2027 Data Summer Intern

Description Technology: 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. About the Role: 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. Responsibilities: 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 What You’ll Learn: 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 Requirements: 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 Nice to Have (not required): Full-stack software or data development experience Familiarity with SQL, APIs, cloud platforms, or Git Interest in real estate, finance, or investment management