Senior Associate, Data Engineer
About The Position
Partners Capital is seeking a talented data engineer to join our Boston data engineering team where the impact will be immediate and tangible. As a fast-growing, 400+ person company, we seek 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 include: 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 Position Description Key responsibilities may be assessed and are subject to change from time to time based on the needs of the business. The individual may be required to work overtime as needed. Additional responsibilities include: Responsible for ensuring all information security processes, policies and procedures are adhered to and any issues or concerns are raised with the Cyber Security team Ensure full compliance with all local data protection regulations and privacy controls, and any related issues are raised via the appropriate channels
Requirements
- 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.
- Degree in Computer Science or similar technical subject, or equivalent experience.
- 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.
Nice To Haves
- Understanding common design patterns & data modelling for python application development.
- 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.
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
- Responsible for ensuring all information security processes, policies and procedures are adhered to and any issues or concerns are raised with the Cyber Security team
- Ensure full compliance with all local data protection regulations and privacy controls, and any related issues are raised via the appropriate channels
Benefits
- professional development and career progression opportunities
- competitive compensation
- exceptional benefits
- flexible “results-focused” working model
- medical, dental, and vision insurance
- short and long-term disability insurance
- life insurance
- flexible spending accounts
- commuter benefits
- paid time off
- 401(k) plan with employer matching
- global philanthropy via a charity program and volunteer day
- wellness and social events
- support the pursuit of professional certifications such as the Chartered Financial Analyst (CFA), Chartered Alternative Investment Analyst (CAIA), etc.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
