About RPS Real Property Solutions
We are Canada’s leading provider of outsourced real estate solutions including property valuations, business intelligence and mortgage-related services. We partner with financial institutions, mortgage professionals, real estate professionals, government agencies and economic research firms, providing data-driven risk management tools, market trends and insights, and consulting services help them make informed decisions with confidence.
Our obsession with providing exceptional service to our clients allows us to build long-term, trusted relationships and to deliver the most innovative and effective residential real estate solutions in the market.
Our team is united by a shared set of values:* We’re Client Obsessed
We Love Innovation, But Worship Execution
We Believe Simplicity Is Genius
We Own What We Do
We’re Guided by True North
We Care Personally, Challenge Directly
Value \& Overview of the Role:
We are seeking an experienced Data Engineer to join our team and drive the development and optimization of our data infrastructure. The ideal candidate will have a strong technical background in modern data platforms and programming, with experience or familiarity in the appraisal industry being a significant advantage.
Accountabilities:
Design, develop, and maintain scalable data pipelines and ETL/ELT processes using Snowflake and AWS services
Build and optimize data models, schemas, and warehouse architecture in Snowflake
Develop data integration solutions to consolidate data from multiple sources into our data lake and warehouse
Write efficient, maintainable Python scripts for data processing, transformation, and automation
Create complex SQL queries for data extraction, analysis, and reporting
Design and maintain data sources for Power BI and Tableau dashboards and reports
Collaborate with data analysts, business stakeholders, and BI teams to understand data requirements and optimize data delivery
Monitor and optimize data pipeline performance, troubleshoot issues, and ensure data quality.
Implement data governance and security best practices
Document data processes, workflows, and technical specifications
Required Qualifications:
3+ years of experience as a Data Engineer or similar role
Strong hands-on experience with Snowflake (data warehousing, SQL optimization, stored procedures)
Proficiency in AWS services (S3, Lambda, Glue, Redshift, EMR, or similar)
Advanced SQL skills with experience in query optimization and performance tuning
Strong Python programming skills for data engineering tasks (pandas, PySpark, or similar libraries)
Experience building and maintaining ETL/ELT pipelines
Familiarity with Power BI and Tableau, including creating data connections and optimizing data models for BI tools
Understanding of data modeling concepts (star schema, snowflake schema, dimensional modeling)
Knowledge of version control systems (Git)
Strong problem-solving abilities and attention to detail
Preferred Qualifications:
Experience or familiarity with the appraisal industry, real estate valuation, or property data
Experience building semantic models/datasets for Power BI or data sources for Tableau
Knowledge of data orchestration tools (Airflow, dbt, or similar)
Experience with CI/CD pipelines and infrastructure as code (Terraform, CloudFormation)
Understanding BI best practices and dashboard performance optimization
Understanding of data governance and compliance requirements
Bachelor’s degree in computer science, Information Systems, or related field
Technical Skills:
Cloud Platforms: AWS (S3, Lambda, Glue, EC2, RDS, etc.)
Data Warehousing: Snowflake
Programming: Python, SQL
BI Tools: Power BI, Tableau
Tools \& Technologies: Git, Docker, Linux/Unix
Data Processing: ETL/ELT frameworks, batch and stream processing
RPS Real Property Solutions is an employment equity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you should require accommodation during the interview process, please contact Human Resources at Recruitment@rpsrealsolutions.com
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.