Senior Analytics Engineer – Data Applications at Intuitive

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

14 Oct, 26

Salary

0.0

Posted On

16 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Snowflake, dbt, Plotly Dash, FastAPI, Airflow, Docker, REST APIs, Data Modeling, Full Stack Development, CI/CD, Spark, Git, Supply Chain Analytics, Data Engineering

Industry

Medical Equipment Manufacturing

Description

Company Description 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. Job Description 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 10+years of overall experience and 5+ years of relevant 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 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 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. Shift: Day Ways of Working: Set Schedule - This job will be onsite weekly, the percentage of onsite work will be defined by the leader. Employee Type: Employee Global Job Level (HCM): Professional 4 (11)

Responsibilities

Design and develop interactive, data-driven web applications and scalable data pipelines to support supply chain and operations. Partner with stakeholders to translate business requirements into technical solutions and mentor junior engineers.