Data Engineer

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 Youll 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 Youll 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 Youll Bring

• Bachelors 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 247 production environments.

• Understanding of compliance regulations and data governance in tech environments.

#LI-AZ1

Our Total Rewards package includes benefits youll 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.

QVC Group is committed to inclusion and belonging for all and ensuring that our workplace provides equal employment opportunities for all team members and candidates and complies with all applicable federal state and local laws and regulations. As an equal opportunity employer QVC Group is committed to a barrier-free employment process. If you need reasonable accommodations/support throughout please contact us at for assistance.

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