Senior Software Engineer - Data

Company Description

At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.

As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible.

Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves.

Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential.

Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care.

Job Description

Job Description

We're seeking a passionate Software Engineer to build and scale our modern Data as a Service (DaaS) solutions, powering Intuitive's digital products, data science research, and commercial teams' customer engagement programs. In this role, you'll own and evolve critical components of our micro-batch data pipelines, focusing on high-throughput, low-latency data delivery through streaming pipelines, dynamic transformations, and APIs.

Your work will drive application development, AI/ML, and actionable insights, while defining architecture and engineering practices that support self-service analytics and operational decision-making at scale. You will drive initiatives around how Data Science, Commercial, Ops and Product teams consume and interact with data, building robust, efficient systems that replace legacy processes and empower teams to move faster with greater confidence and autonomy.

Responsibilities:

• Design and build highly scalable distributed systems that leverage event-based and streaming data pipelines to handle ingestion, processing of customer provided clinical, financial and operational data and combining it with multiple sources of Intuitive internal data
• Enable users by providing self-service APIs and applications to access and interact with data
• Design and build scalable data models that meet growing product needs
• Work closely with Product Managers, Commercial team stakeholders, and Data Analysts to break down complex business requirements and translate them to implementable features including, and not limited to solutioning data retrieval processes from across multiple hospital data sources, data formats and data types, ingestion and processing.
• Work closely with core engineering teams to consistently evolve data models based on growing business needs
• Implement software development best practices such as CI/CD, automated testing, infrastructure-as-code, and microservice architectures
• Effectively participate in the team’s planning, code reviews, KPI reviews, and design discussions leading to continuous improvement in these areas.
• Provide guidance to other engineers and data team members, promoting a culture of knowledge sharing and continuous improvement
• Collaborate closely with QA Engineers to ensure product quality, reliability and compliance with standards throughout the development lifecycle
• Partner with Verification/Validation teams to ensure product releases processes are compliant with the guidance established
• Engage with Product Security, Data Privacy and DevOps to ensure product compliance with relevant standards and regulations

Qualifications

Skills, Characteristics, and Technology:

• Exceptional quantitative background (Computer Science, Math, Physics, and/or Engineering), or at 5+ years of industry experience in a quantitative role
• Fluent coding with at least two of the following: Python, JavaScript, NodeJS
• Working experience with FIHR/HL7 protocols (Healthcare data standards) and interoperability
• Proven experience building data pipelines and working with distributed systems using technologies like Apache Spark, Kafka, Elasticsearch, Snowflake, and Airflow
• Working experience with Data Platform components/design patterns:
  • Event-Driven