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Data Engineering (DE) Lead

Full-time

American IT Systems

Data Engineering (DE) Lead

Location: Rochester, Minnesota(Open for Remote).

Role Family

Data Engineering

Experience

8+ years

Platform Focus

GCP DataFlow

Role Description

Own data-engineering delivery on GCP/DataFlow, including ingestion, transformation, standardisation, reconciliation, publication and operational engineering standards.

Key Responsibilities

Define reusable DataFlow/GCP 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 GCP 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

Required Experience & Skills

  • 8+ years in data engineering, hands-on with GCP 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.

Good to Have

  • BigQuery, Pub/Sub and Dataflow depth.
  • Healthcare data engineering.
  • Integration with Informatica MDM loads.
Vacancy posted 1 day ago
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