Senior Data Engineer II

📋 Description

• Develop end-to-end data pipelines and ingestion workflows for analytics.
• Architect Spark/PySpark workflows at scale across Databricks and cloud.
• Design data platforms as products; build MCP servers and AI agents.
• Integrate data from ERP (Netsuite), CRM (Salesforce), and product data.
• Improve data architecture, quality, monitoring, observability, and availability.
• Lead collaboration with platform and infra teams; set standards; mentor engineers.

🎯 Requirements

• Bachelor's degree in CS, data engineering, or related field.
• 10+ years in software/data engineering.
• 8+ years Spark/PySpark in production.
• 3+ years API development in Python.
• Strong Python and SQL; cloud data warehousing experience (Snowflake/BigQuery/Databricks).
• ETL tools such as Fivetran or DBT, or equivalent.

🎁 Benefits

• Flexible remote work model with optional offices.
• Above-market total rewards and equity for eligible roles.
• Professional development stipend.
• Comprehensive health and parental leave plans.
• Inclusive culture with mentorship and growth.
• Transparent performance feedback and career development.