Python Engineer, Data Platform
Join the Data Platform team to build and maintain data-driven applications, including AI-powered data access tools. Work on a mix of legacy, improved, and greenfield projects with firm-wide impact.
What you’ll do:
Develop and enhance solutions for data and metadata access
Build reliable, scalable applications and operational processes
Experiment with AI-assisted development tools and share best practices
Collaborate in a distributed team, taking ownership of impactful projects
What we’re looking for:
3+ years in software engineering, Python and SQL experience
Experience with data systems, cloud technologies, or AI-assisted tools is a plus
Product-oriented mindset, comfortable navigating ambiguity, and impact-focused
Nice to have:
Experience with Kubernetes, Kafka, or federated query engines (e.g., Trino)
Familiarity with monitoring/observability tools like Grafana, Prometheus, CloudWatch
Experience with AWS or other cloud platforms
Hands-on experience with AI coding assistants (Copilot, Claude Code, Codex, etc.)
Why join:
High-visibility, high-impact role across the firm
Shape AI-driven development and data access practices
Work on cutting-edge tech in institutional finance
Collaborative culture with competitive compensation
Python Engineer, Data Platform
Python Engineer, Data Platform