Sr. Data Engineer, Analytics (Remote)

Luxury Presence; Toronto; Remote; CAD 80,000 - 110,000; Full time

Job summary

An innovative digital platform is seeking a Sr. Data Engineer to join their growing team. This role offers a unique opportunity to design and maintain scalable data pipelines, collaborate with AI teams, and build data governance policies from the ground up. As part of a fast-paced startup, you'll leverage your expertise in SQL, Python, and various ETL tools to unlock insights from a vast trove of data. If you're passionate about data engineering and want to make a significant impact in the real estate industry, this position is perfect for you.

Qualifications

• Proficiency in SQL and experience with Python or R.
• Hands-on experience with ETL/rETL workflows and data engineering principles.

Responsibilities

• Design and maintain scalable data pipelines and ELT processes.
• Collaborate with AI Solutions team to implement AI-enhanced processes.
• Manage analytics tech stack to support data democratization.

Skills

SQL

Python

ETL/rETL workflows

Data engineering principles

Workflow orchestration tools (Airflow)

ETL/ELT tools (Fivetran)

Cloud data warehouses (Snowflake, DBT)

Tools

Airflow

Fivetran

Snowflake

DBT

BI tools (Tableau, SiSense, Sigma, Looker)

Job description

Join to apply for the Sr. Data Engineer, Analytics (Remote) role at Luxury Presence.

Luxury Presence is the leading digital platform revolutionizing the real estate industry for agents, teams, and brokerages. Our award-winning websites, cutting-edge marketing solutions, and AI-powered mobile platform empower real estate professionals to grow their business, operate more efficiently, and deliver exceptional service to their clients. Trusted by over 60,000 real estate professionals, including 31 of the nation’s top-performing agents as published in the Wall Street Journal, we continue to set the standard for innovation and excellence in real estate technology.

Why Now?

We’ve experienced tremendous growth over the last 5 years, resulting in a valuable trove of data. We need experienced data professionals to help us realize its value and unlock insights at the intersection of our operational, financial, and product data. This is a unique opportunity to join a fast-growing startup and build our data team, culture, and processes from scratch.

What You’ll Do

1. Design, develop, and maintain scalable data pipelines and ELT processes for our data lake/data warehouse.
2. Implement data orchestration tools to automate and streamline workflows.
3. Collaborate with our AI Solutions team to implement AI-enhanced processes.
4. Build and integrate machine learning models and data pipelines into analytics solutions.
5. Build and manage reverse ETL workflows to business systems like CRM.
6. Support development of predictive models for strategic and operational initiatives.
7. Develop and maintain documentation for data processes and systems.
8. Create production-ready data models and schemas using DBT for downstream analytics.
9. Work with cross-functional teams to define and implement data governance policies.
10. Manage our analytics tech stack to support data democratization via dashboards, reports, and models.
11. Assist analysts in developing dashboards, data products, and ad hoc reports for various analytics needs.

Must Haves

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

Nice to Haves

• Experience with AI workflow orchestration tools like AirOps or Vectorshift
• Experience with entitlements and CRM integration for feature gating
• Experience with large-scale data integrations from Google products
• Experience with BI tools (Tableau, SiSense, Sigma, Looker)
• Ability to communicate technical concepts effectively to diverse audiences
• Ability to collaborate with leadership to align analytics with business needs
• Experience supporting functions like sales, marketing, product development, or customer success in a SaaS environment.