Data Engineer

Working at QVC Group means joining a live social shopping company with incredible teams, ambitious projects and amazing careers. QVC Group, Inc. is a Fortune 500 company with six leading retail brands - QVC®, HSN®, Ballard Designs®, Frontgate®, Garnet Hill® and Grandin Road.

Your Opportunity, Your Team

The Data Engineer supports QVC and will collaborate with an Agile team to build data pipelines and models, exposing analytics through APIs and dashboards. Your work will drive data-driven decision-making and personalization, while shaping both back-end data structures and how insights are delivered.

Where You'll Work

This role is hybrid and will require you to be onsite in West Chester, PA several days per month (onsite days are predetermined and standard across the company). Job seekers must reside in one of the following states to be considered: PA, NJ, DE. Relocation assistance is not available for this role.

What You'll Do

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.

What You'll Bring

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.

#LI-AZ1

Our Total Rewards package includes benefits you’ll love such as competitive compensation, paid time off, an employee assistance program, parental leave, paid volunteer hours, and amazing company discounts! In our US market, you can also expect health care benefits starting on day 1, 401(k), and tuition reimbursement benefits.

If provided, salary ranges are a general guideline only, and actual salaries will vary and are based on factors such as a candidate's qualifications, skills, experience, and geographic location as well as business and market conditions.