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 helpful but not required
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
