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Data Engineer

Job in Coeur d Alene, Kootenai County, Idaho, 83814, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-14
Job specializations:
  • IT/Tech
    Data Engineering, Azure, Data Warehousing
Salary/Wage Range or Industry Benchmark: 120000 - 170000 USD Yearly USD 120000.00 170000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Design and implement lake house architectures utilizing Azure Databricks, Delta Lake, Azure Data Lake Storage Gen2, Unity Catalog, and related modern data platform technologies
  • Develop canonical enterprise data models, business entity mappings, master data structures, and reusable data products supporting enterprise reporting, analytics, automation, and AI initiatives
  • Build and maintain bronze, silver, and gold data layers supporting governed, trusted, and AI-ready datasets
  • Develop and maintain metadata, data dictionaries, business glossaries, lineage documentation, and data catalog integrations supporting enterprise data governance
  • Design, develop, and maintain ETL pipelines for structured and unstructured data across cloud and on-prem environments
Requirements
  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field required
  • 5+ years of experience in Data Engineering, Analytics Engineering, Data Platform Engineering, ETL development, and Cloud Data Architecture required
  • Experience designing and implementing modern lake house architectures using Azure Databricks, Delta Lake, Azure Data Lake Storage Gen2, and related cloud-native data services required
  • Proven experience with SQL, ETL tools, and CI/CD pipelines
  • Hands‑on experience with AWS and Azure data services and infrastructure
  • Familiarity with data governance, compliance frameworks (HIPAA, SOC
    2), and secure data handling practices
Hard Skills
  • Azure Databricks
  • Delta Lake
  • Azure Data Lake Storage Gen2
  • ETL development
  • SQL
  • CI/CD pipelines
  • data modeling
  • data governance
  • data catalog integrations
  • data architecture
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