We’re looking for: 

• Senior Data Engineer with a deep understanding of patterns of data architecture and back-end system design
• Proficiency in Python or other similar languages
• Strong analytical and debugging skills
• Interested in professional growth and willing to learn new technologies
• Fluent in English (both written and verbal)

Responsibilities:

• Drive the design and implementation of systems at the core of data infrastructure on a small, but effective team of data engineers
• Work with data scientists to build high-throughput systems that allow us to continually invest in a rich, engaging experience
• Help envision, implement, and evangelize new features, pipelines, and platforms that not only deliver data, but insight 
• Creating new infrastructure/applications to being exploring new products/services

Requirements:

• A consistent track record of building highly-available back-end systems that scale
• High standards for code quality, maintainability, and performance
• Experience with cloud databases such as Redshift, Snowflake or similar
• Experience with SQL, Python, Airflow, and AWS
• Familiarity with Kubernetes and Docker
• Experience with A/B testing or machine learning infrastructure is a plus, especially GrowthBook and Eppo
• Some experience with tools like dbt, Monte Carlo, and Amundsen, are nice to have

Benefits:

• Competitive salary and bonuses
• Exciting projects for San Francisco based clients
• The ability to use cutting edge technologies
• Free lunch, fruits, snacks, and drinks
• Brand-new gadgets: MacBook Pro, pick out big monitors, fancy headphones, and more
• Paid time off and all National Holidays
• Flexible working hours
• A highly talented, professional, and friendly team