Data Engineer, Quant Dev (Time Series, Python, APIs)

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