Senior Data Engineer

What You'll Do:

• Architect Scalable Systems: Design, develop, and maintain highly scalable, fault-tolerant, and performant ELT/ETL data pipelines using modern cloud data services to process billions of customer events daily.
• Technical Leadership: Serve as a technical leader within the data team, defining data engineering standards, code review processes, and architectural best practices.
• Data Modeling & Optimization: Lead the design and implementation of optimized data models (e.g., Data Vault, Kimball, or other dimensional models) in our cloud data warehouse (e.g., Snowflake, BigQuery) to support real-time reporting, internal analytics, and machine learning initiatives.

Who You Are:

• 5+ years of professional experience in Data Engineering, focused on building large-scale, high-throughput data platforms is required.
• Proficiency in SQL and extensive experience with modern cloud data warehouses (e.g., Snowflake, Databricks, BigQuery), including advanced concepts like performance tuning, clustering, and materialized views.
• Deep expertise in Python for data engineering, specifically for building and optimizing complex data processing applications.

Why You’ll Love Us:

• We celebrate one another’s differences.
• Join the experts. If you're passionate about supporting businesses and organizations, you won’t find a better spot to share your talent.
• You’ll have opportunities to grow your career.