Senior Data Engineer - Apartments.com

We are looking for a Senior Data Engineer to help accelerate the growth of Apartments.com. This role will be responsible for building out sitewide tracking architecture and feeding data into user-friendly KPI dashboards. The individual will help build and deliver the data engineering architecture for Apartments.com and work across all departments to provide analysis and insights for future growth.

What You Will Do

Design and oversee implementation of dimensional modeling, database design, and cloud data platform structures. Develop data platform framework to build secure data warehouses and data lakehouses. Design, develop, and maintain scalable data pipelines and ETL processes.

Why It Might Be a Fit

This role requires a strong proficiency in Python, PySpark, and SQL, as well as experience with cloud-based databases and business intelligence software. The ideal candidate will have a proven record of designing and implementing Enterprise Level secure and accurate Data platforms.

Requirements

• Bachelor's degree required from an accredited, not-for-profit, in-person college/university
• 6+ years of hands-on experience in software development, delivering high-quality solutions
• Strength in Data Engineering, with strong proficiency in Python, PySpark, and SQL
• Solid foundation in Object-Oriented Programming principles and best practices
• Demonstrated success in building and launching data-driven products operating at terabyte scale
• Proven record of designing and implementing Enterprise Level secure, and accurate Data platform
• Ability to translate technical requirements into robust architecture, data models, and ETL strategies
• Practical experience with cloud-based databases, including both relational and non-relational systems
• Knowledge of business intelligence software (i.e. Power BI or similar tools)
• Understanding of AI technologies and hands-on experience leveraging AI tooling in development
• Ability to retrieve, synthesize, and present critical data in structures that is immediately useful to answering specific ad-hoc questions
• Hands-on data experience on optimization, data quality checks, data accuracy and query performance improvement

Benefits

• Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
• Life, legal, and supplementary insurance
• Virtual and in person mental health counseling services for individuals and family
• Commuter and parking benefits
• 401(K) retirement plan with matching contributions
• Employee stock purchase plan
• Paid time off
• Tuition reimbursement
• On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes
• Access to CoStar Group’s Diversity, Equity, & Inclusion Employee Resource Groups
• Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks