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Real Estate Sql Python Jobs (NOW HIRING)

Evergreen Real Estate Group

IT Technical Lead

Chicago, IL · Hybrid

$110K - $120K/yr

IT Technical Lead Hybrid position with Evergreen Real Estate Group in Chicago, IL 60661 Overview ... Develop and maintain automation scripts (PowerShell, Python, SQL) to improve operational efficiency ...

1872 Consulting

Equity Portfolio Analyst

Los Angeles, CA

$95K - $100K/yr

... real estate exposure preferred. Advanced Excel modeling (build/maintain complex models, automate recurring reporting). Familiarity with data tools (SQL/Python/Power BI/Tableau) and with ARGUS/CRE ...

Evergreen Real Estate

IT Technical Lead

Chicago, IL · On-site

$110K - $120K/yr

... Real Estate Group, an affordable housing organization managing 130+ properties serving 15,000 ... Develop and maintain automation scripts (PowerShell, Python, SQL) to improve operational efficiency ...

Realtor.com

Sr. Data Scientist, Product

Austin, TX · On-site

Realtor.com is the No. 1 site trusted by real estate professionals, connecting buyers, sellers, and ... SQL, Python, Tableau, and Amplitude (or similar analytics tools) • Experience with AI enabled ...

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How much do real estate sql python jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for real estate sql python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Real Estate Data Analyst specializing in SQL and Python, and why are they important?

To excel as a Real Estate Data Analyst with a focus on SQL and Python, you need strong analytical skills, experience in real estate market dynamics, and a relevant degree in data science, economics, or a related field. Expertise in SQL for database management, Python for data analysis and automation, and familiarity with real estate management platforms are typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting data and presenting insights to stakeholders. These competencies enable professionals to drive data-informed decisions, optimize investments, and provide actionable recommendations in the fast-paced real estate industry.

How does a Real Estate SQL Python professional typically collaborate with other teams within a real estate company?

As a Real Estate SQL Python professional, you will frequently collaborate with data analysts, property managers, and business development teams. Your main responsibility is to manage, analyze, and extract insights from large real estate databases using SQL and Python, which supports decision-making across departments. Effective communication is key, as you'll translate technical findings into actionable business recommendations and often participate in cross-functional meetings to align data solutions with business goals. This collaborative approach not only enhances the accuracy of market analyses but also improves the efficiency of property management and client outreach strategies.

What are Real Estate SQL Python jobs?

Real Estate SQL Python jobs refer to positions that require expertise in managing, analyzing, and interpreting real estate data using SQL databases and Python programming. Professionals in these roles often work with large datasets related to property listings, transactions, and market trends, using SQL for data extraction and manipulation, and Python for data analysis, automation, and reporting. These jobs are common in real estate technology companies, brokerages, and investment firms that rely on data-driven decision-making.

What is the difference between Real Estate Sql Python vs Real Estate Data Analyst?

AspectReal Estate Sql PythonReal Estate Data Analyst
Required SkillsSQL, Python, data analysis, real estate knowledgeData analysis, Excel, SQL, real estate understanding
Work EnvironmentData teams, real estate firms, tech companiesReal estate agencies, investment firms, consulting
CertificationsSQL, Python certifications, real estate licenses (optional)Data analysis certifications, real estate licenses (optional)

Real Estate Sql Python roles focus on leveraging SQL and Python to analyze real estate data, often requiring technical certifications. Real Estate Data Analysts also analyze property data but may use a broader set of tools like Excel and focus more on reporting and insights. Both roles are vital in the real estate industry but differ in technical depth and toolsets.

Infographic showing various Real Estate Sql Python job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Data Scientist (SQL, Python, Java Script) |Sunnyvale, CA

Data Scientist (SQL, Python, Java Script) |Sunnyvale, CA

Samprasoft

Sunnyvale, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Scientist

Design and build new data set processes for modeling, data mining, and production purposes. Determine new ways to improve data and search quality, and predictive capabilities.

Perform and interpret data studies and product experiments concerning new data sources or new uses for existing data sources.

Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis. Programming skills in one of the following languages: Java, Scala, C/C++. Knowledge of one of the scripting languages such as Python or Perl.

Experience analyzing and interpreting the results of product experiments. Knowledge of statistical languages such as R.

Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, or Spark). Working knowledge of Relational Data Base Systems and SQL.

Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set.

Excellent communications and organizational skills. Prior experience in this area with ecommerce or Online Retail would be a plus.

Minimum Qualifications PhD in Computer Science, Statistics or related field; OR a Master’s degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience. Knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field.

Data analysis (exploring data sources, conducting data analysis in reporting utilizing graphs)

Building predictive modeling in Python or JavaScript

Real time implantation of models that they build

Utilizing data analysis for predictive models to analyze fraudulent behavior.

Can conduct data analysis in SQL and Python

Can summarize and communicate results to the business

Experience building predictive models in Python

Experience implementing real-time modeling in production environment in JavaScript

2+ years of experience

Efficiency/speed

Can translate a business question into a clear analytics plan

Has been involved in a fraud detection project in the past

Has built anomaly detection or predictive models in the past

Retail or Finance background is a plus

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