Data Engineer Intern for Cornspring, an innovative FinTech start-up, to build and maintain ingestion pipelines and validation / reconciliation logic.
Requirements
- Undergraduate (junior/senior preferred) or graduate students in Computer Science, Data Science, or a related field.
- Experience designing, building, and maintaining data pipelines for large-scale data solutions.
- Good communication skills to collaborate with cross-functional teams - including data scientists, AI engineers, and business stakeholders - to deliver secure, high-performing data solutions.
Benefits
- Compensation: $20-30 per hour
- Hybrid working: three days per week in our Manhattan office.
- An opportunity to work at the forefront of AI-driven finance, tackling genuinely complex and high-impact challenges.
- Hands-on exposure to advanced ML, LLM, and data technologies within real production systems.
- A collaborative, high-ownership start-up environment offering exceptional learning opportunities.
- The chance to help shape the future of Family Office and Asset Management technology.