Compunnel Inc.

Compunnel Inc.

Data Engineer

Olympia, Washington, USA · Contract

Sponsorship not specifiedDetected 47 days ago
PythonSQLAzureCI/CDDevOpsPandasdbtData AnalysisData EngineeringData VisualizationCommunication

About the role

  • JOB SUMMARY Support a Washington State agency implementing a modern analytics platform using Microsoft Fabric, Azure Data Services, and Power BI. This role focuses on data quality, validation, and testing activities to ensure analytics outputs are accurate, reliable, and aligned with business requirements. Key Responsibilities Execute data validation and
  • testing aligned to data quality dimensions including completeness, accuracy, consistency, timeliness, uniqueness, and validity. Write SQL queries to validate transformations, aggregations, and business rules. Perform source to target reconciliation across bronze, silver, and gold data layers. Support validation of pipelines and data assets in Azure Data

Responsibilities

  • Write SQL queries to validate transformations, aggregations, and business rules.
  • Perform source to target reconciliation across bronze, silver, and gold data layers.
  • Support validation of pipelines and data assets in Azure Data Factory, Azure Synapse, Azure SQL, and Microsoft Fabric.
  • Validate Power BI datasets, measures, and reports against source data and defined KPIs.
  • Develop and run automated data validation scripts using Python, pandas, and PySpark.
  • Document test results, defects, and supporting evidence in Azure DevOps.
  • Support a Washington State agency implementing a modern analytics platform using Microsoft Fabric, Azure Data Services, and Power BI.

Requirements

  • Experience with Azure data platforms such as Azure Data Factory, Azure Synapse, or Azure SQL.
  • Experience validating Power BI datasets and reports.
  • Python experience for data analysis or validation.
  • Bachelors Degree

Nice to have

  • Exposure to Microsoft Fabric including lakehouses, warehouses, and OneLake.
  • Experience with Great Expectations or dbt tests.
  • Azure DevOps CI/CD exposure.
  • Experience with Azure Data Lake Storage Gen2.
  • Experience in public sector or regulated data environments.
  • Certifications None specified.
  • This role focuses on data quality, validation, and testing activities to ensure analytics outputs are accurate, reliable, and aligned with business requirements.
  • Execute data validation and testing aligned to data quality dimensions including completeness, accuracy, consistency, timeliness, uniqueness, and validity.

This listing is sourced directly from Compunnel Inc.'s careers page and normalized into a canonical job model.