Senior Software Engineer - Data

Intuitive-posted 2 months ago
Sunnyvale, CA
Computer and Electronic Product Manufacturing
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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.

  • 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
  • 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 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)
  • Proven 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
  • Knowledgeable in data governance, data privacy laws, data retention, and compliance with standards such as GDPR and HIPAA.
  • Excellent communication abilities, capable of clearly articulating complex data concepts.
  • Experience with agile development methodologies.
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