DataEngineer

Dashlabs.ai (YC W21) is a healthcare operations platform that integrates Electronic Medical Records (EMR), Laboratory Information Systems (LIS), and Radiology Information Systems (RIS) into a unified ecosystem. Built for diagnostic laboratories, imaging centers, clinics, and hospitals, Dashlabs.ai serves as the operational backbone for diagnostic providers across the Philippines and is expanding its footprint into Indonesia and Malaysia. We build robust, scalable infrastructure to streamline healthcare workflows, optimize diagnostics, and improve patient outcomes. Role Overview As a Data Engineer, you will design, build, and optimize the data infrastructure that powers our reporting, analytics, and business intelligence capabilities. You will manage data synchronization across disparate database paradigms, enable stakeholders through modern BI tools, and play a critical role in safeguarding our core production databases from intensive analytical workloads and unauthorized data extraction. This role requires a strong engineering background with a deep understanding of the MERN stack, particularly TypeScript, alongside robust database administration, data warehousing, and ETL/ELT pipeline expertise. Key Responsibilities 1. Data Pipeline Engineering & ELT * Design, implement, and maintain scalable data pipelines to replicate and transform operational data from a production MongoDB environment into Google BigQuery for analytics and data warehousing. * Ensure data consistency, integrity, and low-latency synchronization between NoSQL documents and BigQuery's columnar storage structures. * Optimize BigQuery storage, partitioning, clustering, and query performance to minimize operational costs and speed up retrieval times. 2. Analytics & Business Intelligence Infrastructure * Own the onboarding, access management, and data enablement pipeline for users on Looker Studio , ensuring seamless integration with BigQuery datasets. * Construct and maintain semantic layers, optimize