Software Engineering / Data Science Intern

Summary: BSI Financial Services is transforming mortgage servicing by modernizing legacy systems, and they are seeking a Software Engineering Intern to contribute to this initiative. The intern will work on developing a scalable MVP, building user interfaces, and optimizing data pipelines while collaborating with data engineers and analysts. Responsibilities: - Take product requirements or a PM-built POC and engineer a scalable, production-quality MVP - Build and iterate on user-facing interfaces: web apps, dashboards, internal tools — using AI-assisted coding tools throughout - Develop and optimize data pipelines, ETL processes, and integrations on Databricks using dbt and PySpark - Build and refine AI agents to automate complex operational workflows - Work closely with data engineers and analysts to ensure data quality, pipeline reliability, and model integration - Collect rapid user feedback, iterate on UX, and push features through testing to production - Document technical architecture, APIs, and data flows for handoff to full-time engineering - Participate in code reviews, sprint planning, and agile ceremonies Required Qualifications: - Currently pursuing a Bachelors (or Masters) degree in Computer Science, Software Engineering, AI/ML, Data Science, or equivalent technical field - Demonstrated technical portfolio: GitHub repos with meaningful commits, a deployed project, hackathon work, or open-source contributions - Strong Python skills; experience with SQL and data manipulation - Experience building and deploying something end-to-end — not just tutorials - Fluency with AI coding tools (Claude Code, Copilot, Cursor) as a core part of your workflow - Ability to debug independently and ship fast under ambiguity Preferred Qualifications: - Experience with Databricks, PySpark, or dbt for data engineering - Hands-on experience building LLM-powered applications or AI agents - Frontend development experience (React, TypeScript, or rapid prototyping tools) - Exposure to cloud platforms (Azure, AWS, or GCP) - Prior internship or project experience in fintech, banking, or enterprise software Required Skills: Python, SQL, Databricks, PySpark, dbt, AI coding tools - Claude Code, AI coding tools - GitHub Copilot, AI coding tools - Cursor, LLM APIs - Anthropic, LLM APIs - OpenAI, Prompt engineering, Agent frameworks, React, Streamlit, Retool, Azure Data Factory, Azure DevOps, GitHub, Jira