Senior Backend Engineer with Data Science

Summary

Join Fingerprint as a Senior Golang Engineer and contribute to the development of end-to-end fraud detection solutions. This role blends backend software development with data analysis, requiring you to design and implement scalable backend systems while analyzing large datasets to identify fraudulent activity. You will collaborate with cross-functional teams, taking ownership of features from concept to deployment. A key responsibility involves improving fraud detection signals, conducting deep dives into problematic features, and building backend systems for real-time data processing. The position includes on-call rotation and requires proficiency in Golang and related technologies. Fingerprint offers a competitive salary and benefits package.

Requirements

• BS/MS in Computer Science, Data Science, or a related field, or equivalent work experience
• 5+ years of experience in backend development
• 3+ years of experience in GoLang
• Strong experience in designing, developing, and maintaining scalable backend systems
• Experience working with real-time data processing and APIs
• Strong knowledge of SQL and experience with databases like DynamoDB, Redis, or Elasticsearch
• Proficiency with general software engineering tools: Git, IDEs, shell scripting, CI/CD
• Proficient in English for clear communication in a global, remote team

Responsibilities

• Collaborate with the Smart Signals Product team to improve fraud detection signals, including browser bot detection, VM detection, VPN detection, and more
• Conduct deep dives into problematic features, researching and analyzing their behavior to understand root causes and identify potential solutions. Develop hypotheses, run experiments, analyze results, and translate findings into actionable engineering improvements
• Build and enhance backend systems for real-time data processing
• Foster a data-driven culture by sharing engineering best practices and collaborating on cross-functional projects
• This role includes participation in a shared on-call rotation. The schedule will be communicated in advance, and we strive to balance coverage equitably while minimizing off-hours disruptions

Preferred Qualifications

• Practical experience with analytical storage systems like ClickHouse, Snowflake, BigQuery, Redshift, or Databricks
• Experience with data transformation frameworks like dbt or other data pipeline tools
• Experience with the Python data analytics stack (NumPy, Pandas, Jupyter, etc.)

Benefits

$130k - 200k