Blackstone, the world's largest alternative asset manager with $1.1 trillion in assets under management, is seeking a Data Platform Engineer to join their Technology & Innovations (BXTI) team. This role sits at the intersection of data science, software engineering, and cloud infrastructure, focusing on building and maintaining the critical data platforms that power Blackstone's operations.
The position offers an opportunity to work with cutting-edge technologies in cloud computing, data engineering, and machine learning operations. You'll be responsible for designing and maintaining scalable data platforms, implementing MLOps practices, and ensuring robust data pipeline operations. The role requires collaboration with data scientists and analysts to optimize workflows and deploy machine learning models to production.
Working at Blackstone means joining a team that's critical to maintaining the firm's competitive edge in the financial markets. The BXTI team is known for its entrepreneurial spirit and rapid development pace, where team members can make significant impacts from day one. The environment emphasizes active mentoring and excellence in execution.
The ideal candidate will bring 4+ years of data platform engineering experience, strong programming skills in Python and SQL, and expertise in cloud platforms. You'll be working with modern tools including Kubernetes, Docker, and various MLOps frameworks. The role offers competitive compensation ranging from $125,000 to $190,000, plus additional benefits.
This is an excellent opportunity for a talented engineer looking to advance their career at the intersection of finance and technology, working with enterprise-scale data systems and contributing to the success of a global investment firm.