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

Qualifications :

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 Bachelors or Masters degree in Computer Science Information Technology Engineering or a related field

Additional Information :

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 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. 

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

Remote Work :

No

Employment Type :

Full-time