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Data Engineer (Kusto)

Purple Drive


Job Location:

Bellevue, WA - USA

Monthly Salary: Not provided by the employer
Posted: 16 July 2026 (30+ days ago)
Application Deadline: 13 October 2026
Vacancies: 1 Vacancy

Job Summary

Essential Skills
  • Strong experience with Kusto (KQL) SQL and Kusto Query Language.
  • Strong analytical skills with experience performing deep data investigations and root cause analysis.
  • Advanced proficiency in Excel and Power BI.
  • Experience working in logistics operations or supply chain environments.
  • Experience supporting applications in live production environments.
  • Experience with bug tracking incident management user support and UAT testing.
  • Ability to work with large and complex datasets including asset-level and part-level data.
  • Experience performing complex joins and optimizing Kusto queries for performance and memory usage.
  • Experience building reusable query patterns for dashboards and troubleshooting.
  • Ability to collaborate with engineering and operations teams.
  • Strong problem-solving ownership and communication skills.
Desirable Skills
  • Exposure to AI Copilot-based solutions.
  • Experience with Power Automate.
  • Understanding of hardware components (e.g. network line cards).
  • Experience working with large-scale enterprise platforms and internal tools.
Roles & Responsibilities
  • Own and support the IDaRS Circular Center application as the functional owner.
  • Collaborate with engineering teams on feature development roadmap planning and bug resolution.
  • Handle site requests incidents and end-to-end troubleshooting.
  • Configure and maintain business rules and demand data while ensuring data quality.
  • Perform UAT testing and provide feedback to improve application functionality.
  • Analyze large datasets using Kusto (KQL) SQL and Excel to investigate and resolve issues.
  • Perform deep data analysis hypothesis testing and root cause investigations.
  • Work with asset-level and part-level data across multiple datasets.
  • Develop and optimize Kusto queries for performance and scalability.
  • Build reusable query patterns to support dashboards and troubleshooting.
  • Coordinate with engineering and operations teams to support application enhancements and continuous improvement.