Data Engineer

About the role

The Data Engineer supports QVC and collaborates with an Agile team to build data pipelines and models, exposing analytics through APIs and dashboards. The role drives data-driven decision-making and personalization, shaping back-end data structures and insights delivery.

Responsibilities

• 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

• 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.

Qualifications

• Relocation assistance is not available for this role.
• Must reside in one of the following states: PA, NJ, DE.

Skills

• Software development and design experience with emphasis on data warehousing, ETL, and database design.
• Experience using Azure tools (Databricks, Data Factory, Delta Lake, Synapse, ADLS, PySpark, SQL Server, Databricks Notebooks).
• 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.

Benefits

Our Total Rewards package includes 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.

Pay

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.

Schedule

This role is remote; job seekers must reside in one of the following states to be considered: PA, NJ, DE.