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JH
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Aviva Canada

Data Engineer - Snowflake, dbtCore/Cloud, AWS

Markham, ON, Canada

The salary band for this position ranges from $100,000 to $125,000. · Full-time

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Job details

Pay: The salary band for this position ranges from $100,000 to $125,000.
Job type: Full-time
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Individually we are people, but together we are Aviva. Individually these are just words, but together they are our Values – Care, Commitment, Community, and Confidence.

At Aviva Canada, we put people first, our employees, our customers, and our communities. We’re proud of a culture built on care, inclusion, and collaboration, where your voice matters and your growth is supported. We’re not just about insurance; we’re about making a real difference by protecting what matters most.

Aviva Canada is looking for a Data Engineer to support our enterprise data modernization journey. You’ll use your expertise across modern and legacy platforms to build robust data pipelines and systems that power analytics and AI initiatives. In this role, you will contribute to the design and implementation of data solutions that support our growing business and next-generation Snowflake platform. This role offers the opportunity to make a meaningful impact while working within a collaborative, forward-thinking team.

What You'll Do

Data Pipeline Development: Lead the design and implementation of high-performance data pipelines using tools like dbt Core/Cloud, ensuring scalability and maintainability.
Code Ownership: Write and maintain clean, reusable code in SQL, Python, Shell, and Terraform.
Quality & Governance: Champion data quality, governance, and cataloging practices; create and review test plans to validate data solutions.
Issue Resolution: Perform root cause analysis and implement effective solutions for complex data issues.
Agile Delivery: Lead agile ceremonies, foster a delivery-focused mindset, and ensure timely execution of data initiatives.
Mentorship: Guide and mentor Data Engineers and project team members, elevating team capabilities and engineering excellence.
Collaboration: Work closely with architects, designers, QA engineers, and delivery teams to ensure cohesive and customer-centric data products.
Documentation: Produce and maintain comprehensive technical documentation to support implementation and knowledge sharing.

What You'll Bring

Extensive Experience:

6+ years of professional experience delivering over 5 high-impact data projects from inception through warranty.
3+ years of Snowflake, dbtCore/Cloud, and AWS Cloud Technologies.
3+ years of experience with coding in multiple programming languages such as Python, Java, etc.
Technical Expertise: Deep knowledge of relational databases (Snowflake, PostgreSQL, Amazon Aurora), big data platforms (Hadoop), and NoSQL databases (e.g., MongoDB).
Data Visualization Proficiency: Skilled in tools such as Snowsight, Streamlit, Qlik, and SAP BusinessObjects to communicate insights effectively.
Advanced Coding Skills: Expert-level proficiency in SQL, Python, Shell, and Terraform, with a strong focus on performance, reusability, and maintainability.
Presentation & Communication: Strong technical and business presentation skills; able to identify and address gaps in data designs and processes with both internal and external stakeholders.
Pipeline & Orchestration Tools: Hands-on experience with orchestration tools like Zena and AWS Managed Airflow.
Resilience & Adaptability: Proven ability to thrive in fast-paced, ambiguous, and high-pressure environments.
Customer-Centric Mindset: Passion for solving real-world problems using data-driven insights to deliver impactful business outcomes.
Collaborative Approach: Strong interpersonal and communication skills, with the ability to lead teams and influence cross-functional stakeholders.
Domain Knowledge: Familiarity with insurance industry processes and systems is a strong asset.
AI/ML & GenAI Exposure: Experience in operationalizing AI/ML & GenAI models is a plus.

Any Of The Following Certifications Are An Asset

SnowPRO Core
SnowPRO Advanced Data Engineer (DEA-C01, DEA-C02)
SnowPro® Advanced: Architect (ARA-C01)
dbt Developer
AWS Cloud Practitioner

What You’ll Get

The salary band for this position ranges from $100,000 to $125,000. Please note that individual salary is determined by factors such as job-related knowledge, skills and experience, as well as internal equity.
Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.
Outstanding Career Development opportunities.
We’ll support your professional development education.
Competitive vacation package with the option to purchase 5 extra days off per year.
Employee driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion.
Corporate wellness programs to support our employees’ physical and mental health.
Hybrid flexible work model.

This job advertisement is for an existing vacancy which has been posted both internally & externally.

Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment process to screen, assess or select applicants for a position.

Aviva Canada welcomes applications from all qualified individuals and has a process in place to provide accommodations for persons with disabilities at all stages of the hiring process and during employment. If you require an accommodation during the interview or hiring process, please contact your Aviva Talent Acquisition Partner so that an appropriate accommodation can be arranged.

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More about this job

Responsibilities

Design, build, and maintain scalable data pipelines and systems using Snowflake, dbt, AWS, SQL, Python, Shell, and Terraform, while promoting data quality, governance, and documentation. Resolve complex data issues, lead agile delivery and team mentoring, and collaborate across technical and business teams to deliver customer-focused data products.

Requirements

Candidates need at least six years of professional experience delivering high-impact data projects, including at least three years with Snowflake, dbt Core/Cloud, and AWS, plus strong coding experience. The role also calls for advanced SQL, Python, Shell, and Terraform skills; experience with databases, data platforms, visualization and orchestration tools; and strong communication, collaboration, and leadership abilities.

Skills

Snowflake
dbt Core/Cloud
AWS
SQL
Python
Shell
Terraform
Data Pipeline Development
Data Quality and Governance
Data Cataloging
Agile Delivery
Root Cause Analysis
Data Orchestration
Technical Documentation
Team Mentoring
AI/ML Model Operationalization

Benefits

Annual Bonus Eligibility
Retirement Savings
Share Plan
Health Benefits
Personal Wellness Programs
Volunteer Opportunities
Professional Development Support
Competitive Vacation
Option to Purchase Additional Vacation Days
Employee Inclusion Programs
Hybrid Flexible Work Model

Visa sponsorship

Not detected in the job text

Keywords

Snowflake
dbt Core
dbt Cloud
AWS
SQL
Python
Java
Shell
Terraform
Data Engineering
Data Pipelines
Data Modernization
Data Quality
Data Governance
Data Cataloging
PostgreSQL
Amazon Aurora
Hadoop
MongoDB
Snowsight
Streamlit
Qlik
SAP BusinessObjects
Zena
AWS Managed Airflow
Agile
AI/ML
Generative AI
Insurance
SnowPro Certification

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