Sr. Data Engineer

📋 Description

• Own the design and implementation of the data platform (warehouse, replication, orchestration
• Architect data pipelines that reliably replicate production data with correct handling of PII
• Maintain and evolve orchestration and job scheduling infrastructure.
• Design the platform for performance and cost: query patterns, materialization strategies
• Make pragmatic build-vs-buy decisions; favor leverage and speed over custom solutions where mature
• Build data quality checks, automated testing, and validation into every pipeline and model.

🎯 Requirements

• 5+ years of data engineering experience with growing ownership of platform architecture, data
• Strong SQL and Python; experience building production data pipelines on modern data stacks.
• Hands-on experience with data warehouses (Redshift, Snowflake, BigQuery) and transformation
• Experience building and maintaining data replication pipelines (CDC, DMS, Airbyte, Fivetran, or
• Solid understanding of dimensional modeling, data grain, slowly changing dimensions, and data
• Experience with semantic layers or metrics platforms (Cube, LookML, MetricFlow) and how they serve

🎁 Benefits

• 95% coverage of medical, dental, and vision
• $250 WFH setup (one time)
• $500/year Learning & Development Benefit
• $150/month cell phone + internet
• $100/month Wellness
• $100/month Co-working and Commuter Benefit