Job TitleResponsibilitiesBuild highly scalable distributed systems that leverage event-based and streaming data pipelines to handle ingestion and processing of robot, manufacturing, and clinical dataEnable users by providing self-service APIs and applications to access and interact with dataWork closely with core engineering teams to consistently evolve data models based on growing business needsApply software development best practices such as CI/CD, automated testing, infrastructure-as-code, and microservice architecturesEffectively participate in the team's planning, code reviews, KPI reviews, and design discussions leading to continuous improvement in these areas.Qualifications Skills, Characteristics, and TechnologyExceptional quantitative background (Computer Science, Math, Physics, and/or Engineering), or at least 5+ years of industry experience in a quantitative roleFluent coding with Python and JavaProven experience building data pipelines and working with distributed systems using technologies such as Kafka/Flink, Snowflake, AWS LambdasExcellent written and verbal communication skillsProven understanding of best engineering practices, such as unit testing and integration testing, and deployment patterns.Experience with KubernetesExperience with SQL and relational databasesAbility and enthusiasm to work collaboratively and cross-functionally, and take end-to-end ownership to deliver results for customersBonus points: Experience on a Platform teamExperience with Gitlab CI/CD or other CI toolingExperience with Apache IcebergExperience with Terraform and general IaC best practicesYou're familiar with CNCF projects and have successfully used them in the past