About the Role
Design, develop, and maintain scalable backend services and data processing workflows used to track and distribute music royalties. Ensure accuracy, performance, and compliance with complex licensing rules.
Responsibilities
- Develop and optimize Python applications for royalty computation and reporting
- Build and maintain ETL pipelines to aggregate music usage data from multiple sources
- Collaborate with legal and finance teams to interpret licensing agreements
- Implement data validation rules to ensure royalty accuracy
- Support integration with third-party music rights databases
- Write clean, testable code with comprehensive documentation
- Troubleshoot production issues and perform root cause analysis
- Participate in code reviews and technical design discussions
- Monitor system performance and implement improvements
- Ensure data integrity across distributed systems
- Work with cloud infrastructure for scalable processing
- Maintain compliance with data privacy and security standards
- Automate repetitive operational tasks
- Support audit requirements with detailed logging and traceability
- Contribute to architectural decisions for long-term scalability
Nice to Have
- Prior work in entertainment, media, or legal technology
- Experience with big data tools like Apache Spark or Airflow
- Background in financial systems or royalty distribution
- Knowledge of copyright law as it pertains to music
- Exposure to microservices architecture in production environments
Compensation
Competitive salary with performance-based bonuses
Work Arrangement
Hybrid remote with office presence in New York City
Team
Collaborative team of engineers and data specialists focused on music rights management
About the Team
This role is part of a specialized technology unit within a law firm focused on music rights. The team builds internal tools to streamline royalty tracking, auditing, and client reporting.
Technology Stack
Primary languages include Python and SQL. Infrastructure leverages cloud services, container orchestration, and modern data platforms to handle high-volume transactions.
Available for qualified candidates
