About this role
Location: US -Remote (EST) Why Confluence? At Confluence, we’ve always been driven by a commitment to innovation, precision, and partnership in the investment data space. Our global footprint now spans multiple countries, giving our employees the opportunity to get exposure to other countries and cultures. And it stands to reason that none of this would have been possible without the hundreds of hard-working employees who work at Confluence. The Data Team is building the next-generation data platform — a multi-tenant platform that will become the shared data layer behind our applications. At the heart of that platform is a Python data API built on a layered router → service → repository architecture, containerized with Docker and deployed entirely through infrastructure-as-code. Today the platform is SQL Server-heavy, and part of this role is migrating business and data logic out of legacy stored procedures into testable Python — parameterized SQL for retrieval, pandas for computation and reshaping. As we evolve, we intend to grow well beyond a single database — incorporating additional and modern data sources (for example, Snowflake, which the API's SQLAlchemy-based connection registry is already designed to add) and the patterns needed to serve them through a unified API. This is a foundational, shaping role: you will help define the architecture and direction of that next-generation platform, not just maintain what exists. We are seeking a Software Engineer with a strong data-engineering focus to join the Data Team. The role is primarily focused on the data API, but it is a team role rather than a single-service one — you will work across the data platform as it grows. This is backend- and data-centric work: you will spend more time on data correctness, performance, and the movement and reconciliation of large datasets across heterogeneous sources than on any single framework or UI library. We value depth in the core technologies and engineering fundamentals over expertise in any specific component, and we expect enough Azure and DevOps capability to deploy and operate what you build.