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Real Estate Sql Python Jobs (NOW HIRING)

Anywhere Real Estate

Director, Leads Insights

Chicago, IL · On-site +1

$187K - $212K/yr

... real estate agent and support from our concierge team. This position will report into the VP, ... Leverage Python and SQL to build data models, automate workflows, and perform advanced data ...

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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 Engineer SQL/Python/automation

Data Engineer SQL/Python/automation

Software Technology Inc

Woonsocket, RI • On-site

$109K - $131K/yr

Other

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

Job description

Analytics Engineering

Build data pipelines and partner with data scientists on ML/MLOps. Personalization for retail pharmacy (text/calls/SMS/emails) using business rules, AB testing, etc.

Databricks Spark Python NoSQL DBs Kubernetes SQL

Translating business requirements into clinical rules engines

Framework Development/Design à Capabilities

Transitioning from batch to real-time à batch to real time via microservices & Kafka.

Basic scripting commands – someone on the infra side will do this

No reporting for this team

Snowflake à nice to have (moving source data)

Snowpark as a replacement of Databricks

Kafka basics – just need to know basic services i.e. producer, consumer, streams etc.

You will collaborate with business partners to identify opportunities to leverage big data technologies in support of pharmacy personalization with a common set of tools and infrastructure to make analytics faster, more insightful, and more efficient. You will design highly saleable and extensible batch and real-time big data and cloud platforms which enables collection, storage, modeling, and analysis of massive data sets from numerous channels. You will define and maintain data architecture, focusing on applying technology to enable business solutions. You will assess and provide recommendations on business relevance, with appropriate timing and deployment. You will perform architecture design, data modeling, and implement CVS big data platforms and analytic applications. You will bring a DevOps mindset to enable big data and batch/real-time analytical solutions that leverage emerging technologies. You will develop prototypes and proof of concepts for the selected solutions, and implement complex big data projects. You will apply a creative mindset to a focus on collecting, parsing, managing, and automating data feedback loops in support of business innovation.

Required skills: • Strong in SQL and Python, with 3+ years hands-on coding experience with both • Experience building automated big data pipelines • Experience performing data analysis and data exploration • Experience working in an agile delivery environment • Strong critical thinking, communication, and problem solving skills • Experience with big data frameworks (i.e. Hadoop and Spark) • Experience with cloud-based platforms (i.e. Azure, GPC, AWS) • Experience with Snowflake and hands-on query tuning/optimization. • Experience working in multi-developer environment, using version control (i.e. Git) • Experience with orchestrating pipelines using tools (i.e. Airflow, Azure Data Factory) • Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions Kafka, Spark Streaming) • Experience with REST API/Microservice development using Python • Experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS) • Experience with technical solutioning and system architecture design • Experience partnering cross-functionally with other technical teams (i.e.

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