Data Analytics Engineer
Description For Data Analytics Engineer
Luxury Presence, a leading digital platform in the real estate industry, is seeking a Data Analytics Engineer to join their growing team. Founded in 2016 and backed by prestigious investors like Bessemer Venture Partners, the company has raised $52.6M and serves over 13,000 real estate businesses, including top WSJ 100 agents.
The role presents a unique opportunity to join a fast-growing startup and build their data team, culture, and processes from the ground up. The company has accumulated valuable data through tremendous growth over the last 5 years, requiring experienced professionals to unlock insights at the intersection of operational, financial, and product data.
As a Data Analytics Engineer, you'll be responsible for designing and maintaining scalable data pipelines, implementing AI-enhanced processes, and building machine learning models. You'll work with cutting-edge tools and technologies while collaborating with cross-functional teams to support strategic initiatives.
The ideal candidate should have strong SQL and Python/R skills, experience with ETL/ELT processes, and familiarity with modern data warehouse tools. This position offers competitive compensation ($100,000-$150,000) and the flexibility of remote work, making it an excellent opportunity for data professionals looking to make an impact in the proptech sector.
Luxury Presence has been consistently recognized as a Best Place to Work by BuiltIn and has received numerous industry awards, including HousingWire Tech100 Awards and an Inman Innovation Award for their AI-powered platform.
Responsibilities For Data Analytics Engineer
- Design, develop, and maintain scalable data pipelines and ELT processes for data lake/data warehouse
- Implement data orchestration tools to automate and streamline data workflows
- Work with AI Solutions team to implement AI enhanced processes
- Build and integrate machine learning models and data pipelines
- Build and manage reverse ETL workflows to business systems
- Support development of predictive models
- Develop and maintain comprehensive documentation
- Build production-ready data models and schemas using DBT
- Collaborate on data governance policies and best practices
- Manage modern analytics tech stack
- Support analysts in developing dashboards and data products
Requirements For Data Analytics Engineer
- Proficiency in SQL
- Proficiency in statistical programming language (Python or R)
- Hands-on experience building and managing ETL and rETL workflows
- Strong understanding of data engineering principles
- Experience with workflow orchestration tools like Airflow
- Experience with ETL/ELT tools like Fivetran
- Experience with cloud data warehouse and transformation tools
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