Staff Data Engineer

📋 Description

• Design and implement large-scale distributed data processing systems (Hadoop, Spark, Flink)
• Build robust data pipelines and infrastructure to transform data into insights
• Architect data lakes, warehouses, and real-time streaming platforms
• Implement security and optimize performance across the data stack
• Leverage containerization (Docker, Kubernetes) and streaming tech (Kafka, Confluent) to drive innovation
• Collaborate with analysts and engineers; mentor juniors and raise the team's technical bar

🎯 Requirements

• Deep knowledge of data architecture, ETL/ELT pipelines, and distributed systems
• Proactive problem-solving and ownership from concept to production
• Strong coding in Python, SQL, or Scala; champion best practices (versioning, testing, CI/CD)
• Collaborate across analysts, data scientists, and engineers; mentor juniors
• Data governance, data lineage, and security focus
• Experience with Airflow, dbt, Spark, Flink, Kafka; knowledge of Confluent and AWS

🎁 Benefits

• Remote First, Remote Always
• PTO in accordance with local labor requirements
• 2 corporate apartment accommodations for team use (San Diego & São Paulo)
• Monthly Wellness Fridays
• Full Paid Parental Leave
• Home office stipend based on country of residency