The Atlas team in Trading Solutions (TS) is building a new data platform that will be leveraged to store and retrieve trade data for all of Bloomberg's trading products. Our data platform is the low-level infrastructure that sets the stage for future product development in TS. We are working to modernize our event processing workflows, data services, and middleware to align data across applications and build an infrastructure that can scale to future growth.

On our team, you will build out databases and data access routines for new business domains. You will define best practices for database development and ensure we have robust test frameworks. We expect you to be comfortable diving into code written in any language to fix a problem.As database engineers, we’re not focused on report generation, ETL or Business Intelligence, but rather on fast queries and how we can improve the way we get data in and data out. You will learn different business processes and workflows to determine the best way to organize and segment data.

You'll need to have:

• 5+ years of professional experience developing low-latency SQL queries and stored procedures
• Experience working with PostgreSQL

We'd love to see:

• 5+ years of professional experience working on high volume OLTP systems
• Experience with C++, Java or Python
• Financial knowledge and project management experience