Staff Data Engineer

📋 Description

• Architect scalable data platforms for real-time and batch analytics.
• Own data systems end-to-end: ingestion, streaming, transformation, storage, serving.
• Design and implement distributed data processing with Spark and Databricks on AWS.
• Build and optimize pipelines with Airflow and modern orchestration frameworks.
• Define and enforce CI/CD, IaC, testing, and observability standards.
• Harden pipelines with monitoring, alerts, SLAs, and recovery mechanisms.

🎯 Requirements

• 8+ years designing and operating high-volume distributed data systems in production.
• Deep expertise with cloud data platforms (Databricks preferred) and AWS; tuning/cost optimization.
• Strong proficiency in Python, SQL, and Spark for large-scale processing.
• Hands-on dbt experience; awareness of platform decisions on modeling.
• Experience with Airflow and modern CI/CD practices (GitHub Actions, Terraform).
• Excellent communication skills across engineering, analytics, product, and executive stakeholders.
• BS in Computer Science, Engineering, Mathematics, or equivalent experience.

🎁 Benefits

• Medical, dental, vision, life, and disability insurance (US paid; Canadian supplements).
• 401(k) with company matching (US) and RRSP with DPSP for Canada.
• Employee Assistance Program (EAP) for mental wellness.
• Flexible PTO and 12 company-wide days off.
• Equipment, tools, and reimbursement for a productive remote environment.
• Free Life360 Platinum Membership for your preferred circle.