Data Engineer, eCommerce, Customer Experience

Posted 17hrs ago

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Job Description

Junior Data Engineer building cloud-based data pipelines and integrations for eCommerce and customer experience. Supporting analytics-ready datasets, data quality, and enterprise data platforms across the U.S.

Responsibilities:

  • Assist in building, maintaining, and optimizing batch and real-time data pipelines
  • Develop and support data integrations between ERP, CRM, PIM, OMS, WMS, eCommerce, and third-party systems
  • Write, test, and maintain SQL, Python, and data transformation code
  • Support the development of analytics-ready datasets and data products used across the business
  • Participate in data modeling efforts supporting customer, product, pricing, inventory, sales, and operational reporting needs
  • Assist with API integrations and data exchange processes across enterprise platforms

Requirements:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related field required
  • 3-5 years of experience in Data Engineering, Analytics Engineering, Software Development, Business Intelligence, or related technical disciplines
  • Professional experience working with data pipelines, databases, or analytics solutions preferred
  • Foundational knowledge of SQL and relational database concepts
  • Experience or familiarity with Python or another modern programming language
  • Familiarity with ETL/ELT concepts, data integration, and data transformation processes
  • Exposure to cloud platforms such as AWS, Azure, or Google Cloud preferred
  • Basic understanding of data warehousing, data modeling, and analytics concepts
  • Familiarity with Git, version control, and software development best practices
  • Strong analytical and problem-solving skills with attention to detail
  • Excellent communication skills and ability to work collaboratively across technical and business teams
  • Eagerness to learn new technologies and develop expertise in modern data engineering practices
  • Interest in supporting advanced analytics, machine learning, AI, and digital commerce initiatives