Data Engineer – Python / Async / AI Full Time

🚀 Data Infrastructure Engineer – AI / Financial Data

📍 Hybrid

💰 Competitive Salary + Equity

We’re working with an early-stage AI company building infrastructure that transforms large volumes of unstructured financial data into clean, queryable datasets used by major financial institutions.

They’re looking for a Data Infrastructure Engineer to own data pipelines end-to-end — from ingestion and transformation through to delivery — while working closely with AI agents and LLM-powered workflows.

What you’ll be doing 👇

• Building and scaling production-grade data pipelines handling large volumes of messy, unstructured data

• Designing ingestion, transformation, storage, and delivery systems end-to-end

• Working with AI agents and LLM workflows for document extraction and data processing

• Improving reliability, observability, and data quality across the platform

• Helping shape the architecture of an AI-native data platform from an early stage

What they’re looking for 🧠

• Experience building and owning production data pipelines

• Strong Python engineering skills

• Experience working with unstructured data at scale

• Exposure to AI agents, LLMs, or orchestration workflows in production

• Background in fintech, market data, or similar high-trust environments is a plus

• Engineers who care deeply about data quality and correctness

Tech ⚙️

• Python

• Async systems / queues / web scraping

• Postgres / SQLite

• AI agents & LLM workflows

• Data pipelines & infrastructure

Why it’s interesting 💡

• High ownership from day one

• Strong mix of AI infrastructure + data engineering

• Real-world financial datasets with meaningful complexity

• Small, highly technical team with strong traction

• Opportunity to grow into a broader platform / technical leadership role