Data Engineer / Quantitative Developer
? What You’ll Do:
- Build and maintain pipelines to connect to APIs, pull financial data, and perform transformations (ETL)
- Work with time series data to analyze trading patterns and performance
- Develop lightweight internal tools with Streamlit or similar frameworks
- Model data using Pandas, Polars, DBT, or R
- Use SQL for analysis, extraction, and model prep
- Collaborate with a distributed team using AWS, Snowflake, or Databricks

? Ideal (Not All Required):
- Solid Python development background
- Experience with SQL
- Familiarity with Streamlit, DBT, Polars/Pandas, or R
- Experience with time series data and financial analytics is a big plus
- Exposure to Snowflake, Databricks, or AWS

? Compensation & Work Style:
? Starting from $4,000 USD/month, negotiable depending on experience and skillset
? Fully remote.
? Flexible hours — outcome and ownership over micromanagement
? Opportunity to grow with a long-term, stable project tied to a top-tier hedge fund

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