Senior Data Engineer (Snowflake & Asset Management)

Careers; Toronto; Hybrid; CAD 96,000 - 138,000; Full time

Benefits offered by this job

Health insurance

Hybrid work model

Professional development

Job summary

Careers is seeking a Senior Data Engineer focused on Snowflake and asset management to design and build scalable data pipelines, data lakes, and data warehouses in a modern cloud environment. You will collaborate with engineers, analysts, and stakeholders to gather requirements, implement APIs and microservices, and promote strong data governance and DevOps practices across the platform.

The role emphasizes measurable outcomes, cross-team collaboration, and delivering high-impact data products

Qualifications

• Bachelor's or Master's in Computer Science or a related field.
• 7–8 years in asset management data environments.
• 5 years building cloud-native data platforms and pipelines.
• Strong Snowflake expertise and data governance experience.

Responsibilities

• Design and implement end-to-end data, cloud, and software engineering solutions.
• Build scalable data pipelines, data lakes, and data warehouse solutions.
• Collaborate with leads to align engineering with strategic vision.
• Evaluate integrations to support data-as-a-product initiatives.
• Promote DevOps and strong data governance, quality, and reliability.

Skills

Data architecture

Data governance

Stakeholder management

Programming languages

Cloud platforms

Data pipelines

DevOps practices

Data products

Data visualization

Education

Bachelor's or Master's in Computer Science

Tools

Snowflake

Oracle

Hadoop

Power BI

Tableau

AWS S3

AWS EC2

AWS EKS

AWS Glue

SageMaker

Athena

Redshift

APIs

Microservices

Data ingestion tools

Data pipelines

Data lakes

Data warehouse

Python

Java

Scala

SQL

Job description

Senior Data Engineer (Snowflake & Asset Management)

Step into an opportunity within the insurance sector where data, innovation, and technology come together to drive meaningful business outcomes. Join a collaborative environment focused on building modern solutions, advancing cloud capabilities, and delivering high-impact initiatives that shape the future of enterprise data.

What is in it for you

• Salaried: $70-80 per hour.
• Incorporated Business Rate: $90-100 per hour.
• Exciting 12-month opportunity with future long-term career potential.
• Full-time position offering 37.5 hours per week.
• Monday to Friday schedule from 9:00 am to 5:00 pm.
• Hybrid model with three on-site days per week: Tuesday, Wednesday, and Thursday.

Responsibilities

Engineering & Architecture

Design and implement end-to-end solutions for data, cloud, and software engineering needs. Collaborate with technical leads to align engineering decisions with the organization's strategic vision. Build scalable data pipelines, data lakes, and data warehouse solutions.

Data Marketplace & Integrations

Evaluate and implement system integrations that support data-as-a-product initiatives and enterprise data discovery capabilities.

Platform Engineering

Partner with enterprise engineering teams to identify, evaluate, and deploy tools and technologies required to support current and future platform needs. Champion inner-sourcing practices to enable collaborative development across teams.

DevOps & Governance

Establish and enhance DevOps practices to improve developer experience and accelerate time-to-market. Promote and implement strong data governance, data quality, and reliability practices.

Cross-Functional Collaboration

Work closely with analysts, business stakeholders, and product teams to gather requirements and translate them into technical solutions. Deliver secure, scalable, and high-performance data products that support business-critical use cases. Proactively monitor workflows, resolve bottlenecks, and troubleshoot data-related issues.

What you will need to succeed

• Bachelor's or Master's degree in Computer Science or a related technical field.
• 7-8 years of experience in the asset management domain.
• 7 years of experience working in data-driven organizations on large-scale, end-to-end data initiatives.
• 5 years of hands-on experience building data platforms, applications, and pipelines using cloud-native technologies, including AWS, Azure, or GCP.
• Deep understanding of cloud data ecosystems, including Snowflake, Oracle, and Hadoop.
• Strong hands-on experience with Snowflake, including warehouses, query optimization, and cost governance.
• Experience with data ingestion and flow management tools.
• Strong programming skills in Python, Java, Scala, and SQL.
• Expertise with AWS services, including S3, EC2, EKS, Glue, SageMaker, Athena, and Redshift.
• Experience designing APIs and microservices.
• Strong communication, negotiation, and stakeholder management skills.
• Proven ability to influence, lead change, and drive measurable outcomes.
• Experience with data visualization tools such as Power BI or Tableau is considered an asset.