Hybrid Data Engineer – Social Commerce

Posted 2 months ago

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About the role

  • Data Engineer building high-quality data pipelines and analytics for QVC's social commerce platform. Collaborating with Agile teams to extract insights and enhance data-driven applications.

Responsibilities

  • Design and maintain data architecture, models, APIs, and pipelines aligned with data architecture principles and team goals
  • Solve complex data challenges to deliver insights that drive outcomes
  • Create data products for analytics and data science teams to improve their productivity and insights
  • Lead the evaluation, implementation, and deployment of new tools and processes for analytic data engineering
  • Develop and deliver plans on analytic data engineering capabilities and standards
  • Partner with product teams and solution architects to develop scalable, reliable technical architectures
  • Mentor peers through code reviews, collaboration, and technical coaching
  • Explore and learn about machine learning, data science, AI, and personalization technologies to continuously evolve our approach

Requirements

  • Bachelor's degree in Computer Science or related field, or equivalent experience
  • 4+ years of software development and design experience with emphasis on data warehousing, ETL, and database design
  • Experience developing data engineering processes and SQL proficiency
  • Experience using Azure tools (Databricks, Data Factory, Delta Lake, Synapse, ADLS, PySpark, SQL Server, Databricks Notebooks)
  • Experience transforming, cleansing, and ensuring quality of large-scale data sets
  • Understanding of modern data architecture, application landscapes, and CI/CD automation tools such as Azure DevOps
  • Experience in data warehouse design techniques (slow changing dimensions, partitioning, indexing) and applying AI-driven personalization models
  • Familiarity with Agile (Scrum), distributed systems, and 24×7 production environments
  • Understanding of compliance, regulations, and data governance in tech environments

Benefits

  • competitive compensation
  • paid time off
  • employee assistance program
  • parental leave
  • paid volunteer hours
  • amazing company discounts
  • health care benefits starting on day 1
  • 401(k)
  • tuition reimbursement benefits

Job title

Data Engineer – Social Commerce

Job type

Experience level

Mid levelSenior

Salary

$93,000 - $167,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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