Own full-stack features end-to-end: from design to deployment, ensuring they solve customer needs and drive business value.
Build systems that streamline the parsing, standardization, and movement of complex financial data.
Deliver client-facing and high-impact features, including responsible use of AI/LLM technologies to automate workflows while maintaining quality and compliance.
Collaborate closely with Product, Design, and Leadership to shape our roadmap, working directly with your Tech Lead and having access to the C-Suite.
Invest in developer experience: build and refine dev tools that keep the team productive and velocity high.
Partner with cross-functional teams to clarify scope, validate client expectations, and ensure impactful delivery.

5+ years of Data or Full Stack Software Engineering experience with a proven track record of delivering production systems.
Expertise in our modern tech stack: Python/Flask, TypeScript/React, Tailwind CSS, Data Warehouses, and tools for data and AI.
Experience participating in a rotating on-call shift, with the ability to investigate, triage, and resolve immediate production issues.
A strong ownership mindset – you take responsibility for initiatives and see them through to completion.
Demonstrated ability to rapidly prototype and iterate based on tight feedback loops.
Comfort operating in ambiguous, high-autonomy environments while driving clarity and progress.
Curiosity and practical experience with AI and LLM technologies, with a focus on their responsible use in production systems.
Excellent communication skills – you ask the right questions, align stakeholders, and make complex ideas clear.
A collaborative approach – you work effectively with teammates, welcome feedback, and contribute to team success.
Strong Database/Data Warehouse experience a plus.

Senior Data Engineer

Key skills