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RadNet · 5 hours ago

Cloud Data Engineer

Rochester, NY

Full-time

Hybrid

Senior Level

5+ years exp

RadNet is a leading provider of radiology services, dedicated to improving patient care. The Cloud Data Engineer will own the development of cloud ELT pipelines, design data models, and optimize BigQuery while collaborating with BI and AI/ML teams to enhance data accessibility and quality.

Health CareHealth DiagnosticsHospitalMedical

Responsibilities

Own end-to-end development of cloud ELT pipelines — from CDC/API ingestion (Airbyte) and batch loads (Cloud Build/Composer) into BigQuery landing tables to dbt transformations that publish curated Silver/Gold datasets

Design and document Medallion-style models (Bronze → Silver → Gold) in dbt with clear naming, sources, exposures, and owners; maintain dbt project structure, packages, and environments

Implement data quality with dbt tests (generic/custom), freshness checks, and documentation (dbt docs); publish artifacts to the Analytics Hub/catalog for discoverability

Optimize BigQuery for dbt: partitioning, clustering, materializations (incremental/merge), cost controls (slots/quotas), job monitoring, and query performance tuning

Support streaming use cases by landing real time data via Pub/Sub with BigQuery subscriptions (or Dataflow/Beam where required) and shaping near real time models with dbt incremental strategies

Build orchestration and CI/CD for dbt using dbt Cloud or dbt Core (Cloud Build/Composer), with code review, automated tests, and artifact promotion across Dev/Test/Prod

Partner with BI and AI/ML teams to expose trusted datasets and features; publish contract backed schemas and semantic conventions aligned to enterprise KPIs

Migrate and reconcile legacy on prem pipelines (e.g., SQL Server CDC) into GCP; validate row level fidelity and handle late arriving and schema evolution scenarios

Implement security, privacy, and governance (IAM, CMEK, BQ row/object level security, HIPAA); contribute to auditable data lineage (dbt exposures + warehouse lineage)

Establish monitoring/alerting for pipeline reliability (Cloud Monitoring/Logging), with SLAs/SLOs, retries/backfills, and incident runbooks; participate in on call as needed

Qualification

GCP experiencePythonSQLBigQueryDbtDataflowPub/SubAirbyteData formatsMongoDB AtlasNeo4j AuraDBVector searchGraph analyticsHealthcare dataStructured work approachEffective communicationInterpersonal skills