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/resolution
- Handle site requests, incidents, and troubleshooting end-to-end
- Configure and support business rules / demand data, ensuring data quality and upkeep
- Perform UAT/testing and provide feedback to improve the application
- Use Kusto (KQL), SQL, Excel to analyze large datasets, run investigations, and resolve issues
- Apply 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 participation
- Ability to operate across data, application usage, and coordination with engineering
- Kusto-Specific Expectations: Perform deep investigations across large datasets
- Work with asset-level / part-level data and integrate across datasets
- Handle complex joins (e.g., 20+ property groups)
- Optimize queries for performance and memory usage
- Build repeatable queries / patterns for dashboards and troubleshooting
- Comfortable navigating large and complex data environments where Kusto is the primary data source
- Company 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