Senior Data Engineer

📋 Description

• Design, build, and continuously evolve core data platform infrastructure, including distributed
• Own lakehouse infrastructure as code and manage deployments using Terraform and Ansible across
• Build and maintain low-latency streaming and change-data-capture pipelines, as well as batch
• Develop scalable, reliable data ingestion and processing solutions capable of supporting hundreds
• Expand and optimize the business intelligence landscape so downstream teams and AI agents can
• Establish and maintain platform reliability practices, including monitoring, alerting, on-call

🎯 Requirements

• 5+ years of professional experience in Data Engineering, including at least 2 years building and
• Strong hands-on experience operating data infrastructure on Kubernetes, with cloud-native
• Production experience with infrastructure as code and deployment automation using Terraform
• Deep understanding of distributed systems, including storage, transactions, and query processing
• Strong experience with object storage and open table formats, particularly Apache Iceberg.
• Proven experience with streaming and CDC technologies such as Kafka, Redpanda, and Debezium.

🎁 Benefits

• Competitive salary and stock options.
• Health benefits.
• 100% remote work within the Americas.
• One-time USD $500 home-office setup allowance for new hires.
• USD $150 monthly stipend provided through a Brex card.
• Opportunity to work with a globally distributed team of engineers and data professionals.