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Confluence Technologies, Inc. is seeking a Software Engineer for the Data Team. You will build a Python data API backed by FastAPI, migrate legacy logic to Python, and collaborate across the data platform to integrate diverse data sources.
You will work with SQL Server, Snowflake, and SQLAlchemy, focusing on data correctness, performance, and large dataset movement, while leveraging Azure and DevOps practices to deploy your work.
Department: Development - Software Development
Employment Type: Permanent - Full Time
Location: United States
Reporting To: Thomas Garrett
Location: US -Remote (EST)
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.
Bachelor's degree in Software Engineering/development, Computer Science, or related field.
3 years of experience in software development.
Strong proficiency in Python (3.12+) backend development — FastAPI, Pydantic v2, async/await — and T‑SQL, with deep comfort in the data and service layers of an enterprise application. (Breadth and fundamentals matter more than any specific library or framework.)
Expert‑level SQL Server and data engineering: parameterized query authoring, query optimization and execution‑plan analysis, indexing strategy, set‑based processing, and bulk / ETL data movement and large‑dataset performance tuning — plus comfort migrating logic out of legacy stored procedures into Python.
Exposure to modern cloud data platforms and warehouses (e.g. Snowflake) and an interest in integrating multiple, heterogeneous data sources — each just another SQLAlchemy dialect — behind a unified API.
Confluence offers generous benefit packages for team members. As a growing, global organization, we are always looking for ways to ensure that our employees can access benefits that matter to them and their families. This includes:
We offer flexible working options for all employees.
#LI-US -Remote (Eastern Standard Time Zone)
We look for people who align with our 4 values.
Face reality with honesty, courage and accountability
Deal creatively with challenges and envision what the world could be
Build good habits into reflexes which become a part of our life
Committed to the success of others
As part of our recruitment process, we carry out identity checks on all candidates. Offers of employment are conditional upon the completion of satisfactory background checks prior to the commencement of work. These checks may include verification of identity, right to work in the UK, employment history, and other relevant pre‑employment screening.
Please note that additional checks may be required depending on the nature of the role and the jurisdiction in which the role is based or operates. These may include, but are not limited to, criminal record checks or financial background checks where applicable.