Senior Data Engineer

📋 Description

• Design, build, and evolve core data platform infrastructure (warehouses, lakes, catalogs)
• Own and improve lakehouse infrastructure as code, deploying via Terraform, Ansible, Kubernetes
• Develop and maintain low-latency streaming and CDC pipelines, plus batch ingestion
• Build data solutions with open table formats and object storage for analytics/AI
• Improve BI by enabling self-service data access for internal teams
• Implement platform reliability: monitoring, alerts, incident response, runbooks

🎯 Requirements

• 5+ years of experience in Data Engineering, building large-scale, low-latency data platforms (>100M events/day)
• Kubernetes with Docker, Helm, and cloud-native tooling
• Terraform, Ansible, ArgoCD, or equivalent IaC
• Deep understanding of distributed systems (storage, transactions, query processing, performance)
• Experience operating open-source query engines such as Trino or Presto
• Strong knowledge of object storage and open table formats, particularly Apache Iceberg

🎁 Benefits

• Comprehensive health benefits
• Remote-first work environment with flexible arrangements
• One-time home office setup allowance of $500 USD for new hires
• Monthly stipend of $150 USD through a company-provided payment card
• Opportunity to work with a globally distributed team of engineers and technology professionals
• Inclusive workplace culture focused on diversity, ownership, curiosity, and collaboration