Data Engineer Intern Winter Park, FL
Hillpointe, LLC, Winter Park, FL, United States
Key Responsibilities
Design, build, and maintain scalable, resilient data pipelines to ingest, transform, and distribute data across internal and external sources
Develop analytical data products and reporting solutions that translate complex datasets into actionable insights for cross‑functional stakeholders
Partner with the Power BI and Reporting team to validate data accuracy, enforce quality standards, and resolve discrepancies
Architect and implement database schemas aligned with business logic, optimizing for performance, scalability, and long‑term maintainability
Administer and maintain data warehouse environments, including access controls, security policies, and user permission management
Qualifications
Proficiency in Python or Rust for data ingestion, transformation, and integration across diverse sources and APIs
Strong SQL competency, including schema design, object and permission management, query optimization, and adherence to development best practices
Familiarity with Azure Data Factory and Microsoft Fabric/Power BI for orchestrating data pipelines and managing enterprise data warehouse environments
Self‑directed learner with strong communication skills and the ability to thrive in a fast‑paced, collaborative environment
Experience with cloud data engineering concepts and data science methodologies is highly preferred
Ability to engage with stakeholders to gather requirements, define data specifications, and deliver high‑quality data products
Knowledge of the multifamily real estate industry is a plus
Working knowledge of additional programming languages or frameworks such as Node.js, React, or TypeScript is a plus
Additional experience with Azure services and cloud infrastructure is a plus
Experience creating and developing reports and dashboards in Power BI is a plus
Familiarity and comfort with leveraging AI and AI‑powered tools to enhance workflows and accelerate development is a plus
#J-18808-Ljbffr
Design, build, and maintain scalable, resilient data pipelines to ingest, transform, and distribute data across internal and external sources
Develop analytical data products and reporting solutions that translate complex datasets into actionable insights for cross‑functional stakeholders
Partner with the Power BI and Reporting team to validate data accuracy, enforce quality standards, and resolve discrepancies
Architect and implement database schemas aligned with business logic, optimizing for performance, scalability, and long‑term maintainability
Administer and maintain data warehouse environments, including access controls, security policies, and user permission management
Qualifications
Proficiency in Python or Rust for data ingestion, transformation, and integration across diverse sources and APIs
Strong SQL competency, including schema design, object and permission management, query optimization, and adherence to development best practices
Familiarity with Azure Data Factory and Microsoft Fabric/Power BI for orchestrating data pipelines and managing enterprise data warehouse environments
Self‑directed learner with strong communication skills and the ability to thrive in a fast‑paced, collaborative environment
Experience with cloud data engineering concepts and data science methodologies is highly preferred
Ability to engage with stakeholders to gather requirements, define data specifications, and deliver high‑quality data products
Knowledge of the multifamily real estate industry is a plus
Working knowledge of additional programming languages or frameworks such as Node.js, React, or TypeScript is a plus
Additional experience with Azure services and cloud infrastructure is a plus
Experience creating and developing reports and dashboards in Power BI is a plus
Familiarity and comfort with leveraging AI and AI‑powered tools to enhance workflows and accelerate development is a plus
#J-18808-Ljbffr