Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Arlington, VA, US
Live, first seen by us 33 days agoThe 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: $102,000- 154,000 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.Read the full posting
Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply
Build automated, production data pipelines using SQL or Python for analysts and front-end products
Design warehouse tables, schemas and processes for reporting and product use cases
Set up data quality checks, validation rules and pipeline monitoring
Develop and maintain scalable Power BI solutions on curated data models
Partner with data science teams to productionize ML models and LLM use cases
design and build automated scripts using SQL or python to transform raw source data into datasets
Design warehouse architecture and infrastructure to support all business reporting needs.
Develop and implement data quality and pipeline monitoring procedures
Develop and maintain scalable BI solutions in Power BI, built on curated datasets and data models
Partner with Data Science and Machine Learning teams to productionize models
Bachelor’s Degree from an accredited, not for profit, in-person university or college.
3+ years of experience with SQL, Python, PySpark, data warehousing, and business intelligence tools
Understanding of AI technologies and hands-on experience leveraging AI tooling in development (Claude Code, GitHub Copilot, Cursor, Gemini, Grok)
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.
Experience with Google Analytics
401(K) retirement plan with matching contributions
Experience working with large consumer datasets to drive insights and create models
Experience working with product and tech teams
Basic Qualifications - Bachelor’s Degree from an accredited, not for profit, in-person university or college. - A track record of commitment to prior employers
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 33
Similar jobs usually come down between day 5 and day 54.
From 10,733 similar postings that came down. Coming down is not always a hire.
25 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
- 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
- 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.
- 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
- 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.
Complete your application on costar.eightfold.ai. The employer’s form will show what is required.
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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 an Analytics Data Engineer II 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
Basic Qualifications
Preferred Qualifications
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 and tuition reimbursement.
Our benefits package includes (but is not limited to):
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: $102,000- 154,000 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.
#LI-AV1
#Homes.com
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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: $102,000- 154,000 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.
Arlington, VA, US
- 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
Base Compensation: $102,000- 154,000 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. #LI-AV1
Base Compensation: $102,000- 154,000 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. #LI-AV1