Tuesday, 24 February 2026

Data Engineer // Naperville, Chicago or Battle creek Michigan Onsite ECommerce exp is must


Data Engineer

Location: Naperville, Chicago or Battle creek Michigan Onsite

Location:- Naperville, Chicago  or Battle creek Michigan 

 

ECommerce exp is must 

 

JD

  • Deep expertise in end‑to‑end eCommerce sales operations, covering digital marketplaces, direct‑to‑consumer channels, and retail execution workflows.
  • Strong understanding of digital sales funnels, customer journey analytics, and conversion rate optimization (CRO) best practices.
  • Hands-on experience with SQL, Snowflake, DBT, AWS, and Power BI.
  • Experience supporting and enhancing omnichannel capabilities, ensuring seamless alignment across web, mobile, store, and fulfillment ecosystems.
  • Hands‑on experience with systems integration, including API development/consumption, middleware workflows, EDI processes, and cross‑platform data mapping.
  • Strong technical understanding of Order Management Systems (OMS), CRM tools, inventory management systems, and ERP integrations within retail and eCommerce environments.
  • Proficiency in SQL for data extraction, validation, reconciliation, and sales or operational performance analysis.
  • Advanced Microsoft Excel capabilities, including PivotTables, advanced formulas, Power Query, and financial/operational modeling.
  • Knowledge of Power BI, with some hands‑on development experience considered a strong plus..
  • Strong command of core digital commerce KPIs, with the ability to translate business metrics and trends into actionable technical insights and data-driven recommendations.
  • Proven experience performing detailed data validation, dataset reconciliation, and ensuring reporting accuracy across large-scale datasets.
  • Familiarity with cloud-native retail architectures and modern API-driven digital ecosystems used in enterprise commerce.
  • Experience working with major retail and syndicated datasets including NielsenIRI, and E2Open, with the ability to interpret, validate, cleanse, and leverage these datasets for business insights and operational alignment.

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