Junior Data Engineer

Greystar is a global real estate platform offering property management, investment management, development, and construction services in rental housing. The Junior Data Engineer supports the development, maintenance, and optimization of data solutions, including data pipelines, data quality, reporting, analytics, and Azure-based data services. The role collaborates with engineers, analysts, data scientists, and business stakeholders while contributing to troubleshooting, documentation, governance, and project delivery.

Responsibilities:

• Assist in the development, testing, and maintenance of data pipelines and data integration processes
• Support the collection, transformation, and loading of data from various source systems
• Perform data profiling and basic source system analysis to identify data quality issues and improvement opportunities
• Write, maintain, and optimize SQL queries and data transformation logic
• Help validate data accuracy, completeness, and consistency across systems
• Participate in troubleshooting and resolving data-related issues and production support requests
• Assist in creating and maintaining source-to-target mapping documentation and technical specifications
• Support data warehouse and reporting initiatives through data preparation and validation activities
• Monitor data processes and report performance or quality concerns to senior team members
• Contribute to the implementation of Azure-based data solutions and services
• Follow established DevOps, CI/CD, and data governance practices
• Collaborate with data engineers, analysts, data scientists, and business stakeholders to support project delivery
• Document processes, workflows, and technical solutions
• Continuously develop technical skills and stay informed of emerging data technologies and best practices
• Perform other duties as assigned

Requirements:

• • 0-3 years of experience in data engineering, software development, data analytics, or a related technical field
• • Basic understanding of database concepts, data structures, and data integration techniques
• • Familiarity with SQL and relational databases
• • Experience with Python, PowerShell, or another scripting language
• • Strong analytical and problem-solving skills
• • Ability to communicate effectively and collaborate within a team environment
• • Eagerness to learn new technologies and data engineering best practices
• • SQL query development and data analysis
• • Basic Python or PowerShell scripting
• • Understanding of data quality and data validation techniques
• • Knowledge of data governance and security best practices
• • Strong organizational skills and attention to detail
• • Ability to manage multiple priorities in a fast-paced environment
• • Masters Degree in Computer Science, Information Systems, Information Technology, Data Analytics, Mathematics, Engineering, or a related field preferred
• • Exposure to cloud platforms such as Microsoft Azure
• • Familiarity with ETL/ELT concepts and data pipeline development
• • Basic knowledge of data warehousing concepts and dimensional modeling
• • Experience with Git or other version control tools
• • Exposure to DevOps and CI/CD methodologies
• • Experience with reporting or visualization tools such as Power BI
• • Internship, co-op, academic project, or professional experience involving data management or analytics
• • Familiarity with Azure Data Factory, Azure Synapse Analytics, Databricks, or similar technologies is a plus