Analytics Engineer - Seattle, WA

📋 Description

• Design, build, and maintain scalable data pipelines and models end-to-end.
• Build and optimize data models for batch and real-time queries.
• Partner with Engineering, Product, and Data Science to define data needs.
• Define source-of-truth datasets and ensure data quality across pipelines.
• Develop self-service analytics tools and AI-powered data products.
• Contribute to semantic layer design and data modeling standards.

🎯 Requirements

• 2+ years in analytics engineering or data engineering, preferably at a scaling startup.
• Strong SQL and Python, version control, and modern data tooling (dbt, SQLMesh).
• Experience with large-scale data ecosystems (1B+ rows), batch and real-time/OLAP.
• Knowledge of data modeling: star schemas, slowly changing dimensions, incremental materialization.
• Experience partnering with Product, Engineering, and Data Science to deliver data products.
• Balance strategic thinking with hands-on ownership; a full-stack mindset.
• Passion for high-quality, scalable, and usable technical systems.

🎁 Benefits

• Medical, dental, and vision insurance.
• Company-paid life and disability insurance.
• Voluntary accident, critical illness, and hospital indemnity insurance.
• Optional supplemental life insurance for you and dependents.
• 401(k), HSA, and FSAs.
• Paid time off including vacation, holidays, sick time, bereavement, and parental leave.