Data Analytics Engineer

Summary

Join Luxury Presence, a leading digital platform revolutionizing the real estate industry, and become a key member of our growing data team. We are seeking an experienced data engineer to design, develop, and maintain scalable data pipelines and ELT processes. You will implement data orchestration tools, work with our AI Solutions team, build machine learning models, and manage reverse ETL workflows. This role requires proficiency in SQL and a statistical programming language, along with experience in ETL/ELT processes, data modeling, and data warehousing. The ideal candidate will have experience with various tools and technologies, and a strong understanding of data engineering principles. This is a unique opportunity to contribute to a fast-growing startup and build our data team from the ground up.

Requirements

• Proficiency in SQL
• Proficiency in any statistical programming language (i.e, Python or R)
• Hands-on experience building and managing ETL and rETL workflows
• Strong understanding of data engineering principles, including ETL/ELT processes, data modeling, and data warehousing
• Experience with workflow orchestration tools, such as Airflow
• Experience with ETL/ELT tools, such as Fivetran
• Experience with cloud data warehouse and transformation tools (e.g.,, snowflake, DBT etc)

Responsibilities

• Design, develop, and maintain scalable data pipelines and ELT processes for our data lake/data warehouse
• Implement data orchestration tools to automate and streamline data workflows
• Work with our AI Solutions team to implement AI enhanced processes throughout the organization
• Build and integrate machine learning models and data pipelines into end-to-end analytics solutions
• Build and manage reverse ETL workflows to business systems such as the CRM
• Support development of predictive models to support strategic and operational initiatives
• Develop and maintain comprehensive documentation for data processes and systems
• Build production-ready data models and schemas using DBT to support downstream analytics
• Collaborate with cross-functional teams to define and implement data governance policies and best practices
• Manage our modern analytics tech stack to support the democratization of data and analytics through dashboards, reports, and predictive models
• Support analysts in developing dashboards, data products, and ad hoc report studies to analyze and present data associated with GTM analytics, product performance, business operations, and strategic decision-making

Preferred Qualifications

• Experience working with AI workflow orchestration tools such as AirOps or Vectorshift
• Experience working with entitlements and connecting the CRM to the Platform to gatekeep product features
• Experience setting up large scale integrations to pull data from various Google products
• Experience working with BI tools (Tableau, SiSense, Sigma, or Looker etc)
• Ability to communicate technical concepts to both technical and non-technical audiences through visualizations and presentations
• Ability to partner with leadership and stakeholders across the company to understand business needs and how these can be addressed through analytics
• Experience in a B2B or SaaS environment, supporting functions such as sales, marketing, product development, and/or customer success