Job Url: https://rightsline.bamboohr.com/careers/179

Job Description: a (Remote)

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Department

Engineering - Data Engineering

Employment Type

Full-Time

Minimum Experience

Mid-level

Since 2012, Rightsline has been revolutionizing rights and royalties management with its leading IP Commerce SaaS platform. Trusted by global innovators like Disney, Amazon, Spotify, and the NFL, our solutions empower rights holders to maximize portfolio value, reduce risk, and increase profitability. Serving industries from media and entertainment to life sciences, our scalable platform combines advanced analytics, business process outsourcing, and decades of expertise to tackle the most complex rights and royalties challenges.

 

With over 300 employees across multiple regions, including the United States, Canada, the United Kingdom, and India, Rightsline fosters a dynamic, collaborative environment where innovation thrives. We’re passionate about creating smarter solutions, encouraging personal growth, and celebrating creativity. Join a team that offers competitive benefits, a supportive workplace, and the opportunity to lead the future of intellectual property management.



Welcome to a world of less data entry and more data integrity. Welcome to the Rightsline reality!

 

The Position

We are seeking a skilled Data Engineer to join our dynamic team. In this role, you will play a pivotal part in designing and implementing custom solutions that support complex financial and IP calculations, reporting, and data transformations. Your work will directly contribute to improving our clients' operational efficiency and decision-making capabilities.


**We are looking to fill this role in a remote environment**



 What you will do:

Problem-Solving: Develop innovative solutions to complex challenges in financial calculations, rights management, and process optimization.
Data Engineering Solutions: Design, build, and maintain scalable data pipelines for migration, cleansing, transformation, and integration tasks, ensuring high-quality data outcomes.
Database Development & Maintenance: Configure, implement, and refine stored procedures and queries to ensure optimal performance, scalability, and maintainability of database systems.
ETL & Data Migration: Develop robust ETL (Extract, Transform, Load) processes that integrate data from diverse sources, ensuring seamless migration and transformation for downstream analytics and reporting.
Automation & Scripting: Create and implement automated scripts and tools to streamline routine database tasks, reduce manual intervention, and improve overall operational efficiency.
Collaboration: Partner with cross-functional teams to align data engineering efforts with broader business objectives and deliver seamless solutions that drive value across the organization.
IP Commerce Data Expertise: Leverage deep knowledge of financial and rights data to develop creative solutions that address client needs and advance business goals.
Process Improvement: Continuously identify opportunities to optimize workflows, automate repetitive tasks, and enhance efficiency in data processing and delivery.


What you will bring to the role: 

Must-Have:

Minimum 2 years of experience in an database developer or analyst position.
Bachelors in Computer Science, Engineering or equivalent work experience. 
Exceptional analytical thinking and problem-solving capabilities.
Strong verbal and written communication skills with the ability to articulate technical concepts clearly.
Proficiency in analyzing complex financial or IP data sets.
Hands-on experience with engineering principles, including designing and implementing scalable solutions.
Strong attention to detail and commitment to ensuring data accuracy and integrity.
Preferred:

Experience working with SQL and/or Python for data manipulation and analysis.
Experience working in finance or IP-related industries, with an understanding of their unique challenges and requirements.
Familiarity with handling large-scale datasets and cloud-based platforms (e.g., AWS, Azure, Google Cloud).
Knowledge of DevOps practices and CI/CD pipelines to streamline database management and deployment.
Understanding of data warehousing architectures and business intelligence tools for advanced analytics.