Job Summary:
The Data & AI Engineer will be responsible for designing, building, and optimizing scalable data pipelines and AI-ready data platforms. This role focuses on enterprise-scale data engineering, strong data modeling practices, and cloud-based analytics to support advanced AI and business intelligence use cases.
Location:
Bellevue, WA
Experience:
Minimum 6+ Years of hands-on experience in Data Engineering roles
Key Responsibilities:
• Design, build, and maintain scalable data pipelines and data platforms
• Develop and enforce data modeling standards and best practices
• Deliver enterprise-grade big data solutions with global scale and high availability
• Work with cross-functional teams including analytics, AI, and business stakeholders
• Optimize data workflows for performance, reliability, and cost efficiency
• Support AI/ML, analytics, and reporting use cases using cloud-native data platforms
• Ensure data quality, governance, and security compliance
• Troubleshoot data issues and continuously improve data architecture
Required Skills & Experience:
• 6+ years of experience in Data Engineering
• Strong expertise in SQL and Python
• Solid experience with cloud data platforms (Azure preferred)
• Strong knowledge of data modeling concepts and best practices
• Proven experience delivering big data projects in large enterprise environments
• Experience working with high-volume, consumer-facing or digital data
Competencies:
• Data Engineering
• Big Data Architecture
• Data Modeling & Governance
• Cloud Data Platforms
• AI & Analytics Enablement
Preferred Skills:
• Experience in eCommerce, digital marketing, or consumer-facing applications
• Familiarity with AI/ML data preparation and feature engineering
• Exposure to Azure services (ADF, Synapse, Databricks, ADLS)
• Knowledge of data governance and metadata tools
