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Software Engineering / Data Science Intern
BSI Financial Services —Irving, TX
- Seasonal
- Computer Science
- Office
- SQL
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Software Engineering / Data Science Intern

BSI Financial Services -
Irving, TX

Quick Apply

Job Details

Seasonal

Qualifications

AI models
Machine learning projects
SQL
Developer tools
Python
Database software proficiency

Full Job Description

Mortgage servicing runs on legacy systems. BSI is changing that — and we need engineers who can move fast. As a Software Engineering Intern, you will take a working proof-of-concept and push it to MVP, then work toward an enterprise-grade product. You will use vibe coding tools aggressively (Claude Code, Cursor, GitHub Copilot), build with modern data stacks, and ship real features to production pipelines. This is a hands-on, build-first role.

This is a summer internship. Strong performers may be considered for full-time roles.

What You'll Do

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

Tech Stack

Data & Pipelines: Databricks, PySpark, dbt, Azure Data Factory, SQL

AI/ML: Python, LLM APIs (Anthropic, OpenAI), prompt engineering, agent frameworks

Frontend/Internal Tools: React, Streamlit, Retool, v0, or equivalent

Dev Tools: GitHub, Azure DevOps, Jira, Claude Code, Cursor

Education and Experience

Must Have

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

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

Work Environment

This role routinely uses standard office equipment. Ability to sit for long periods of time is essential.

Position Type and Expected Hours of Work

This is a full-time internship position. Days and hours of work are Monday through Friday.

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