Senior
Senior Analytics Data Engineer - Homes.com
Senior Analytics Data Engineer - Homes.com
Job Description
CoStar 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, 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 Overview Homes.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.
Position Overview We are seeking a Senior Analytics Data Engineer to join our Homes.com team to design and scale end-to-end data infrastructure, transforming raw data into high-quality datasets that power both internal insights and customer-facing product experiences. This role partners cross-functionally to define data strategy, build reliable pipelines, and deliver scalable BI solutions that enable self-service analytics and data-driven decision-making. The position also supports advanced data initiatives, including productionizing machine learning models and enhancing user experience through data-driven insights.
CoStar is investing heavily in artificial intelligence to accelerate software delivery, improve platform observability, automate research and business workflows, enhance product experiences through intelligent agents and skills, and improve data quality across enterprise systems. Successful candidates will demonstrate a willingness to learn, adopt, and apply AI technologies responsibly to solve complex business and engineering challenges.
This position is located in Arlington, VA and is in office Monday through Thursday and work from home on Friday.
Responsibilities
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Own end-to-end design and deployment of automated data infrastructure – from defining initial data requirements and owning table/schema design to creating reliable, production data pipelines that power both internal analytics and customer-facing product experiences.
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Work with product and software engineering teams to define tracking strategy and data requirements; design and build automated scripts using SQL or python to transform raw source data into datasets for use in front-end business products and for analysts across the company.
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Develop and implement data quality and pipeline monitoring procedures to ensure accuracy and completeness of data, including validation rules, data audits, and resolution of data discrepancies.
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Design warehouse architecture and infrastructure to support all business reporting needs. Design tables, schemas, and processes that efficiently compile datasets that support both analytical and front-end use cases.
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Collaborate with product, marketing, and sales teams on projects to understand their data needs and provide them with the tools and resources they need to access and analyze data.
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Lead business analysis in support of strategic business development – work with stakeholders to help them access, analyze, and interpret data and understand business implications.
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Develop and maintain scalable BI solutions in Power BI, built on curated datasets and data models to enable self-service analytics and drive decision-making across product, marketing, and sales teams
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Apply analytical and data science techniques to curate datasets and develop models that power the Homes.com front-end experience.
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Partner with Data Science and Machine Learning teams to productionize models and scale advanced use cases, including applications of LLMs to synthesize user behavior and summarize engagement patterns.
Basic Qualifications
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Bachelor’s Degree in STEM or related field from an accredited, not for profit, in-person university or college.
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5+ years of experience with SQL, Python, PySpark, data warehousing, and business intelligence tools
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2+ years of experience with data engineering tools, pipeline creation and management
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Experience with cloud computing platforms and data warehouse solutions such as AWS, Azure, Databricks, Snowflake, and Microsoft SQL Server
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Experience working with data visualization tools such as Tableau, Looker, or PowerBI.
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Strong analytical and problem-solving skills
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Understanding of AI technologies and hands-on experience leveraging AI tooling in development (Claude Code, GitHub Copilot, Cursor, Gemini, Grok)
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Strong written and verbal communication and stakeholder management skills
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A track record of commitment to prior employers
Preferred Qualifications
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Experience with Google Analytics
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Experience working with large consumer datasets to drive insights and create models
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Experience working with product and tech teams
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Familiarity with large language models (LLMs), prompt engineering, or agent-based architectures
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Great analytical and problem-solving skills, with the ability to tackle complex technical challenges
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Ability to understand technical challenges and complex designs, and communicate into simple business ideas, or solutions with senior management/stakeholders
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Background in the residential or commercial real estate industry
What’s In It For You? When you join CoStar Group, you’ll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.
We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training, tuition reimbursement, and an inter-office exchange program.
Our benefits package includes (but is not limited to):
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Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
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Life, legal, and supplementary insurance
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Virtual and in person mental health counseling services for individuals and family
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Commuter and parking benefits
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401(K) retirement plan with matching contributions
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Employee stock purchase plan
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Paid time off
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Tuition reimbursement
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On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes
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Access to CoStar Group’s Employee Resource Groups
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Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks
The final salary or hourly rate offered for this role will fall within the range set forth below based on a variety of factors, including but not limited to, geographic location, skills, and competencies.
Base Compensation: $144,000- 187,000 Annually
We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. However, please note that CoStar Group is not able to provide visa sponsorship for this position.
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CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing
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