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# Clinical Data Engineering Lead

- **Company:** American IT Systems
- **Location:** Rochester, MN, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Software Quality, Continuous Integration, Data Cleansing, Information Engineering, Data Flow Control, Oracle (Applications), Google Cloud
- **Published:** August 16, 2026
- **Apply:** https://www.dice.com/job-detail/385f49ef-87b0-4a2e-8842-51abf7a4235b

## About the Role

8+ years in data engineering, hands-on with Google Cloud Platform and DataFlow (or equivalent).

 * Large-scale batch, incremental and event-driven pipeline experience.
 * Experience feeding and reconciling MDM/RDM data.
 * Strong on operationalisation: monitoring, replay, CI/CD.

## Description

Own data-engineering delivery on Google Cloud Platform/DataFlow, including ingestion, transformation, standardisation, reconciliation, publication and operational engineering standards., Define reusable DataFlow/Google Cloud Platform ingestion and transformation patterns.

 * Implement source ingestion from Epic, ELMS, Oracle, terminology and other approved sources.
 * Build raw/source-preserving, standardised/cleansed and curated/mastered processing layers.
 * Implement standardisation, validation, transformation and reference-data enrichment.
 * Build reconciliation controls between source, MDM/RDM and downstream publication.
 * Build publication pipelines to Google Cloud Platform data products, APIs, events and tables/files.
 * Implement replay, restart, idempotency, audit and monitoring; optimise performance and cost.
 * Establish CI/CD, code quality and production support procedures.

Primary Deliverables

 * Data engineering architecture / design
 * Ingestion and transformation pipelines
 * Reconciliation framework
 * Publication pipelines
 * Operational monitoring and runbooks
 * CI/CD and engineering standards


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