Global Data Engineering Intern: Pipelines & Automation

Starwood Capital Group; New York (NY); Sur place; USD 17 000 - 30 000; Temps partiel

Avantages offerts par ce poste

Mentor program

Code reviews

Learning opportunities

Résumé du poste

Starwood Capital Group’s Global Technology Data team seeks a capable 2028 graduate to help design, build, and test data applications and automations used in real business workflows at a global real estate investment firm.

You will collaborate with data engineers and analysts on asset management and acquisitions use cases, focusing on analytics, data pipelines, and process automation while receiving mentorship and regular code reviews.

Qualifications

• Pursuing or having completed a degree in a relevant field with strong analytical skills.
• Demonstrated proficiency in Python and SQL through coursework or projects.
• Interest in data, automation, and building production-ready datasets.

Responsabilités

• 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 workflows, define requirements for new tools, and gather feedback
• Attend team meetings, join reviews, and contribute ideas to project teams
• Learn and apply data security, governance, and privacy standards

Connaissances

Python

SQL

Data analysis

Communication skills

Formation

B.S. in Computer Science, Data Science, Engineering or related field

Outils

Git

APIs

Cloud platforms

Jupyter

Description du poste

Starwood Capital Group’s Global Technology Data team seeks a capable 2028 graduate to help design, build, and test data applications and automations used in real business workflows at a global real estate investment firm.

You will collaborate with data engineers and analysts on asset management and acquisitions use cases, focusing on analytics, data pipelines, and process automation while receiving mentorship and regular code reviews.