Staff Data Engineer
Core
Design, build, and support a near real-time transactional cache platform enabling APIs and digital experiences to consume operational data outside legacy UniVerse environments.
Role type
Staff Data Engineer (Technical Lead)
Builds
Near real-time transactional cache ecosystem, CDC pipelines, optimized MongoDB document models, and PostgreSQL data stores.
Domain
Healthcare technology, Cloud-native data engineering, Operational data platforms
Required skills
Change Data Capture (CDC), PostgreSQL, MongoDB, Python, SQL, Unix/Linux, UniVerse/UniData, Distributed systems architecture, Performance optimization, Technical leadership
Preferred skills
GCP services (Cloud SQL, Dataproc, Airflow), Kubernetes/GKE, Terraform, Event-driven architecture (Kafka/Pub/Sub), Agile/SAFe
Technologies
UniVerse, PostgreSQL, MongoDB Atlas, GCP, Kafka, Terraform, Kubernetes
Responsibilities
Lead design and implementation of near real-time transactional cache platform; Design and support CDC pipelines replicating data from UniVerse to PostgreSQL; Develop transformation pipelines converting relational data to MongoDB structures; Optimize PostgreSQL and MongoDB performance via schema design and query tuning; Own platform reliability, observability, and incident response; Provide technical leadership, mentor engineers, and establish engineering standards.
Seniority
Staff, Technical Lead & Mentorship