Senior Analytics Engineer

📋 Description

• Own and evolve client-facing data transformation pipelines, improving how data is integrated
• Design and maintain robust data integrity tests in partnership with Engineering and Customer
• Collaborate with Customer Success to understand reporting and data requirements, troubleshoot
• Refactor and optimize critical data models and pipelines to improve performance, scalability
• Establish technical patterns, conventions, and best practices that can be adopted across the Data
• Explore and implement AI-enabled approaches that accelerate transformation development, improve

🎯 Requirements

• Demonstrated experience owning transformation pipelines for financial or operational data from
• Strong SQL skills and hands-on experience with dbt or a comparable transformation framework
• Strong understanding of the full data lifecycle, from source systems and ingestion through
• Experience working with data technologies such as BigQuery, Python, Git, and CI/CD; familiarity
• Proven ability to take ownership, operate independently in ambiguous situations, establish
• Strong commitment to code quality, data integrity, documentation, performance optimization, and

🎁 Benefits

• Competitive US compensation: $145.000 – $192.000 annually, plus equity.
• Fully remote work for candidates based in United States and other eligible locations across the
• Flexible working hours designed to support autonomy and distributed collaboration.
• Unlimited PTO to encourage sustainable performance and time away from work.
• Regular in-person company retreats to build relationships and strengthen collaboration.
• Company-provided MacBook Pro or Lenovo laptop.