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Contract Snowflake Jobs in Toronto, ON (NOW HIRING)

Translate business and Finance requirements into well-defined Snowflake data models, technical designs, data contracts, and implementation plans * Develop and troubleshoot advanced Snowflake SQL ...

You'll work across Snowflake, Power BI, and the data contracts in between, with visibility into how our operational stack feeds the warehouse. Autonomy. We're a small team that moves fast. You'll own ...

... star/snowflake schema), and semantic layer definitions aligned to business requirements Build and maintain architecture, enforcing data contracts and automated quality checkpoints at each layer ...

Hybrid (2 days onsite / 3 days remote) - Toronto Duration: 6-Month Contract Pay Rate:up to $100 INC ... Design, build and deploy scalable data engineering pipelines using Snowflake, AWS and Matillion

Define patterns for data lake and warehouseintegration (e.g., S3 + Snowflake) including ... Ownership of automated testing (unit, integration, data contract), environmentpromotion, and ...

Business Data Analyst (Contract)

Toronto, ON · Hybrid

CA$71K - CA$100K/yr

Contract Term: 6 months. Location: You will be based in our Toronto office, balancing in-office ... Minimum 1 year of experience with dbt and Snowflake. Experience that would set you apart

ETL Developer

Toronto, ON · On-site

CA$46 - CA$65/hr

Please note that this is a fixed-term contract position until February 2027. At Fidelity, we've ... and Snowflake SQL & Oracle PL/SQL procedures based on specific business requirements ...

IAM Specialist

Concord, ON · Remote

CA$80 - CA$110/hr

... Snowflake access architecture and security model is considered an asset. We do not subcontract You must currently reside in Canada This is a Corp. to Corp contract No agencies please

Vaughan, ON (Hybrid) Duration: 6-12 Month Contract plus extensions Rate: 40-50/hour depending on ... Snowflake . The successful candidate will act as the primary business-side lead for the project ...

Data Engineer

Toronto, ON

CA$70K - CA$80K/yr

... Snowflake) that power reporting, analytics, and activation. Accountabilities: * Design, build ... Dentsu Media Time Type: Full time Contract Type: Permanent

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Showing results 1-20

Contract Snowflake information

What is the difference between Contract Snowflake vs Contract Data Engineer?

AspectContract SnowflakeContract Data Engineer
Required CredentialsSnowflake certifications, SQL skillsData engineering certifications, SQL, Python, cloud platform knowledge
Work EnvironmentCloud data platform, data warehousing projectsData pipelines, ETL processes, cloud environments
Employer & Industry UsageTech, finance, retail using SnowflakeVarious industries building data solutions
Common Search & ComparisonYesYes

Contract Snowflake roles focus on managing and optimizing Snowflake data warehouses, requiring Snowflake-specific certifications. Contract Data Engineers design and build data pipelines using various tools, including SQL and cloud platforms. While both roles involve data work, Snowflake specialists concentrate on Snowflake platform tasks, whereas Data Engineers have broader data architecture responsibilities.

Infographic showing various Contract Snowflake job openings in Toronto, ON as of August 2026, with employment types broken down into 93% Full Time, 1% Part Time, and 6% Contract. Highlights an 74% Physical, 8% Hybrid, and 18% Remote job distribution.

Senior Developer, Data Engineering - 6 Months Contract

Venterra Realty

Richmond Hill, ON • Hybrid

CA$60 - CA$80/hr

Contractor

Posted 19 days ago


Job description

ROLE: Senior Developer, Data Engineering - 6 Months Contract

REPORTS TO: Manager, Digital Analytics

LOCATION: Hybrid / Corporate Office in Richmond Hill, Ontario

SALARY: $60/h - $80/h

THE OPPORTUNITY

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 data modelling, and ensuring data quality. You will work closely with analysts, other stakeholders, and be expected to start making meaningful contributions very quickly.

Venterra is currently pursuing a data stack modernization effort to migrate from traditional ETL tools including Informatica and SSIS with SQL Server to a cloud-native ELT stack built on AWS, Python, Airflow, DBT, and Snowflake.

KEY JOB RESPONSIBILITIES

  • Migrate data models from SQL Server to Snowflake with little oversight.
  • 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.
  • Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics.
  • Stay up to date with the latest industry trends and technologies in data engineering and recommend improvements to existing systems.

CANDIDATE PROFILE

  • 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, Snowflake and Microsoft SQL Server with an emphasis on analytical and ETL use cases.
  • Strong programming skills in Python.
  • Experience with Apache Airflow and being able to design, develop, and maintain scalable data transformation workflows using data build tool (DBT).
  • Knowledge of dimensional modelling techniques and data warehouse schema design.
  • Strong experience building cloud-native solutions using AWS Lambda, ECS and EMR and deploying these services using infrastructure as code via Terraform.
  • Experience working with Git, CI/CD pipelines for database schema evolution and environment management.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.

Preferred Qualifications:

  • Experience with data modeling and schema design.
  • Knowledge of data governance and data security best practices.
  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Familiarity with machine learning and data science concepts.

COMPANY OVERVIEW

Venterra Realty is a growing developer, owner, and operator of multifamily apartments with 90 mixed-use and multifamily communities across 22 major US cities. Over 50,000 people and more than 10,000 pets call Venterra "home"! The Venterra Team is focused on achieving excellence in serving its three major stakeholders: residents, employees, and investors. Venterra has enjoyed tremendous growth and financial success over its 24-year history. This success has been achieved through the exceptional commitment and dedication of Venterra's approximately 950 team members. Find out more about Venterra Realty and its award-winning company culture at Venterra.com.

Canada Awards:

  • 2025 Best Workplaces forProfessional Development
  • 2025 Best Workplaces for Inclusion
  • 2025 Best Workplaces for Mental Wellness 2025
  • 2025 Best Workplaces in Canada
  • 2025 Best Workplaces with Most Trusted Executive Team
  • 2025 Best WorkplacesforYoung Talent
  • 2025 Best Workplaces in Real Estate & Property Development 2025

        Explore our communities atVenterraLiving.com,and visitVenterra.comto 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."

        Venterra Realty is an equal opportunity employer. Accessibility accommodations are available on request for candidates taking part in all stages of the selection process. We are actively recruiting for an existing position; Artificial Intelligence (AI) is used during our recruitment process for this role.

        *The base salary range is intended to reflect the role's base salary rate in locations throughout Canada. 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.

        Work Authorization Requirement:Applicants must be legally authorized to work in Canada at the time of application and throughout employment. The company does not provide visa sponsorship for this role.

        Employment Type: Contract