Data Engineer

Our client, a mid-size global investment firm with $75 Billion AUM, is seeking a talented full-time Data Engineer to join their Boston data engineering team where the impact will be immediate and tangible. This will be a hybrid-focused position. As a fast-growing, 400+ person company, they require someone who is motivated, a self-starter, adaptable and comfortable working on a small team in an extremely fast-paced, ever-changing entrepreneurial environment. Key Responsibilities: Design and build scalable data pipelines integrating internal applications (e.g., OMS/PMS systems) and external data vendors such as Bloomberg and MSCI Analyze and manage complex data structures across both source and target systems Collaborate closely with Data Management, AI, and Software Engineering teams to deliver high-value, business-aligned solutions Work within an agile team of five data engineers led by the Principal Data Engineer, participating in all Scrum ceremonies Develop and maintain data sources using MySQL databases and Python applications Create and optimize data pipelines using Azure Data Factory (ADF) Transform and manage data within Snowflake environments Build AI agents and semantic views leveraging Snowflake Cortex AI Apply data engineering best practices to develop scalable, maintainable, and testable code Solve complex data engineering challenges across multiple technologies and systems Contribute to a greenfield Snowflake Cortex initiative built on top of an existing enterprise data lake with complex datasets and interconnected systems Support the delivery of innovative data solutions in a fast-paced, collaborative engineering environment The ideal candidate will be a talented data engineer with a degree in Computer Science or similar technical subject, or equivalent experience. The candidate will be working independently and to be effective the candidate needs to be a self-starter, curious, practical, committed to high quality well-tested code, apply clear judgment and critical thinking, as well as collaborating closely with others in the firm. In Order To Be Successful: Must have worked in building data warehouses with complex data structures Proficient in data modelling and star schema Approximately 5+ years of commercial experience as a data engineer Approximately 3+ years of working in Snowflake (including Snowflake Cortex AI and semantic views) Approximately 3+ years of working in python (Python 3+) Strong database querying skills preferably in MySQL Proficient in working with APIs Experience working in Agile setup Genuine passion for solving complex problems through programming Preferred: Understanding of a visualization tool preferably Power BI Approximately 3+ years of working in ADF (Azure data factory) Exposure to AI tools e.g. Codex, Claude, agentic framework Experience working effectively with global, cross-functional teams #J-18808-Ljbffr Atlantic Group