Staff Data Engineer

📋 Description

• Design near real-time data pipelines with CDC and streaming.
• Build vector infra for semantic search and AI apps.
• Develop scalable ELT/ETL pipelines from multiple sources.
• Partner with data leadership to architect warehouse/lakehouse.
• Create lightweight transformations with dbt for reliable datasets.

🎯 Requirements

• 7+ years in hands-on data engineering with streaming/event-driven tech.
• Production-grade pipelines using Kafka, Kinesis, Flink, Debezium, CDC.
• Hands-on with vector databases/embedding infra (e.g., Pinecone, Weaviate).
• Strong SQL and Python; embedding strategies for AI use cases.
• Experience with Snowflake/BigQuery/Databricks and dbt.
• Data governance, quality, lineage, and reliability practices.

🎁 Benefits

• Competitive compensation based on location/experience.
• Health benefits for eligible US employees.
• Flexible paid time off.
• Parental leave and fertility/adoption assistance.
• 401(k) benefits and educational reimbursement.