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Senior Data Engineer

Published1st February
SectorResidential/ Multifamily Real Estate Innovation
Job Type
Job TypePermanent
ConsultantFergus Owens

PropTech Senior Data Engineer role based Remotely

About our client

Our client is hiring a Senior Data Engineer to join a dynamic, experienced team. They are looking for engineers who can not only tackle technical problems, but also collaborate and evangelize best practices across teams. They value engineers who can bring fresh ideas and solutions to complex problem statements.

The company are on a mission to transform home selling into a simple, enjoyable and fairly priced transaction. The average home seller pays 30% of their equity in brokerage commissions – beyond expensive. Our client is remaking the $60bn a year real estate industry into an online end to end marketing, transaction, and financial management platform. Their homes sell faster, their sellers keep more of their money, and their sellers are happier than with a traditional agent. Our client is the fastest growing real estate company, entering a new state on average every 6 weeks. They are building the future real estate platform now.

The company is an ambitious, smart, and open-minded group both from the real estate world and many other backgrounds (ecomm, product, consumer, writing, etc). They are athletes, cookbook authors, volunteers, surfers, bikers and many more… Their employees are passionate about their mission and care about their customers.

Our client believes in supporting their employees and creating a work environment that is positive, productive and rewarding.  They put their people first. They offer health benefits, dental, vision, and matching 401K.  They hire both for remote work or co-located in New York City or Santa Monica.

Job Specs
  • Collaborate with the Product, Marketing and BI teams to define and implement data solutions to gain insights and enable growth across the organization
  • Architect and build data pipelines to extend and scale our client’s data warehouse
  • Design and build infrastructure to optimize their ETLs and API integrations
  • Extend their existing tools for data analysis and work with BI teams to develop models to enable analysis, reporting and insights into product optimization and new feature development
  • Collaborate with Development team members to provide feedback on data modeling and collaborate with Systems Engineering team on related cloud infrastructure
  • Analyze historical market data, identifying market trends and suggesting potential additions and changes to the current product and strategy
  • 5+ years working experience as a Data Engineer or similar position
  • Strong knowledge of SQL, Python
  • Strong general programming proficiency
  • Experience with Amazon Web Services, Azure, or other cloud server platforms
  • Experience with NoSQL such as MongoDB; relational database systems like MySQL and PostgreSQL and in-memory data storage tools such as Redis
  • Familiarity with R, Matlab or similar programming languages for data science
  • Experience with continuous integration and automated testing tools and methodologies
  • Experience with serverless architecture and microservices.
  • Excellent Problem-solving skills with an innovative and proactive approach
  • Ability to recommend and implement best practices and processes
Skills that would be a plus
  • Experience with Machine Learning
  • Experience with Hadoop, Spark, ElasticSearch
  • Experience with Systems Engineering, Dev Ops, Cloud Infrastructure (AWS)
  • Experience with technologies such as React/Next.js and Node.js. Although this position will be focused on data engineering, familiarity with other technologies in the company’s stack is helpful
  • Experience analyzing large data sets in relation to real estate sales

When you’re ready for a challenge and a team that will support you along the way, join them. You will engage in interesting and challenging work that will improve the real estate market every day.  Our client is an equal opportunity employer.

LMRE Tech consultant

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