
Senior Data Engineer, Customer Engineering at Claritas Rx
Unify patient journey data with AI to improve access.
Build and own customer-facing data engineering initiatives for a healthcare SaaS platform serving biotech/pharma; reports to Head of Customer Engineering; responsible for data architecture, logical database/taxonomy design, storage and capacity planning, external data interfaces, data loading/maintenance/security plans, and platform integration with client environments; leads technical requirements gathering and helps set design standards and assurance processes for data flows and storage; develops secure production code, reviews/debugs others' code, oversees live SaaS operations, and designs multi-tenant systems with isolation and security; partners closely with Implementation, Product Management, Architects, technical leads, and lead/principal engineers across cross-functional teams; must: expertise in data architecture/BI systems, ELT, data transformation/modeling, report/dashboard development, 10+ years professional software engineering experience, Python/Java, relational database design and SQL, ETL/metadata/workflow concepts, BS in CS/engineering or related, Agile, enterprise software and SaaS release experience; bonus: AWS, healthcare, HIPAA/SOC/HITRUST familiarity; occasional travel
Remote US only; primarily remote with occasional travel







