Senior Data Engineer: AI‑Ready AWS Data Platform

HOOPP; Toronto; On-site; CAD 103,000 - 153,000; Full time

Benefits offered by this job

100% company-paid extended health and 

dental benefits

Defined benefit pension plan

Learning & development programs

Parental leave top-up

Health spending account

Job summary

HOOPP is seeking a Senior Data Engineer in Toronto to design data foundations and AI-ready assets powering analytics and AI use cases. You will build scalable AWS pipelines, use Snowflake as a core data platform, and shape the lakehouse with metadata-driven models for trusted data.

You will collaborate with data scientists, AI engineers, and business partners, applying best practices in testing, IaC, and CI/CD to deliver measurable business impact.

Qualifications

• 7+ years of data engineering experience, with 3+ years building production data solutions on AWS.
• Hands-on depth with the AWS data stack — S3, Glue, Lambda, Athena, Step Functions, EventBridge.
• Strong SQL and Python, with experience building distributed data processing at scale (Spark).

Responsibilities

• Build data foundations transforming structured and unstructured data into AI-ready assets.
• Architect cloud-native pipelines on AWS for scalable data movement.
• Set engineering standards, perform reviews, and mentor engineers.
• Ensure automated testing, IaC, and CI/CD for reliable releases.
• Build observability and data lineage into pipelines from day one.

Skills

Data engineering

SQL

Python

Spark

AWS

Snowflake

ETL

CI/CD

Education

Post-secondary education in computer science or engineering

AWS Data Engineer or Solutions Architect certification

Tools

Snowflake

Cortex AI

Snowpark

Vector search

Terraform

Git

CI/CD

Job description

HOOPP is seeking a Senior Data Engineer in Toronto to design data foundations and AI-ready assets powering analytics and AI use cases. You will build scalable AWS pipelines, use Snowflake as a core data platform, and shape the lakehouse with metadata-driven models for trusted data.

You will collaborate with data scientists, AI engineers, and business partners, applying best practices in testing, IaC, and CI/CD to deliver measurable business impact.