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Data Engineer (Kusto)

iPeople Infosystems LLCBellevue, WA🇺🇸United StatesPosted 23 Jul 2026

Why This Role Stands Out

Advance your career as a Data Engineer with a hybrid work model, where you'll leverage your Kusto and SQL expertise to directly impact a critical application and collaborate closely with a high-impact team. You'll thrive in this role if you possess strong analytical skills and a proactive, solution-oriented mindset, which will be instrumental in driving data-driven insights and application improvements.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Description
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

Skills

SQL

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