Data Engineer, Analytics

Data Engineer (Kusto)Location: Bellevue, WA (Onsite) Duration: 6 months Pay Range: $50 - $52/Hour on W2/C2C (All inclusive)We are looking for a Data Engineer with strong Kusto expertise to support the Circular Center / IDaRS application. This role operates in a small, high-impact team with broad responsibilities, requiring a mix of data work, application support, and close collaboration with engineering and operations teams.Key Responsibilities:Own and work hands-on with the IDaRS / Circular Center application (as user + functional owner)Partner with engineering to support feature roadmap, development, and bug tracking/resolutionHandle site requests, incidents, and troubleshooting end-to-endConfigure and support business rules / demand data, ensuring data quality and upkeepPerform UAT/testing and provide feedback to improve the applicationUse Kusto (KQL), SQL, Excel to analyze large datasets, run investigations, and resolve issuesApply a data-driven, analytical mindset (deep dives, hypothesis testing, root cause analysis)Demonstrate curiosity, ownership, and a solution-oriented approach (proactively find and fix issues)Key Skills:Strong data skills + experience with Kusto (KQL), SQL and Excel.Experience working with applications in a live environment (support + enhancement)Familiarity with: bug tracking / issue management, incident handling / user support, testing / UAT participationAbility to operate across data, application usage, and coordination with engineeringKusto-Specific Expectations:Perform deep investigations across large datasetsWork with asset-level / part-level data and integrate across datasetsHandle complex joins (e.g., 20+ property groups)Optimize queries for performance and memory usageBuild repeatable queries / patterns for dashboards and troubleshootingComfortable navigating large and complex data environments where Kusto is the primary data sourceCompany Benefits & Culture:Opportunity to work with a dynamic team in a fast-paced environment Exposure to cutting-edge technologies and methodologies Supportive and collaborative work culture