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# Data Engineer

- **Company:** Zulily
- **Location:** West Chester, PA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Microsoft Azure, Big Data, Code Review, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Database Design, Database Queries, Distributed Systems, Machine Learning, Microsoft SQL Server, Scrum Methodology, Software Engineering, Indexer, Data Lakes, Pyspark, Information Technology, Databricks
- **Published:** June 3, 2026
- **Apply:** https://qvc.wd5.myworkdayjobs.com/QRG/job/USA-PA-West-Chester/Data-Engineer_R82392

## About the Role

* 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.

## Description

* 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.


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