Senior Software Engineer Data Integration

The Senior Software Engineer will be a key member of a small, focused product team working to create the core data platform that the client's data analysts, data scientists, quantitative investors, and researchers can rely on for sourcing investment data sets. The platform's cloud-native ecosystem includes Dockerized ingestion pipelines running in Kubernetes, RESTful access APIs, a web-based data exploration environment, and downstream client libraries compatible with several languages. The ideal candidate is obsessed with creating high-quality software, loves working with data in all its myriad forms, enjoys thinking and debating about the best solutions to complex problems, and has the ability to push forward and get things done. If you're the kind of person who gets excited by the prospect of wrapping your mind around a different problem each day, we'd love to chat with you.

Among other things, the Senior Software Engineer will:

• Devise and develop solutions that leverage cloud-based data and distributed computing technologies.
• Gain a deep understanding of data requirements and utilization for quantitative investment, in order to help drive prioritization and design decisions.
• Partner with end-users and collaborate with team members in order to understand and flesh out requirements, as well as provide occasional first level support.
• Apply creativity and lateral thinking. Craft high-performance solutions to loading and serving large amounts of investment data.
• Work as part of a globally-distributed yet close-knit engineering team. Be an active participant in feature brainstorming, technical design sessions, code reviews, and general interaction.
• Create software that is well-commented, well-understood, well-tested, and well-documented: Quality above all!

• Degree in Computer Science or closely related field.
• 8+ years of professional software development experience. Financial industry exposure a plus but not at all required.
• A passion for data and experience in applying that passion to high quality data products.
• Strong knowledge of software engineering best practices, object oriented concepts, and the ins and outs of data-focused development.
• Data-oriented experience with languages such as Python, Rust, Scala, Java, C#, etc. We work primarily in Python and Rust, but the right candidate can come from any language background. React experience a plus.
• Intermediate or better knowledge of SQL and experience writing production queries against one or more SQL DBMS.
• Experience with basic DevOps techniques, including CI/CD and infrastructure-as-code.
• Experience working in at least one cloud environment. Familiarity with AWS a big plus.
• Self-starter mentality. We look for team members who are not afraid to experiment, ask lots of questions, and won't get blocked in a fast-paced and agile environment.
• Continuous learner, interested in gaining a deep understanding of large and complex systems at every level. Enjoys diving in to find answers to often subtly nuanced problems, formulating creative solutions, and thoroughly testing to understand both positive and negative implications.