Data Engineer l

We are Allvue Systems, the leading provider of software solutions for the Private Capital and Credit markets. Whether a client wants an end-to-end technology suite, or independently focused modules, Allvue helps eliminate the boundaries between systems, information, and people. We’re looking for ambitious, smart, and creative individuals to join our team and help our clients achieve their goals. Working at Allvue Systems means working with pioneers in the fintech industry. Our efforts are powered by innovative thinking and a desire to build adaptable financial software solutions that help our clients achieve even more. With our common goals of growth and innovation, whether you’re collaborating on a cutting-edge project or connecting over shared interests at an office happy hour, the passion is contagious. We want all of our team members to be open, accessible, curious and always learning. As a team, we take initiative, own outcomes, and have passion for what we do. With these pillars at the center of what we do, we strive for continuous improvement, excellent partnership and exceptional results. Come be a part of the team that’s revolutionizing the alternative investment industry. Define your own future with Allvue Systems!

• Design, implement, and maintain data pipelines that handle both batch and real-time data ingestion.
• Integrate various data sources (databases, APIs, third-party data) into Snowflake and other data systems.
• Work closely with data scientists and analysts to ensure data availability, quality, and performance.
• Troubleshoot and resolve issues related to data pipeline performance, scalability, and integrity.
• Optimize data processes for speed, scalability, and cost efficiency.
• Ensure data governance and security best practices are implemented
• Possesses a total experience of 5 to 8 years, including over 4+ years of expertise in data engineering or related roles.
• Strong experience with Snowflake, Kafka, and Debezium.
• Proficiency in SQL, Python, and ETL frameworks.
• Experience with data warehousing, data modeling, and pipeline optimization.
• Strong problem-solving skills and attention to detail.
• Experience in the financial services or fintech industry is highly desirable