Senior Analytics Data Engineer - Homes.com

Visual Lease

Arlington (VA)

Hybrid

USD 144,000 - 187,000

Full time

7 days ago

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Benefits offered by this job

Health insurance

401(k) retirement plan

Tuition reimbursement

Paid time off

On-site fitness center

Job summary

CoStar Group’s Homes.com team seeks a Senior Analytics Data Engineer to design and scale end-to-end data infrastructure, transforming raw data into high-quality datasets powering internal insights and customer-facing product experiences.

You will collaborate with cross-functional teams to build reliable pipelines, define data strategy, and deliver scalable BI solutions; productionize models with ML/LLM integrations and improve data quality across enterprise systems.

Qualifications

5+ 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 (AWS, Azure, Databricks, Snowflake, SQL Server).
Experience with data visualization tools such as Tableau, Looker, or PowerBI.
Strong analytical and problem-solving skills and familiarity with AI tooling.

Responsibilities

Own end-to-end design and deployment of automated data infrastructure and production data pipelines.
Collaborate with product and software teams to define tracking strategy and data requirements; build data transformation scripts.
Develop data quality and pipeline monitoring procedures for data accuracy and completeness.
Design warehouse architecture, tables, schemas and processes to support analytical and front-end use cases.
Collaborate with marketing, sales, and product teams to understand data needs and deliver access to analytics.
Lead business analysis to help stakeholders access and interpret data and understand business implications.
Develop scalable BI solutions in Power BI on curated datasets to enable self-service analytics.
Apply analytics and data science techniques to curate datasets and power front-end experiences.
Partner with Data Science and ML teams to productionize models and scale advanced use cases including LLM applications.

Skills

SQL

Python

PySpark

BI tools

Analytical thinking

Education

Bachelor’s Degree in STEM

Tools

AWS

Azure

Databricks

Snowflake

SQL Server

Tableau

PowerBI

Job description

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.

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

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.

Basic Qualifications

Bachelor’s Degree in STEM or related field from an accredited, not for profit, in-person university or college.
5+ 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
A track record of commitment to prior employers

Preferred Qualifications

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

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.

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