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Real Estate Data Mining Jobs (NOW HIRING)

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Partner (Real Estate)

Washington, DC

$500K/yr

Open (aligned with candidate's expertise and book of business) - M&A, Real Estate, Data Center, Energy, Infrastructure, and more About the Role: A high-performing boutique law firm is seeking ...

Cruitin

Partner (Real Estate)

Los Angeles, CA · On-site

$500K/yr

Open (aligned with candidate's expertise and book of business) - M&A, Real Estate, Data Center, Energy, Infrastructure, and more About the Role: A high-performing boutique law firm is seeking ...

Cruitin

Partner (Real Estate)

Dallas, TX

$500K/yr

Open (aligned with candidate's expertise and book of business) - M&A, Real Estate, Data Center, Energy, Infrastructure, and more About the Role: A high-performing boutique law firm is seeking ...

Cruitin

Partner (Real Estate)

Manhattan, NY

$500K/yr

Open (aligned with candidate's expertise and book of business) - M&A, Real Estate, Data Center, Energy, Infrastructure, and more About the Role: A high-performing boutique law firm is seeking ...

Cruitin

Partner (Real Estate)

Miami, FL · On-site

$500K/yr

Open (aligned with candidate's expertise and book of business) - M&A, Real Estate, Data Center, Energy, Infrastructure, and more About the Role: A high-performing boutique law firm is seeking ...

Crown Homes Real Estate

Real Estate Agent

Lewes, DE · On-site

Crown Homes Real Estate: Where Ambitious Agents Grow Are you ready to take your real estate career ... Leads Provided: Access to quality buyer and seller data to jumpstart your pipeline. * Strong ...

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Real Estate Data Mining information

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How much do real estate data mining jobs pay per year?

As of Jun 9, 2026, the average yearly pay for real estate data mining in the United States is $69,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $85,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Real Estate Data Mining Specialist, and why are they important?

To thrive as a Real Estate Data Mining Specialist, you need strong analytical abilities, knowledge of real estate markets, and proficiency in data interpretation, usually supported by a degree in data science, statistics, or a related field. Familiarity with data mining tools such as SQL, Python, Excel, and real estate databases is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for translating data insights into actionable business strategies. Mastery of these skills ensures accurate, data-driven decisions that can give real estate firms a competitive edge.

What is real estate data mining?

Real estate data mining is the process of collecting, analyzing, and interpreting large volumes of data related to real estate markets, properties, and transactions. By leveraging advanced statistical methods, machine learning, and data analytics tools, professionals in this field uncover patterns, trends, and insights that help inform decisions on property valuation, investment opportunities, risk assessment, and market strategies. Data sources can include property listings, transaction records, demographic data, and economic indicators to provide a comprehensive view of real estate markets.

What are some common challenges faced when mining real estate data and how can they be addressed?

One of the main challenges in real estate data mining is ensuring data accuracy and consistency, as property information can often be incomplete or outdated across different sources. Additionally, integrating data from various platforms—such as MLS databases, public records, and third-party listings—requires careful validation and cleaning to avoid errors. To address these challenges, professionals often use automated data validation tools, cross-reference multiple sources, and collaborate closely with IT and data management teams to maintain high data quality standards.
Infographic showing various Real Estate Data Mining job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $69,999 per year, or $33.7 per hour.

Entry-Level Real Estate

Wannebo Real Estate Group

San Diego, CA • On-site

Full-time

Posted 2 days ago

Job description

Description
Entry Level Real Estate Opportunity
Who you work with matters.
We are looking for a newly licensed real estate agent who wants to learn to build momentum early within a structured team environment while earning rewarding commissions. This opportunity is a strong fit for someone who wants guidance, accountability, and daily activity while developing confidence and consistency in real estate.
In this opportunity, you will learn how to work within proven systems that support conversations, appointments, follow-up, and client communication. Rather than trying to figure everything out alone, you will be surrounded by active agents and leadership who help you stay focused on productive habits that can lead to early production.
You will gain hands-on experience throughout the real estate process, from prospecting and relationship building to negotiations and closing coordination. The environment is collaborative, fast paced, and centered around helping motivated agents create consistency while continuing to grow long-term skills within real estate.
Interested? Apply now.
Responsibilities
• Engage with new leads and convert them into appointments
• Follow up consistently with potential buyers and sellers
• Learn and apply team systems for lead generation and client care
• Attend training sessions and team meetings for continued growth
• Manage client data within the CRM to keep communication organized
• Support client relationships through calls, texts, and emails
• Participate in open houses and client events to build your network
Qualifications
• Active California Real Estate License
• Strong communication and organizational skills
• Sales or customer service background preferred
• Valid driver's license and reliable transportation
• Positive, coachable, and goal-oriented mindset

Apply