Job description

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. Proven experience preferably in logistics; operations; or supply chain environments 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 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 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 TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. Salary Range: $86,000 - $113,000 a year #LI-NS4 </div

Requirements

Must-haves

We are looking for a Data Engineer with strong Kusto expertise to support the Circular Center / IDaRS application.
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)
Strong data skills + experience with Kusto (KQL), SQL and Excel.
Experience working with applications in a live environment (support + enhancement)
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
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

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlai

Platform: careers-page
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Parental Leave