The Data Engineer supports QVC and collaborates 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.
Requirements
- 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.
Benefits
- Competitive compensation
- Paid time off
- Employee assistance program
- Parental leave
- Paid volunteer hours
- Company discounts
- Health care benefits
- 401(k)
- Tuition reimbursement
