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oracle

Senior Data Engineer

Mayo Clinic
Rochester, USA
Full-time
Senior · 5+ years experience
Onsite
Discovered 4 days ago
airflowazureazure-data-factorybigquerydbtgcp

Full Job Posting

Qualifications

  • A Bachelor's degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of five years of professional or research experience in data visualization, data engineering, analytical modeling techniques; OR an Associate’s degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of seven years of professional or research experience in data visualization, data engineering, analytical modeling techniques. In-depth business or practice knowledge will also be considered.
  • 5+ years of hands-on experience in analytics engineering, data engineering, or BI development
  • Expert-level SQL, including complex joins, window functions, CTEs, and performance tuning on large analytical datasets.
  • Proficiency in Python for data transformation and automation.
  • 2+ years of production experience with Google BigQuery (partitioning, clustering, cost/slot optimization, scheduled queries, authorized views)
  • Hands-on experience building and maintaining transformation pipelines with Dataform or dbt (modular SQL models, dependency management, testing, documentation, and scheduled runs) using Git-based source control and CI/CD for data assets.
  • Working knowledge of GCP services (IAM, Cloud Storage, Dataflow, Pub/Sub, Managed Airflow).
  • Experience building and maintaining Power BI reports and semantic models, including DAX, row-level security, and dataset refresh/gateway management, with governed, documented metric definitions that serve as a single source of truth for key KPIs
  • Demonstrated experience applying dimensional modeling, data warehousing concepts, and data quality practices.
  • Demonstrated ability to translate ambiguous analytic and reporting requests into well-defined data products
  • Experience leading technical design reviews or establishing engineering and reporting standards for a team.

Preferred Qualifications

  • Experience with a metrics or semantic layer tool (Looker/LookML, dbt Semantic Layer/MetricFlow, or Dataform-based metric definitions), including Looker Studio alongside Power BI
  • Exposure to identity, security, or compliance datasets and their governance requirements (PHI/PII handling, HIPAA, least-privilege access), or experience in healthcare or another regulated industry
  • Experience with NoSQL/document databases, particularly Azure Cosmos DB (partition key design, RU consumption, change feed)
  • Experience with data observability and testing frameworks (Great Expectations, Monte Carlo, or similar) beyond native Dataform/dbt tests
  • Hands-on experience with agentic AI workflows, MCP-based tool integrations, or building LLM-assisted data tooling
  • Familiarity with cross-cloud integration (Azure Data Factory, Synapse, or Microsoft Fabric) and infrastructure-as-code (Terraform) for GCP and Azure
  • Familiarity with Agile/SAFe delivery, Azure DevOps or Jira.
  • Certifications strongly encouraged
  • dbt Analytics Engineering Certification
  • Google Cloud Professional Data Engineer
  • Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
  • Microsoft Certified: Power BI Data Analyst Associate (PL-300)

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