Applied IntuitionSunnyvale, CABuilds and scales data infrastructure across the full lifecycle (collection, ingestion, storage, querying) using open-source technologies like Spark and Kafka. Supports cloud, hybrid, and on-prem deployments while collaborating across business units. Requires 3+ years experience and Bachelor's degree.
Design, build, and operate large-scale data pipelines that power Komodo's Healthcare Map and downstream analytics/AI use cases. Requires strong Python, SQL, Airflow, Spark, and AWS experience building production-grade systems.
Designs, implements, and scales foundational data pipelines processing massive healthcare datasets using Spark, Python, Rust, and SQL. Leads cross-functional initiatives, ensures data quality, and enables AI/ML workflows for production-grade data products.
Senior Data Platform Engineer building a streaming-first, domain-oriented data platform on Kafka, Iceberg, Databricks, and Snowflake to enable near real-time governed data access.
Senior data engineer building scalable data products, models, and governance processes. Focus on automation, performance optimization, and enabling self-serve analytics for a fast-growing SaaS company.
As a Software Engineer, Data Infrastructure, you will design and build resilient and scalable data systems for real-time data movement, processing, and storage. You will drive innovation in data ingestion, transformation, and delivery, enabling actionable insights across the company.