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. 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
Requirements:
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.)
Must have: Python, SQL, Cloud
Nice to have: Kubernetes, Kafka, Grafana, Prometheus, CloudWatch, AWS, Cloud platform, AI
Daily tasks: - 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