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

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

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