Data Analyst / Data Engineer Intern
 Hillpointe | |
 United States, Florida, Winter Park | |
| 101 South New York Avenue (Show on map) | |
 Jan 23, 2025 | |
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Hillpointe is a fully integrated real estate development and investment management firm focused on developing market-rate workforce housing across the Sun Belt. Ranked at the top of NMHC's Builders and Development companies, our team ensures best-in-class execution. This position is more than just a job - it's a career-defining opportunity! At Hillpointe, you'll be part of a dynamic, innovative team that makes tangible impacts on day-to-day operations and contributes directly to overall success. Data Analyst / Data Engineer Intern Position Overview: As a Data Analyst / Data Engineer Intern, you will be involved in designing scalable data solutions, integrating diverse data sources, and delivering insights. This role provides exposure to data modeling, pipeline development, and cloud-based data architecture, perfect for someone eager to build both technical and analytical skills. Key Responsibilities Data Analysis & Reporting: - Collect, clean, and analyze large datasets from multiple sources. - Create and maintain dashboards, reports, and data visualizations. - Identify trends and insights to support data-driven decision-making. Data Engineering & Pipeline Development: - Collaborate with senior engineers to design, build, and maintain data pipelines and ETL processes. - Implement data quality checks and optimize performance. - Use version control systems (e.g., Git) to manage code changes. Data Architecture & Modeling: - Assist in designing and optimizing data storage solutions (e.g., data lakes, data warehouses). - Participate in creating and maintaining logical and physical data models. - Contribute to proof-of-concept initiatives exploring new data technologies. Collaboration & Documentation: - Work with cross-functional teams (Data Science, Product, Engineering) to meet data requirements. - Document technical processes, data flow diagrams, and architecture decisions. - Report progress and challenges to the team in regular updates. Qualifications Education: Pursuing or recently completed a Bachelor's/Master's degree in Computer Science, Data Science, Information Systems, or related field. Technical Skills: - Proficiency in SQL and at least one programming language (Python preferred). - Familiarity with Big Data frameworks (e.g., Spark, Hadoop) or cloud platforms (Azure). - Basic understanding of data modeling and database design principles. - Exposure to data architecture or system design is highly desirable. - Analytical Mindset: Strong problem-solving skills and attention to detail. - Collaboration & Communication: Good written and verbal communication skills. Comfortable working in a team environment. - Eagerness to Learn: Self-motivated and passionate about emerging data technologies. NOTE: This document outlines the general nature and level of work expected from individuals in this role. It's important to understand that this is not an exhaustive list of responsibilities, duties, and skills. Additional tasks or job functions that can be safely performed may be required as necessary by supervisory personnel. This flexibility in additional duties showcases the company's adaptability and encourages employees to be versatile. The employee is expected to adhere to all work rules, procedures, and policies established by the company, including, but not limited to, those contained in the employee handbook. | |