Senior Data Engineer

Overview

One of Boston's most Prestigious Quantitative Investment Firms has an opportunity for an Enterprise Data Engineer to develop and support critical data processing and warehousing applications. This is a tech-first, data driven firm that is particularly focused on exceptional security since they manage almost $80 billion in assets under management on behalf of their clients. You’ll be involved in implementation and maintenance of multiple proprietary databases, with a focus on an Azure Synapse Enterprise Data Warehouse. In a hands-on, technical capacity, you’ll also have a chance to innovate while working with seasoned engineers in support of business groups.

Responsibilities

• Design and implement SQL and Python solutions for Portfolio Management, Operations, Marketing, and Client Reporting teams
• Maintain an Azure Synapse Enterprise Data Warehouse
• Migrate existing systems to a cloud environment
• Implement optimal data modeling and access patterns to allow for performant and cost-effective data use
• Support the production processing of data within the Enterprise data ecosystem

Qualifications

• 2-5 YOE in SQL and Python programming
• Experience in and passion for working in the financial services industry
• Experience migrating distributed applications to a cloud-based platform (Azure or AWS)
• Familiarity with distributed enterprise applications
• Understanding of Agile practices
• Bachelor’s Degree in Computer Science

Value Added (but not required)

• Experience with Azure data platforms (Synapse, SQL Database, Data Factory and Data Lake)
• Experience working with data (files, rest APIs, databases) in Python
• Experience working with data warehousing technologies
• Experience working with financial data systems
• Familiarity with NeoXam, DataHub

What makes this firm unique?

• Extremely competitive employee benefits program, 401K, and compensation package
• One of the best-rated work cultures and work/life balances in the industry (casual dress, collaborative teams, flexible work hours)
• Exceptional retainment due to quality of life and opportunity for internal growth and learning