Senior Data Engineer

📋 Description

• Design, build, and maintain scalable data platform infrastructure.
• Manage lakehouse infra as code using Terraform, Ansible, Kubernetes.
• Develop low-latency streaming and CDC pipelines; batch ingestion.
• Build data solutions with open-table formats and object storage for analytics.
• Improve BI by enabling self-service data access and governance.
• Partner with DevOps and analytics teams to address infra gaps and reliability.

🎯 Requirements

• 5+ years in Data Engineering; large-scale, low-latency 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, and query processing.
• Experience with Trino or Presto open-source query engines.
• Python and SQL for pipelines; GCP data services (GCS, Dataproc).

🎁 Benefits

• Competitive salary with stock options.
• Comprehensive health benefits.
• Remote-first work environment with flexible arrangements.
• One-time home office setup allowance of $500 USD.
• Monthly stipend of $150 USD via company-provided card.
• Inclusive, globally distributed team culture.