Responsibilities

Artificial Intelligence; Advanced Technology; The very best in patient care. With decades of expertise, RadNet is Leading Radiology Forward. With dynamic cross-training and advancement opportunities in a team-focused environment, the core of RadNet’s success is its people with the commitment to a better healthcare experience. When you join RadNet as a Cloud Data Engineer, you will be joining a dedicated team of professionals who deliver quality, value, and access in the 21^st century and align all stakeholders- patients, providers, payors, and regulators to achieve the best clinical outcomes.

You Will:

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.

If You Are:

Passionate about patient care and exercise sound judgement and an ability to remain professional in all situations.
You demonstrate effective and professional communication, interpersonal skills and respect with patients, guests & colleagues.
You have a structured work-approach, understand complex problems and you are able to prioritize work in a fast-paced environment.

To Ensure Success in This Role, You Must Have:

5+ years in data engineering with GCP experience.
Strong Python and SQL.
Hands-on with BigQuery, Dataflow, Pub/Sub, and Dataproc.
Experience with dbt/Airflow/Composer for orchestration.
Experience integrating APIs and SaaS sources using Airbyte.
Knowledge of data formats (Parquet, Avro, JSON, Delta Lake).
Experience with MongoDB Atlas or Neo4j AuraDB preferred.
Familiarity with vector search or graph analytics preferred.
Healthcare data experience (HL7, FHIR) preferred.

We Offer:

Comprehensive Medical, Dental and Vision coverages.
Health Savings Accounts with employer funding.
Wellness dollars
401(k) Employer Match
Free services at any of our imaging centers for you and your immediate family.

Pay Range: $90,000.00 – $125,000.00 per year

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