maintain scalable data pipelines using Python, dbt, Airflow, and/or Spark
• Develop curated, version-controlled datasets with well-defined metrics and business logic
• Ensure high data quality through testing frameworks, monitoring, and anomaly detection
• Optimize performance of data models and queries within cloud data platforms (Snowflake preferred)

Application Development

• Design and develop user-centric, interactive web applications using open-source frameworks such as Plotly Dash, Panel, or FastAPI-based front ends for data exploration, reporting, and workflow automation
• Build modular, reusable components for visualizations, data input/editing, approval workflows, and predictive use cases
• Deliver scalable and maintainable full-stack solutions leveraging Python frameworks (FastAPI, Flask)

Integration & Platform

• Integrate applications with Snowflake, S3, Smartsheet, and REST APIs to enable end-to-end data workflows
• Support CI/CD pipelines, version control, and containerized deployments (Docker)

Collaboration & Leadership

• Partner with stakeholders across supply chain, operations, and analytics teams to translate business requirements into technical solutions
• Collaborate with Enterprise Analytics teams to ensure alignment with data governance, security, and compliance standards
• Lead design decisions and promote engineering best practices across data and application development
• Mentor junior engineers and contribute to a culture of continuous improvement
• Document systems, processes, and methodologies for broader organizational use

Operational Expectations

• Maintain overlapping working hours with PST mornings for collaboration with global teams and stakeholders

#LI-Hybrid

Required Skills and Experience

• 5+ years of experience in analytics engineering, data engineering, or full-stack development
• Strong proficiency in SQL and advanced data modeling concepts
• Extensive experience with cloud data warehouses (Snowflake strongly preferred)
• Advanced Python programming skills with experience building data applications using Dash, Panel, or similar open-source frameworks
• Experience with RESTful API development using frameworks such as FastAPI or Flask
• Hands-on experience with dbt, Airflow, or similar data transformation and orchestration tools
• Experience with Git, CI/CD pipelines, and containerization (Docker)
• Strong analytical, problem-solving, and communication skills, with the ability to work across technical and non-technical stakeholders
• Significant experience in supply chain, logistics, manufacturing, or operations analytics environments

Preferred Qualifications

• Experience designing and scaling internal data products and self-service analytics solutions
• Familiarity with authentication, multi-user application setups, and deployment of Python-based web apps
• Exposure to visualization tools such as Tableau or Power BI
• Knowledge of supply chain processes such as demand planning, inventory optimization, procurement, and logistics analytics
• Experience with performance optimization in large-scale data environments
• Understanding of data governance, data quality frameworks, and enterprise data management best practices

Required Education and Training

• Minimum of a Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related 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.