Data Engineer

This role is based in Redmond, WA, with a full-time employment type and requires in-office work 3 days a week.

Compensation:

The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year.

Responsibilities:

• Build and optimize data pipelines, models, and storage solutions using technologies like SQL, Azure Synapse, Fabric, Data Factory, and GenAI.
• Align discrete tasks into complete technical solutions for data ingestion, transformation, and provisioning.
• Collaborate with PMs, software engineers, and business stakeholders to deliver secure, scalable, and efficient data solutions.
• Implement unit and integration testing, CI/CD pipelines, and ensure compliance with security and privacy standards.
• Review module/feature issues, identify opportunities for optimization, and proactively resolve problems.
• Create design documents, data models, and operational runbooks for maintainability.

Qualifications:

• Master's Degree in a relevant field and 1+ years of experience, or Bachelor's Degree and 2+ years of experience in business analytics, data science, software development, data modeling, or data engineering.
• Experience with Microsoft data stack (Azure, Fabric, Synapse, Data Factory, Databricks, Power BI, GenAI, Copilot).
• Knowledge of AI/ML/GenAI data workflows and analytics.