The Enterprise Data Engineering Team is responsible for the development and support of this clients' critical data processing and warehousing applications. This team consists of data engineers whose key functions include database development, system integration, and production support. Engineers are responsible for implementation and maintenance of multiple proprietary databases, with a focus on an Azure Synapse Enterprise Data Warehouse. The candidate will participate in an agile development lifecycle. The role offers the candidate an opportunity to innovate while working with seasoned engineers in support of key 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 Add (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.

Additional Information

• This is a hybrid position in Boston, MA. (Once/week on-site).
• Base range of $125k-140k, total compensation of $160k-175k.
• VISA Sponsorship capabilities.
• Industry leading benefits.

Please do not hesitate to apply!