Full-Time Data Engineer

We are looking for a Data Engineer who can build reliable data pipelines, automate data flows, and support our financial systems and AI-powered tools. This role is highly technical and is ideal for someone who loves working with APIs, databases, and automation.

Key Responsibilities:
Write advanced MongoDB aggregation pipelines to structure and analyze complex datasets.
Develop Python scripts to retrieve data from REST APIs, including authentication, pagination, and error handling.
Build Python-based data loaders to push data into databases such as MongoDB, Postgres/Supabase, or Google Sheets.
Apply prompt engineering techniques to improve AI-assisted workflows, data transformations, and automation logic.

Required Skills:
Strong experience writing MongoDB Aggregations
Proficiency in Python, especially for API calls and data processing
Ability to push data to databases and external systems using Python scripts
Prompt Engineering experience (ChatGPT, LLM-based workflows, etc.)

Nice-to-Have Skills:
Experience with browser automations (Playwright, Puppeteer, Browserbase, etc.)
Experience with n8n automations, workflows, and integrations