Analytics Data Engineer II - Homes.com - Arlington, VA

CoStar Group•Arlington, VA

3d•Hybrid

About The Position

CoStar Group is seeking an Analytics Data Engineer II to join the Homes.com team. This role involves designing and scaling end-to-end data infrastructure, transforming raw data into high-quality datasets for internal insights and customer-facing products. The position requires partnering cross-functionally to define data strategy, build reliable pipelines, and deliver scalable BI solutions for self-service analytics and data-driven decision-making. It also supports advanced data initiatives like productionizing machine learning models and enhancing user experience through data-driven insights. The role emphasizes a willingness to learn, adopt, and apply AI technologies responsibly. This position is located in Arlington, VA, with an in-office schedule Monday through Thursday and remote work on Fridays.

Requirements

Bachelor’s Degree from an accredited, not for profit, in-person university or college.
A track record of commitment to prior employers
3+ years of experience with SQL, Python, PySpark, data warehousing, and business intelligence tools
2+ years of experience with data engineering tools, pipeline creation and management
Experience with cloud computing platforms and data warehouse solutions such as AWS, Azure, Databricks, Snowflake, and Microsoft SQL Server
Experience working with data visualization tools such as Tableau, Looker, or PowerBI.
Strong analytical and problem-solving skills
Understanding of AI technologies and hands-on experience leveraging AI tooling in development (Claude Code, GitHub Copilot, Cursor, Gemini, Grok)
Strong written and verbal communication and stakeholder management skills

Nice To Haves

Experience with Google Analytics
Experience working with large consumer datasets to drive insights and create models
Experience working with product and tech teams
Familiarity with large language models (LLMs), prompt engineering, or agent-based architectures
Great analytical and problem-solving skills, with the ability to tackle complex technical challenges
Ability to understand technical challenges and complex designs, and communicate into simple business ideas, or solutions with senior management/stakeholders
Background in the residential or commercial real estate industry

Responsibilities

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.
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.
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.
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.
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.
Lead business analysis in support of strategic business development – work with stakeholders to help them access, analyze, and interpret data and understand business implications.
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.
Apply analytical and data science techniques to curate datasets and develop models that power the Homes.com front-end experience.
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.

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 Employee Resource Groups
Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks