Data Engineer at CVS Health optimizing data pipelines and analytical models. Driving data - driven decisions with healthcare data for improved business outcomes.
About the role
- Data Engineer building high-quality data pipelines and analytics for QVC's social commerce platform. Collaborating with Agile teams to extract insights and enhance data-driven applications.
Responsibilities
- Design and maintain 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 and processes for analytic 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 continuously 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
- Understanding of modern data architecture, application landscapes, and CI/CD automation tools such as Azure DevOps
- Experience in data warehouse design techniques (slow changing dimensions, partitioning, indexing) and applying 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
Benefits
- competitive compensation
- paid time off
- employee assistance program
- parental leave
- paid volunteer hours
- amazing company discounts
- health care benefits starting on day 1
- 401(k)
- tuition reimbursement benefits
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