Data Engineer (Kusto)

Job Title: Data Engineer (Kusto)

Location: Bellevue, WA (Onsite)

Fulltime

Salary: $110K/Annum

Must Have Technical/Functional Skills

SQL; KQL; Kusto, Proven experience preferably in logistics; operations; or supply chain environments, SQL; KQL; Circular centers; Strong analytical skills; Excel; PBI

Roles \& Responsibilities

Summary

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:

o Bug tracking / issue management

o Incident handling / user support

o Testing / UAT participation

• Ability to operate across data, application usage, and coordination with engineering

Generic Managerial Skills:

Nice to have:

• Exposure to: AI / Copilot-based solutions, Power Automate (especially as you grow into SME ownership)

• Understanding of hardware components (e.g., network line cards)

• Experience working with large-scale internal platforms or tools

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 t he primary data source