ROLE: Senior Developer, Data Engineering REPORTS TO: Manager, Digital Analytics Hybrid / Corporate Office in Richmond Hill, Ontario We are seeking a highly skilled and experienced Senior Developer to join our Data Engineering team. The ideal candidate will have a strong background in data engineering, with a focus on building and maintaining scalable data pipelines, optimizing data storage, and ensuring data quality. You will work closely with data scientists, analysts, and other stakeholders to support data-driven decision-making across the organization.

Venterra is currently pursuing a data stack modernization effort to migrate our SQL Server reporting database to a cloud-native ELT stack built on AWS, Python, Airflow, DBT and Snowflake.

Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics.

Optimize and manage data storage solutions, ensuring data is stored efficiently and securely.

Implement data quality checks and monitoring to ensure the accuracy and reliability of data.

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs.

Develop and maintain documentation for data engineering processes and systems.

Stay up to date with the latest industry trends and technologies in data engineering and recommend improvements to existing systems.

Mentor and provide guidance to members of the data engineering, business intelligence and data science teams

Bachelor’s or master’s degree in computer science, Engineering, a related field or equivalent experience

7+ years of experience in data engineering or a related field.

Strong expertise in SQL and experience with relational databases, preferably Snowflake and/or Microsoft SQL Server with an emphasis on analytical and ETL use cases.

Strong experience building cloud-native solutions using AWS Lambda,



ECS and EMR and deploying these services using infrastructure as code tools. Strong programming skills in Python or another programming language commonly used in data engineering.

Experience with data pipeline and workflow management tools, preferably Apache Airflow or other dependency graph-based orchestration tools

Familiarity with cloud-based data storage and processing solutions, preferably AWS

Knowledge of dimensional modelling techniques and data warehouse schema design

Experience working with Git, CI/CD pipelines for database schema evolution and setting management

Experience with big data technologies (e.g., Experience with data modeling and schema design.

Knowledge of data governance and data security best practices.

Familiarity with machine learning and data science concepts.

Venterra Realty is a growing developer, owner, and operator of multifamily apartments with 90 mixed-use and multifamily communities across 22 major US cities.

The Venterra

Team is focused on achieving excellence in serving its three major stakeholders: residents, employees, and investors. 2025 Best Workplaces forProfessional Development

2025 Best Workplaces for Inclusion

2025 Best Workplaces in Real Estate & Property Development 2025

Explore our communities at VenterraLiving.com to learn more about how we’re out-caring the competition by staying true to our value proposition: “We care more about renter experiences, which drives superior results.”

Accessibility accommodations are available on request for candidates taking part in all stages of the selection process.

Artificial

Intelligence (AI) is used during our recruitment process for this role.

- Salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses or benefits.

📌 Senior Developer, Data Engineering (Richmond Hill)
🏢 Venterra
📍 Richmond Hill