Job Overview
We are on the lookout for a skilled and experienced Senior Software Engineer to spearhead the development of an innovative data platform aimed at transforming real estate investment decisions. This remote opportunity centers on backend development, data collection and integration, as well as the formulation of machine learning algorithms to deliver predictive analytics and comprehensive market insights.
Key Responsibilities
- Design and implement automated systems for data scraping and aggregation from a variety of public and proprietary sources.
- Build and structure efficient data storage solutions to facilitate the analysis and reporting of large datasets.
- Develop and deploy machine learning algorithms for predictive analytics, including property valuation and tenant behavior forecasting.
- Architect scalable backend infrastructure to support real-time data processing and analysis.
- Create robust APIs and integration layers for seamless access to platform insights by internal teams.
- Generate automated reporting and visualization tools to provide actionable insights to key stakeholders.
- Continuously enhance data scraping, processing methods, and machine learning algorithms for improved accuracy and efficiency.
- Collaborate closely with leadership and third-party data providers to refine platform capabilities.
- Mentor junior engineers and guide them in their professional development as the team scales.
Required Skills
- Proficiency in programming languages such as Python, Java, or C#.
- Experience with web scraping frameworks, including Scrapy or BeautifulSoup.
- Strong understanding of machine learning frameworks, such as TensorFlow or PyTorch.
- Familiarity with cloud infrastructure and databases, including AWS, GCP, or Azure.
- Knowledge of RESTful APIs and microservices architecture.
- Exceptional problem-solving skills and a proactive mindset.
- Ability to collaborate effectively with cross-functional teams.
Qualifications
- Bachelor's or Master’s degree in Computer Science, Data Science, Software Engineering, or a related discipline.
- A minimum of 5 years in software engineering, with a strong emphasis on backend development and data engineering.
- Proven expertise in designing and deploying web scraping solutions and managing data acquisition processes.
- Experience in deploying machine learning models in production environments.
Career Growth Opportunities
Join our team and benefit from professional development opportunities within a dynamic organization poised for rapid growth. Engage in high-impact projects that will not only enhance your skill set but also significantly influence investment strategies and decisions.
Company Culture And Values
We pride ourselves on fostering a collaborative and inclusive work environment where innovative thinking is encouraged. Our commitment to diversity and professional excellence is reflected in our approach to talent development and team collaboration.
Compensation And Benefits
- Competitive salary with performance-based incentives.
- Comprehensive health and wellness benefits.
- Flexible working arrangements supporting hybrid and remote work.
- Opportunities to work on transformative projects that shape the future of real estate investment.
If you are a dedicated software engineer with a passion for data and machine learning, and you are eager to contribute to impactful projects, we invite you to apply and join us in shaping the future of real estate investment.
Employment Type: Full-Time
