Data & AI Engineer

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