Capital Markets Analytics & Data Engineering Intern

Freddie Mac; McLean (VA); On-site; USD 54,000 - 82,000; Full time

Job summary

Freddie Mac's Capital Markets Data & Execution Enablement team is seeking a Capital Markets Software & Data Engineering Intern. You will gain hands-on experience building production-grade tools, data pipelines, and automation using Python and Snowflake, supporting Freddie Mac's securitization and CRT platforms.

You will collaborate in an agile environment, applying robust software engineering practices, version control with Git, testing, and documentation to deliver auditable data solutions for

Qualifications

• Pursuing a Bachelor's degree in Computer Science, Software Engineering, Data Science, Applied Mathematics, Information Technology, or a related technical/quantitative discipline.
• Expected graduation date of May 2028.
• Strong foundation in computer science fundamentals, including object-oriented programming, data structures, algorithms, and database design.
• Strong Python skills (for data engineering, automation, or APIs) and familiarity with SQL.
• Exposure to or interest in using AI tools, digital collaboration platforms, or basic scripting to automate manual workflows.
• Familiarity with modern data platforms like Snowflake or cloud services (AWS) is a plus.
• Experience contributing to hackathons, personal coding projects, open-source initiatives, or technical class projects is highly valued.
• undefined

Responsibilities

• Develop Hands-on Automation: Assist in building and maintaining automation solutions across securitization and CRT workflows (e.g., data exception management, disclosure preparation, and pooling support).
• Build Modern Data Pipelines: Work with Snowflake and Python to help model, curate, and engineer data products that enable consistent definitions and trusted analytics.
• Utilize AI-Enabled Tools: Leverage AI-enabled developer tools and assistants to automate repetitive coding tasks, improve development efficiency, and enhance software quality while maintaining strong engineering judgment.
• Support Rules-Based Systems: Help implement and test deterministic rules engines and workflows where absolute precision, repeatability, and strict controls are required.
• Collaborate in an Agile Environment: Participate in Agile ceremonies (daily standups, sprint planning, retrospectives) and work closely with Capital Markets business partners to translate financial needs into software requirements.
• Practice Strong Engineering Standards: Learn and apply robust software engineering practices appropriate for business-owned tooling, including version control (Git), testing, documentation, and operational controls.

Skills

Python

SQL

Snowflake

Data structures

Algorithms

OOP

AI Tools

Education

Bachelor's degree (CS/SE/DS/etc.)

Tools

Git

Job description

Freddie Mac's Capital Markets Data & Execution Enablement team is seeking a Capital Markets Software & Data Engineering Intern. You will gain hands-on experience building production-grade tools, data pipelines, and automation using Python and Snowflake, supporting Freddie Mac's securitization and CRT platforms.

You will collaborate in an agile environment, applying robust software engineering practices, version control with Git, testing, and documentation to deliver auditable data solutions for