Data Platform Engineer – Real-time Pipelines

Intuitive Surgical, Inc.; San Fernando (CA); On-site; USD 130,000 - 221,000; Full time

Job summary

Intuitive Surgical, Inc. is seeking a Software Engineer to build a modern, scalable Data as a Service (DaaS) platform that powers Digital products and supports over 2,000 engineers across the organization.

You will own and evolve critical data pipelines, enabling high-throughput, low-latency data delivery through streaming and batch processing. Your work will define architecture and practices for self-service analytics, operational decision-making, and scalable data access, collaborating with

Qualifications

• Bachelor's or master's degree in computer science or related field.
• Experience building data pipelines with distributed systems.
• Proven experience in programming and data services.

Responsibilities

• Design and build scalable, distributed Data as a Service that ingests, processes, and serves data in real time and batch modes.
• Develop and maintain robust APIs and data services for internal teams.
• Collaborate with stakeholders to evolve data contracts and models.
• Implement CI/CD practices for data services with automated testing.
• Champion self-service data culture with well-documented data products.
• Lead technically within the data domain, mentoring teammates.

Skills

Python

Go

Scala

C++

Java

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Apache Spark

Kafka

Elasticsearch

Snowflake

Airflow

AWS

Docker

Kubernetes

Terraform

Job description

Intuitive Surgical, Inc. is seeking a Software Engineer to build a modern, scalable Data as a Service (DaaS) platform that powers Digital products and supports over 2,000 engineers across the organization.

You will own and evolve critical data pipelines, enabling high-throughput, low-latency data delivery through streaming and batch processing. Your work will define architecture and practices for self-service analytics, operational decision-making, and scalable data access, collaborating with