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Data Engineer

Job in South Naperville Area, Will County, Illinois, 60564, USA
Listing for: Programmers.io
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

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 Pivot Tables, 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 Nielsen
    , IRI
    , and E2

    Open

    , with the ability to interpret, validate, cleanse, and leverage these datasets for business insights and operational alignment.
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