2027 Data Summer Intern

The Starwood Capital Global Technology team runs the firm’s technical operations, including hardware, software, and networking. The Data team plans, builds, and supports the engineering and business applications that help people across the firm do their work efficiently and securely.

The intern will join the Global Technology Data team and help design, build, and test data applications and automations used in real business workflows at a global real estate investment firm. Projects will cover asset management and acquisitions use cases, including engineering builds that focus on analytics, data pipeline work, and process automation. The program is built for learning. Interns will be paired with a mentor, meet regularly for coaching and code reviews, and take on more ownership as they build skills. No one expects you to arrive as an expert in data science or data engineering. We care more about curiosity, good judgment, and a willingness to experiment and learn from what doesn’t work.

Work with data engineers to build out automated ingestion and transformation pipelines

Collaborate with data scientists and analysts to deliver production-ready datasets for asset management and acquisitions use cases

Connect internal data warehouses to internal data sources, APIs, and business applications

Work with business stakeholders to understand their workflows, find automation opportunities, define requirements for new tools, and gather feedback on what you build

Attend team and project meetings, join code and design reviews, and contribute ideas to project teams

Learn and apply the firm’s standards for data security, governance, privacy, and responsible data use

How to design, build, and test data pipelines and machine learning models in an enterprise setting

How technology supports investment and operations work at a global real estate firm

Professional software practices: version control, code review, testing, and documentation

How to scope problems with business users and turn their needs into working solutions

Must be a 2028 college graduate

Preferably majoring in Computer Science, Data Science, Engineering, Quantitative Finance, or a related field

Proficiency in Python and SQL

Strong interest in data and business automation, shown through coursework, personal projects, hackathons or self-directed learning

Exceptional attention to detail and an analytical, problem-solving mindset

Strong interpersonal, organizational, verbal and written communication skills

Comfortable with ambiguity, receptive to feedback and eager to learn quickly

Full-stack software or data development experience

Familiarity with SQL, APIs, cloud platforms, or Git

Interest in real estate, finance, or investment management