Staff Software Engineer Data
Job Summary
Were looking for a Staff Software Engineer who is passionate about building a modern scalable Data as a Service (DaaS) platform that powers Intuitives Digital products and supports over 2000 engineers across the this role you will own and evolve critical components of our real-time and micro-batch data pipelines that power product development internal tools and analytics.
Your work will focus on enabling high-throughput low-latency data delivery through streaming pipelines dynamic transformations and APIs driving application development AI/ML and actionable insights. You will help define the architecture and engineering practices that support self-service analytics and operational decision-making on scale.
As a catalyst for change you will be at the forefront of reimagining how engineering teams consume and interact with data. Long-term success in this role means building robust efficient systems and replacing legacy processes with modern solutions that allow teams to move faster with greater confidence and autonomy.
Responsibilities:
- Build highly scalable distributed systems that leverage event-based and streaming data pipelines to handle ingestion and processing of robot manufacturing and clinical data
- Enable users by providing self-service APIs and applications to access and interact with data
- Work closely with core engineering teams to consistently evolve data models based on growing business needs
- Apply and evangelize software development best practices such as CI/CD automated testing infrastructure-as-code and microservice architectures
- Effectively participate in the teams planning code reviews KPI reviews and design discussions leading to continuous improvement in these areas.
- Act as a technical leader within the data domain driving best practices mentoring teammates and continuously improving how data is produced shared and consumed across the organization
Qualifications :
Skills Characteristics and Technology:
- Strong quantitative background (Computer Science Math Physics and/or Engineering) or at least 8-10 years of industry experience in a quantitative role
- Fluent coding with at least two of the following: Python Go Scala Java C
- Proven experience building data pipelines and working with distributed systems using technologies like Apache Spark Kafka Elasticsearch Snowflake and Airflow
- Deep technical knowledge & experience with Data Platform components/design patterns:
- Event-Driven Pipelines (e.g. AWS Lambda)
- Message Queues (e.g. Kafka)
- Container Orchestration (e.g. Kubernetes)
- Stream Processing (e.g. Flink Spark)
- Relational Databases (e.g. Postgres)
- Data Warehouses (e.g. Snowflake)
- Analytics Engineering (e.g. DBT)
- Workflow Orchestration (e.g. Airflow)
- Search Engines (e.g. Elasticsearch)
- Strong understanding of CI/CD workflows unit testing and integration testing and deployment patterns.
- Experience with AWS and/or GCP
- Experience with SQL and relational databases
- Ability and enthusiasm to work collaboratively and cross-functionally and take end-to-end ownership to deliver results for customers
Bonus points:
- Experience on a Platform team
- Experience with Gitlab CI/CD or other CI tooling
- Experience with Terraform Ansible Packer general IaC best practices
- You enjoyed the book Designing Data-Intensive Applications by Martin Kleppman
- Youre familiar with CNCF projects and have successfully used them in the past
About the Data Services Team:
We are responsible for building maintaining and enabling access to high-quality reliable and scalable data infrastructure and services. We are looking for strong technical leaders that want an opportunity to develop data products and foundational architecture that will shape the future of Intuitives application development analytics and AI/ML capabilities.
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
About Company
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 pioneer and leading company in the field of robotic-assi ... View more