Senior Data Engineer (Homes.com)

Senior Data Engineer (Homes.com)

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Job Description

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OverviewCoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We’ve continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. Homes.com OverviewHomes.com is already one of the fastest growing real estate portals in the industry, we are driven to be #1. Just ask Brad Bellflower, Chief Change Officer at Apartments.com. After its acquisition in 2014, Apartments.com quickly turned into the most popular place to find a place. Proven success at the highest level – and we’re doing it again with the new Homes.com. Homes.com is a CoStar Group company with 20+ years' experience in leading and growing digital marketplaces. We pride ourselves on continually improving, innovating, and setting the standard for property search and marketing experiences. With Homes.com we’re building a brand on the cusp of defining the industry. We’re looking for big thinkers, brave leaders, and creative advertising wizards ready to influence a new age of homebuying within a tried-and-true, award-winning company. Learn more about Homes.com. Homes.com is growing quickly and we’re looking for a Senior Data Engineer to help accelerate our growth. This role will be responsible for helping build out sitewide tracking architecture on Homes.com, and then feeding that data into user-friendly KPI dashboards which track site performance and product usage and provides day to day insights on consumer behavior. You will engineer various aspects of our data management, ranging from designing and maintaining automated data infrastructure and creating BI solutions to facilitating data access and analysis for key company teams.This position is located in Washington, DC and offers 3 days a week onsite with 2 days remote.Responsibilities

• Design, build, test, deploy and maintain real-time and batch processed Data pipelines.
• Developing and maintaining data storage and retrieval systems.
• Ensuring data accuracy, consistency, and security.
• Integrating data from multiple source systems.
• Developing and maintaining data models.
• Developing and maintaining ETL/ELT processes.
• Collaborating with analytics team, data scientists and business analysts to ensure that data is available and accessible.
• Collaborating with other cross-functional engineering teams.
• Becoming a trusted team member in matters of technical architecture, workflow, design and code.
• Advocating for evolution and improvement - both technical and non-technical - within our teams. Includes new tech, tools and best practices

Basic Qualifications

• Bachelor’s Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, or related field. MSc or PhD is a plus.
• A track record of commitment to prior employers.
• A demonstrable record of accomplishment of building and launching successful products that use terabytes of data.
• 5+ years of data pipeline engineering experience, and deep database engineering experience.
• Ability to analyze technical requirements and design new architectures, data models and ETL/ELT strategies
• Hands-on experience with cloud-based relational and non-relational databases and proficiency in SQL.
• Deliver work products that meet specifications, are free of defects, with excellent performance.
• Define Architecture and Development best practices.

Preferred Skills

• Proficiency in programming languages such as Python, R, and SQL.
• Performance tuning of database queries (Snowflake, Databricks) .
• Proficiency in data modeling techniques.
• Ex