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
• You will work closely with Software Engineering, Machine Learning Engineers and Data Analysts • You help ingest, organize and enable Butter to continue to deliver value on the data we collect • We make sure it arrives in a timely manner, is organized and usable, and is of a high quality • We ingest 3rd-party data from multiple payment providers, such as Stripe, clean it and normalize it for our schema and machine learning pipelines • We're seeking to build transformation and validation layers as far upstream as possible to ensure a smooth flow of data through our system • You'll get to architect our system and lay the foundation for the future from both a technology and a system design perspective • You'll work closely with our ML and Eng team to ensure the design meets their requirements and that data properly flows 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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