Senior Software Engineer, Data Infrastructure

📋 Description

• Architect and implement key components of Docker's data platform, driving technical direction for
• Design and build scalable data infrastructure leveraging Snowflake, AWS, Airflow, DBT, and Sigma
• Build end-to-end data pipelines supporting real-time and batch analytics across the product
• Evaluate and select data platform technologies, architectural patterns, and engineering best
• Apply and help improve technical standards for data quality, testing, monitoring, and operational
• Build high-throughput data systems supporting high-volume user interactions

🎯 Requirements

• 6+ years of software engineering experience, with 3+ years focused on data engineering
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical
• Strong experience with Snowflake, including SQL tuning, performance optimization, and cost
• Proficiency with DBT for data modeling, transformation, and testing at production scale
• Experience orchestrating workflows and pipelines with Apache Airflow
• Experience using Sigma or similar modern BI platforms for self-service analytics

🎁 Benefits

• Remote-first by design
• Flexibility that fits your life
• Time to recharge: Generous PTO, quarterly Whaleness Days, end-of-year Whaleness break
• Home office support
• Technology stipend: US$100 net per month
• Learning & development stipend