Senior Data Platform Engineer - Streaming Pipelines

Intuitive Surgical, Inc.; Santa Clara (CA); On-site; USD 160,000 - 271,000; Full time

Job summary

Intuitive Surgical, Inc. is seeking a Senior Software Engineer to design, build, and evolve a modern Data-as-a-Service platform supporting Digital products across the organization. You will deliver features in real-time and micro-batch data pipelines powering product development, tools, and analytics.

You will focus on high-throughput, low-latency data delivery through streaming pipelines and APIs, enabling AI/ML, self-service analytics, and operational decision-making at scale.

Qualifications

• Fluent coding in at least two major programming languages.
• Hands-on experience building data pipelines with distributed systems (Spark, Kafka).
• Experience with Data Platform components and design patterns (event-driven pipelines, queues, orchestration).
• Proficiency with cloud platforms (AWS, GCP).
• SQL and relational databases experience.

Responsibilities

• Design and build scalable distributed systems for data pipelines and APIs.
• Develop self-service APIs and applications for data access.
• Collaborate with core teams to evolve data models and architectures.
• Apply CI/CD, automated testing, and infra-as-code practices.
• Mentor junior engineers and lead moderately complex data projects.

Skills

Programming languages

Data pipelines

Distributed systems

Education

Bachelor's or Master's in CS/Engineering/IT

Tools

Apache Spark

Kafka

Elasticsearch

Snowflake

Airflow

Kubernetes

Postgres

DBT

AWS

GCP

Job description

Intuitive Surgical, Inc. is seeking a Senior Software Engineer to design, build, and evolve a modern Data-as-a-Service platform supporting Digital products across the organization. You will deliver features in real-time and micro-batch data pipelines powering product development, tools, and analytics.

You will focus on high-throughput, low-latency data delivery through streaming pipelines and APIs, enabling AI/ML, self-service analytics, and operational decision-making at scale.