Butter Payments
Finance • Fintech • SaaS
Butter Payments is a company that specializes in optimizing payment recovery for subscription-based businesses using machine learning technology. They focus on reducing involuntary churn, increasing revenue recovery, and improving payment health. Butter Payments works with various payment processors and subscription management platforms to provide customized solutions for B2B, B2C, SaaS, and e-commerce companies. They emphasize security and compliance, offering regular vulnerability assessments and maintaining standards such as SOC 2 Type 2 and PCI DSS Level 2 compliance.
11 - 50 employees
💸 Finance
💳 Fintech
☁️ SaaS
Data Engineer
October 30
Butter Payments
Finance • Fintech • SaaS
Butter Payments is a company that specializes in optimizing payment recovery for subscription-based businesses using machine learning technology. They focus on reducing involuntary churn, increasing revenue recovery, and improving payment health. Butter Payments works with various payment processors and subscription management platforms to provide customized solutions for B2B, B2C, SaaS, and e-commerce companies. They emphasize security and compliance, offering regular vulnerability assessments and maintaining standards such as SOC 2 Type 2 and PCI DSS Level 2 compliance.
11 - 50 employees
💸 Finance
💳 Fintech
☁️ SaaS
📋 Description
• Work closely with Software Engineering, Machine Learning Engineers and Data Analysts • Ingest, organize, and enable Butter to continue delivering value on the data collected • Ensure timely arrival, organization, usability, and high quality of data • Architect the system and lay the foundation for future technology and design perspective • Create a system that checks the worst tendencies of data, ensuring proper flow through the system
🎯 Requirements
• 5+ years of experience delivering value through data at an early stage, high growth startup (ideally within the payments industry) • Prior experience with cloud environments such as AWS or GCP • Strong Data Modeling experience, and familiarity with different approaches (Intermediate and up) • Strong SQL skills • Strong Python skills • Prior experience with workflow orchestration tools (Prefectm, Airflow, Dagster) • Experience with distributed systems workflows (Temporal, AWS Step functions) • Experience with cloud OLAP providers and optimization (Snowflake, Redshift, BigQuery) • Experience with Kafka pub/sub patterns and data ingestion • Experience with data transformation patterns and common tools (dbt)
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