Data Engineer

Qurate Retail Group

Data Engineer supporting QVC's data pipeline and model development with an Agile team. Collaborating on data-driven decision-making and data architecture tasks while providing mentorship.

Posted 6/3/2026full-timeWest Chester • New Jersey, Pennsylvania • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AzureDistributed SystemsETLPySparkSQL

About the role

Key responsibilities & impact

Support QVC and collaborate with an Agile team to build data pipelines and models
Drive data-driven decision-making and personalization
Shape both back-end data structures and how insights are delivered
Design 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 for analytics 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 evolve our approach

Requirements

What you’ll need

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
Knowledge of modern data architecture, application landscapes, and CI/CD tools (e.g., Azure DevOps)
Experience in data warehouse design (e.g., slow changing dimensions, partitioning, indexing) and 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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringETLdatabase designSQLdata warehousingdata architecturemachine learningdata scienceAIdata modeling

Soft Skills

collaborationmentoringproblem-solvingcommunicationleadershiptechnical coachingdecision-makingcreativityadaptabilityteamwork

Certifications

Bachelor's degree in Computer Sciencedata engineering certifications