Data Engineer: Build Scalable AI Data Pipelines

Jobright.ai; Canada; Presencial; CAD 65 000 - 90 000; Tempo integral

Resumo da oferta

Jobright.ai is seeking an early-career Data Engineer in Canada to design and build data pipelines, ensuring data quality and enabling analytics and product teams.

You will own the ETL/ELT lifecycle, implement data modeling best practices, and collaborate with data scientists and engineers to deliver reliable datasets. The role emphasizes practical data engineering skills and clean, production-ready code.

Qualificações

• Recent graduate or early-career professional (0–2 years) in a technical field.
• Proficient in Python and SQL with data transformation experience.
• Understanding of data warehousing concepts and ETL/ELT lifecycles.
• Strong software fundamentals: APIs, Git, and writing testable, production-ready code.

Responsabilidades

• Design and build reliable data pipelines that move data into centralized warehouses and lakes for downstream use.
• Own the full lifecycle of ETL/ELT processes from schema design to deployment.
• Ensure data quality with validation checks and anomaly detection across pipelines.
• Collaborate with analytics, data science, and product teams to deliver clean datasets.
• Optimize query performance, storage costs, and pipeline reliability as data volumes grow.

Conhecimentos

Python

SQL

Data modeling

APIs & Git

Formação académica

BSc in Computer Science or Data Engineering

Ferramentas

Snowflake

BigQuery

Airflow

dbt

Descrição da oferta de emprego

Jobright.ai is seeking an early-career Data Engineer in Canada to design and build data pipelines, ensuring data quality and enabling analytics and product teams.

You will own the ETL/ELT lifecycle, implement data modeling best practices, and collaborate with data scientists and engineers to deliver reliable datasets. The role emphasizes practical data engineering skills and clean, production-ready code.