Intuitive is looking to build a modern, scalable Data as a Service (DaaS) platform to power its Digital products and support over 2,000 engineers. This platform will enable high-throughput, low-latency data delivery through streaming pipelines, dynamic transformations, and APIs, driving discoverability, accessibility, and actionable insights. The goal is to define architecture and engineering practices for self-service analytics and operational decision-making at scale, replacing legacy processes with modern solutions for faster, more confident, and autonomous team operations.
Requirements
- Proficient in at least two major programming languages such as Python, Go, Scala, C++, or Java, with a strong understanding of software design and architecture
- Proven experience building data pipelines and working with distributed systems using technologies like Apache Spark, Kafka, Elasticsearch, Snowflake, and Airflow
- Hands-on experience with AWS, Docker, Kubernetes, Kafka, Elasticsearch, Apache Airflow, Snowflake, and Terraform
- Familiarity with CI/CD best practices for DataOps and deployment automation
Responsibilities
- Design and build scalable, distributed Data as a Service that ingest, process, and serve data from robotics, manufacturing, engineering, and clinical sources in real time and batch modes
- Develop and maintain robust APIs, data services, and tooling to provide internal teams with secure, efficient, and intuitive access to high-quality data
- Partner with engineering, analytics, and business stakeholders to evolve data contracts and models that support emerging use cases and ensure semantic consistency
- Implement CI/CD practices for data services, including automated testing for data quality, service reliability, and schema evolution
- Championing a self-service data culture by building discoverable, well-documented data products and guiding teams toward empowered, autonomous data access
- 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
Other
- Solid quantitative background in Computer Science, Engineering, Physics, Math, or 8–10+ years of hands-on experience in a technically demanding role
- Strong collaborator who actively contributes to code reviews, system design discussions, sprint planning, and KPI evaluations to drive team excellence and technical quality
- Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.
- Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.
