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

CoStar Group is a provider of real estate information, analytics, and online marketplaces, and Homes.com is its digital real estate marketplace. The Analytics Data Engineer II will design and scale data infrastructure, build reliable pipelines and curated datasets, and develop BI solutions for analytics and customer-facing products. The role also supports data quality, self-service analytics, and productionizing machine learning and LLM-based use cases.

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

Preferred

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

Google Analytics

Consumer Data Analysis

Large-Scale Datasets

Insight Generation

Model Development

Large Language Models

Prompt Engineering

Agent-Based Architectures

Technical Design Comprehension

Business Solution Development

Real Estate Industry Experience

Analytical Thinking

Technical Problem-Solving

Stakeholder Communication

Complex Concepts Simplification

Cross-Functional Collaboration

Benefits

Performance-based incentives

Internal training

Tuition reimbursement

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

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

In office Monday through Thursday and work from home on Friday

Company

Real estate portal for homes, apartments, and land listings

Richmond, Virginia, USA

https://www.homes.com/

Founded in 1997

501-1000 employees

Qualifications

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

currently eligible to work full-time in the United States

CoStar Group is not able to provide visa sponsorship for this position

Currently eligible to work full-time in the United States

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

Required skills

SQL, Python, PySpark, Data Warehousing, Business Intelligence, Data Engineering, AWS, Azure, Databricks, Snowflake, Microsoft SQL Server, Power BI, Stakeholder Management

Preferred skills

Experience with Google Analytics, Experience working with product and tech teams

Experience

3+ years