Senior Data Engineer

📋 Description

• Design and implement scalable Lakehouse storage and schema evolution
• Build real-time and batch ingestion pipelines with Kafka and Spark
• Deploy and scale data workloads with Kubernetes (EKS)
• Develop ETL workflows and optimize for memory and shuffle
• Manage end-to-end data lifecycles using orchestration tools
• Write high-performance queries with optimization, compaction, and data skipping

🎯 Requirements

• 5+ years in Data Engineering; 2+ years in Lakehouse or modern Data Lake environments
• Hands-on AWS ecosystems, async/queue processing in production with a Lakehouse
• Expert in workflow management, data transformation, storage and exchange at scale
• Proven experience with event-driven processing; ingestion, large-scale data, performance tuning
• Experience with Kubernetes and infrastructure as code

🎁 Benefits

• Medical, dental, vision, basic life insurance
• PTO and company-paid holidays
• Retirement programs
• 1% charitable giving program