Senior Data Warehouse Engineer — ETL & Cloud Platforms

QVC, Inc.; Pennsylvania; Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health care benefits day 1

401(k)

Tuition reimbursement

Job summary

QVC Group, Inc. is seeking a Senior Software Engineer for the Enterprise Data Warehouse to build and support enterprise data integrations powering internal systems.

You will join the Enterprise Data Management team to develop ETL workflows and collaborate with global teams to provide reliable, scalable data solutions. The role supports a remote work model with on-site options in PA/NJ/DE as needed, and requires strong experience in data warehousing, ETL, and cloud data tools.

Qualifications

• Bachelor’s degree in Computer Science or related field, or equivalent experience.
• 5+ years of software development experience with data warehousing, ETL, and large-scale data processing.
• Hands-on ETL with major RDBMS platforms and SQL; experience with Azure data tools.

Responsibilities

• Provide technical leadership and mentor junior staff.
• Collaborate with Scrum Master to plan sprint sequences and deliver design artifacts.
• Coordinate with architecture teams to align solutions with enterprise architecture.
• Independently develop, configure, code, and test programs of varying complexity.
• Apply industry trends and collaborate to implement suitable practices.
• Ensure scalable, highly available, performant, and secure implementations.
• Estimate work effort for projects and features.
• Escalate delays, issues, risks to project managers.

Skills

Data warehousing

ETL

SQL

Azure Databricks

Delta Lake

Azure Data Factory

Azure Synapse

CI/CD

Agile/Scrum

BI tools

Education

Bachelor’s degree in Computer Science or related field

Tools

Jira

Confluence

Source code management tools

Job description

QVC Group, Inc. is seeking a Senior Software Engineer for the Enterprise Data Warehouse to build and support enterprise data integrations powering internal systems.

You will join the Enterprise Data Management team to develop ETL workflows and collaborate with global teams to provide reliable, scalable data solutions. The role supports a remote work model with on-site options in PA/NJ/DE as needed, and requires strong experience in data warehousing, ETL, and cloud data tools.