The Python Engineer - Data Applications will lead the development of data applications focused on data engineering, data analysis and visualization. The ideal candidate will be responsible for designing, developing, and maintaining Python-based applications and systems that are scalable, efficient, and reliable. They should have a strong understanding of Python frameworks, RESTful APIs, and data handling, with a passion for writing clean, maintainable code.
Responsibilities
- Architect and develop Python-based data applications for data analysis and machine learning leveraging libraries
- Design and implement efficient algorithms and data structures for handling large volumes of data
- Collaborate with data scientists, data architect, Software developer and other stakeholders to understand requirements and translate them into technical solutions
- Build and integrate RESTful APIs with front-end and third-party services
- Integrate data from various sources, including geospatial databases, APIs, and file formats such as CSV, Shapefiles, and more
- Write clean, maintainable, and well-documented code, following best practices and coding standards
- Conduct code reviews and provide constructive feedback to team members
- Stay up-to-date with advancements in data analysis techniques and technologies, and propose innovative solutions to enhance the application
- Troubleshoot and debug existing applications to improve performance and usability
- Develop and maintain CI/CD pipelines and automated testing frameworks
- Document code, systems, and development processes
Qualifications
- 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
- Proficiency in Python programming and familiarity with libraries such as NumPy, GeoPandas, and ArcGIS
- Knowledge of web development frameworks for building RESTful APIs (e.g., FastAPI)
- Experience with version control systems, preferably Git
- Excellent problem-solving and analytical skills, with the ability to tackle complex spatial data challenges
- Effective communication skills and the ability to collaborate with multidisciplinary teams.
- Familiarity with Machine Learning platforms (e.g., AWS SageMaker) and containerization technology
- Experience with relational databases (e.g., SQL Server) and NoSQL databases (e.g., MongoDB, Redis)
- Knowledge of software engineering principles, design patterns, and best practices
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Ventas, Inc. offers a competitive compensation and benefits package to the successful candidate.
Ventas, Inc. is an Equal Opportunity Employer.
Ventas, Inc. does not accept unsolicited resumes from staffing agencies, search firms or any third parties.
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What We Do
For more than two decades, Ventas, Inc., an S&P 500 company and one of the world’s foremost Real Estate Investment Trusts (REIT), has operated as the premier capital provider to leading senior living, healthcare operators and research institutions. With more than $36 billion of investments under our belt, we own communities where patients and their families receive health and healing; where world class researchers discover treatments for disease; and where seniors live with dignity.
Thanks to our financial strength and liquidity, our stock and robust dividend provides secure retirement savings and income to pensioners, firefighters, teachers and individuals around the world.
We take our ESG (Environment, Social & Governance) commitments seriously. We’ve set meaningful ESG goals aligned to three pillars – People, Performance, Planet - emphasizing strong corporate governance; encouraging community engagement through social and financial support to communities where we live and work; and minimizing our environmental impact by protecting the planet while lowering operating costs and improving portfolio efficiency.
We're honored to receive many external recognitions for our efforts: Ventas was named to the Dow Jones Sustainability World Index for the first time in 2019 and received Nareit’s 2019 Health Care Leader in the Light award for the fourth time. We were the first REIT to sign the CEO Action for Diversity & Inclusion and are a “Winning Company” on the 2020 Women on Boards Gender Diversity Index recognizing our 30% female Board. Our CEO, Debra A. Cafaro, is a leader widely-acclaimed for her strategic vision, and is ranked #29 in Harvard Business Review’s CEO 100, one of only 14 global CEOs named to HBR’s list consistently since 2014.
Our team is what truly differentiates us – our winning competitive edge is due to a rare combination of drive and skill and a commitment to excellence that fuels everything we do.