> Markdown version of [/jobs/ext/4615715-software-engineer-data-team](https://www.wearedevelopers.com/jobs/ext/4615715-software-engineer-data-team). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Data Team - **Company:** CONFLUENCE TECHNOLOGIES INC - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $36,000 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Microsoft Azure, Big Data, Databases, Information Engineering, Data Files, Data Infrastructure, Extract Transform Load (ETL), DevOps, Design of User Interfaces, Human-Computer Interaction, Python (Programming Language), Microsoft SQL Server, Performance Tuning, Query Optimization, Software Engineering, SQL Stored Procedures, SQL Databases, SQLAlchemy, Transact-SQL, Enterprise Software Applications, Snowflake, Backend, Fastapi, Information Technology, Star Schema - **Published:** November 7, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-engineer-data-team--38eb77f4-1918-4c77-8925-4f4629bff52f ## About the Role Software Engineering, Software Development, Application Programming Interface (API), Snowflake Schema, Data Sets, Software Engineering, DevOps, Reconciliation, Microsoft Windows Azure, User Interface/Experience (UI/UX), 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. ## Description 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.