Clarium Staff Data Engineer at Clarium responsible for setting technical direction for the data platform and owning data pipelines. Design and operate reliable batch and near-real-time pipelines on AWS.
Responsibilities
This is a staff-level individual contributor role for an engineer who sets technical direction for our data platform rather than working ticket to ticket. You'll decide how data gets modeled, moved, and trusted across Clarium, and you'll leave both the systems and the engineers around you measurably better.
You'll work across our transactional databases and analytical warehouse, own the pipelines that connect them, and partner directly with the analytics, product, and engineering teams who depend on that data. Much of the work is supply chain data arriving from hospital ERP systems, where schemas and semantics vary by source and are rarely well documented, so a large part of the job is deciding what should be built, not only building it.
Own the architecture and technical roadmap for core data infrastructure on AWS, spanning ingestion, transformation, storage, and serving layers
Design, build, and operate reliable batch and near-real-time pipelines with clear SLAs and the observability to back them up
Model supply chain data from external ERP systems into a coherent, reusable warehouse model, and lead the migration of legacy assets toward it
Tune performance and cost across Postgres and Snowflake, including query plans, indexing, partitioning, warehouse sizing, and storage strategy
Establish engineering standards for data work (testing, code review, CI/CD, data quality checks, documentation) and mentor engineers through design reviews, pairing, and honest technical feedback
Partner with analytics, product, and engineering teams to turn ambiguous questions into durable data models instead of ad hoc extracts
Lead governance for sensitive data, including lineage, access controls, retention, auditability, and de-identification where required
What You'll Bring
8+ years of data or software engineering experience, including significant time owning systems end to end in production
Expert-level SQL: you write complex analytical queries as a matter of course and can read a query plan and explain why something is slow
Qualification
Expert-level SQLStrong Python for production data workExperience with healthcare data (claimsSkills & Tools You'll UseNeed to KnowNice to KnowWhat You Get at Clarium
Required
8+ years of data or software engineering experience
Significant time owning systems end to end in production
Expert-level SQL
Strong Python for production data work
Preferred
Experience with healthcare data (claims, EHR/EMR, HL7 or FHIR, ICD-10, CPT) or working under HIPAA with PHI, de-identification, and audit requirements
Familiarity with supply chain data from ERP systems such as Oracle, Workday, or Lawson, including where it tends to be unreliable
Infrastructure-as-code and deployment automation (Terraform, CDK, CI/CD for data infrastructure)
Streaming and event-driven architectures, or data quality and observability tooling
Skills & Tools You'll Use
Need to Know: SQL · Python · Postgres · Snowflake · AWS (S3, RDS, Lambda, ECS)
