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Senior Data Engineering Developer

RightsLine
Toronto, CAN
Onsite
Discovered 3 weeks ago
Data pipeline design and developmentETL processesDatabase systems and stored proceduresData migration, cleansing, and transformationFinancial and IP dataData accuracy and integrity

Full Job Posting

Mission and impact

Build reliable, scalable infrastructure from rights and royalties data for complex financial and IP calculations.

Own the quality and dependability of data pipelines, databases, and ETL processes, using AI-powered tools without compromising data integrity.

Improve the reliability of data flow from source to insight and make workflows faster and more automated.

Data engineering and pipelines

  • Design, build, and maintain scalable data migration, cleansing, transformation, and integration pipelines.
  • Configure and refine stored procedures and queries for database performance, scalability, and maintainability.
  • Develop ETL processes that integrate diverse sources for downstream analytics and reporting.

Automation and business impact

  • Develop solutions for financial calculations, rights management, and process optimization.
  • Use agentic AI to accelerate feature development, engineering workflows, and domain learning.
  • Create scripts and tools to automate routine database tasks and reduce manual intervention.
  • Use financial and rights data expertise to address client needs and business goals; identify workflow and data-delivery improvements.

Collaboration

  • Partner with cross-functional teams to align data engineering with business objectives and deliver solutions.

What you will bring

  • At least two years of database developer or analyst experience.
  • Bachelor’s in Computer Science or Engineering, or equivalent work experience.
  • Strong analytical thinking, problem-solving, communication, and ability to explain technical concepts.
  • Ability to analyze complex financial or IP datasets and hands-on experience designing scalable solutions.
  • Attention to detail and commitment to data accuracy and integrity.
  • Effectiveness using AI to develop production-quality code with good design.

Preferred qualifications

  • SQL and/or Python experience for data manipulation and analysis.
  • Finance or IP industry experience; familiarity with large-scale datasets and cloud platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of DevOps and CI/CD, data warehousing, or business intelligence tools.
  • Relevant database certifications are a bonus.
  • Experience with Claude, Copilot, Codex, or other agentic AI tools.

Company values

Rightsline emphasizes curiosity, adaptability, accountability, execution, humility, and collaboration.

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