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Python Engineer - Data Applications
Ventas, Inc.
Leading S&P 500 real‑estate trust enabling senior living, outpatient medical, research and healthcare facilities.
Design, develop, and maintain Python-based data applications for data engineering and analysis.
Write clean, maintainable, and well-documented code, following best practices and coding standards
Integrate data from various sources, including geospatial databases, APIs, and file formats such as CSV, Shapefiles, and more
Build and integrate RESTful APIs with front-end and third-party services
Document code, systems, and development processes
Troubleshoot and debug existing applications to improve performance and usability
Architect and develop Python-based data applications for data analysis and machine learning leveraging libraries
Collaborate with data scientists, data architect, Software developer and other stakeholders to understand requirements and translate them into technical solutions
Conduct code reviews and provide constructive feedback to team members
Design and implement efficient algorithms and data structures for handling large volumes of data
Develop and maintain CI/CD pipelines and automated testing frameworks
Stay up-to-date with advancements in data analysis techniques and technologies, and propose innovative solutions to enhance the application
What you bring
git
python
problem solving
6-8 years
bachelor's degree
relational databases
Experience with version control systems, preferably Git
Experience with relational databases (e.g., SQL Server) and NoSQL databases (e.g., MongoDB, Redis)
Effective communication skills and the ability to collaborate with multidisciplinary teams.
Proficiency in Python programming and familiarity with libraries such as NumPy, GeoPandas, and ArcGIS
Excellent problem-solving and analytical skills, with the ability to tackle complex spatial data challenges
Knowledge of web development frameworks for building RESTful APIs (e.g., FastAPI)
Knowledge of software engineering principles, design patterns, and best practices
Familiarity with Machine Learning platforms (e.g., AWS SageMaker) and containerization technology
Bachelor’s degree in Computer Science or equivalent degree with experience
6-8 years of experience working as a Python Engineer with a focus on data engineering and data analysis
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