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Senior Data Engineer (Machine Learning & Software) - Remote | WFH

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 
Texas (USA), United States

Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, or a related discipline., Minimum of 5 years experience in software engineering, especially backend development., Strong foundation in web scraping solutions., Proficient in Python, Java, C#; experience with Scrapy or BeautifulSoup., Knowledge of machine learning frameworks like TensorFlow or PyTorch..

Key responsabilities:

  • Implement automated data scraping and aggregation solutions.
  • Construct efficient data storage frameworks for analysis.
  • Design and deploy predictive machine learning algorithms.
  • Develop scalable backend infrastructures for real-time processing.
  • Create robust APIs for essential platform insights.
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Get It Recruit- Real Estate Human Resources, Staffing & Recruiting XLarge https://www.get.it/
2 - 10 Employees
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Job description

Job Overview

We are looking for an accomplished and driven Senior Software Engineer specializing in Data and Machine Learning to spearhead the creation of an innovative data platform aimed at transforming real estate investment strategies. This position primarily emphasizes backend engineering, data collection and aggregation, alongside the development of advanced machine learning algorithms designed to deliver predictive analytics and comprehensive market insights.

Key Responsibilities

  • Conceptualize and implement automated data scraping and aggregation solutions to gather structured and unstructured information from a variety of public and proprietary sources.
  • Construct efficient data storage frameworks and architectures to facilitate the consolidation and organization of extensive datasets, enabling effective analysis and reporting.
  • Design and deploy machine learning algorithms for predictive market analytics, property valuation assessments, tenant behavior predictions, and scenario modeling.
  • Architect and develop scalable backend infrastructures to support real-time data processing, storage, and analytical operations.
  • Create robust APIs and integration layers to seamlessly connect internal systems and grant stakeholders access to essential platform insights.
  • Develop automated reporting and visualization instruments that furnish actionable insights to the investment, asset management, and business development teams.
  • Continuously enhance data scraping processes, machine learning algorithms, and overall system performance to ensure precision, efficiency, and scalability.
  • Collaborate closely with leadership, investment teams, and external data sources to refine project requirements and integrate relevant business contexts into the platform’s functionalities.
  • Provide mentorship and technical guidance to less experienced engineers as the team expands.

Required Skills

  • A strong foundation in designing and implementing web scraping solutions.
  • Proficiency in programming languages such as Python, Java, or C#, coupled with familiarity in web scraping frameworks like Scrapy or BeautifulSoup.
  • In-depth knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with deploying models in production environments.
  • Experience with cloud infrastructures (AWS, GCP, or Azure) and data storage technologies, including SQL, NoSQL, or cloud data warehousing solutions.
  • Understanding of RESTful APIs, microservices architectures, and real-time data processing pipelines.
  • Demonstrated ability to translate business requirements into technical specifications and collaborate effectively with multidisciplinary teams.
  • Strong analytical and problem-solving abilities, along with a growth mindset suitable for a dynamic, fast-paced setting.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, or a related discipline.
  • A minimum of 5 years' experience in software engineering, particularly in backend development and data engineering.
  • Proven experience in web scraping solution development and a solid grasp of data acquisition, cleansing, and structuring.

Career Growth Opportunities

Join a forward-thinking organization that values professional development and offers pathways for career advancement within a vibrant and rapidly growing environment.

Company Culture And Values

We foster an inclusive and collaborative culture that encourages creativity and innovation. Our commitment to excellence drives us to create impactful solutions in the real estate sector.

Networking And Professional Opportunities

Leverage extensive networking opportunities within our organization and the broader industry, facilitating collaboration and skill enhancement.

Compensation And Benefits

  • Competitive salary along with performance-based incentives.
  • Comprehensive health benefits package.
  • Flexible work environment with options for hybrid or remote work.
  • Opportunity to engage in high-impact projects influencing investment decisions.
  • Significant growth opportunities within a dynamic and rapidly expanding firm.

If you are a passionate software engineer excited about leveraging data and machine learning to create meaningful change, we invite you to be part of our mission to redefine real estate investment.

Employment Type: Full-Time

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Analytical Thinking
  • Collaboration
  • Mentorship

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