Senior Data Engineer — Cloud Data Platform Builder (Remote)

Apply; Toronto, Vancouver; Hybrid; CAD 110,000 - 150,000; Full time

Benefits offered by this job

AI & Strategic Upskilling

Generous vacation policy

Flexible work arrangements

Diversity & Inclusion initiatives

Job summary

APPLY is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and architectures for analytical and operational workloads. You will work with Snowflake, BigQuery, and Python to enable reliable data delivery across teams in North America.

Join a hybrid/remote friendly environment based in the Greater Toronto Area or the Greater Vancouver Area, collaborating with distributed teams and shaping data governance, modeling, and BI capabilities for leading brands.

Qualifications

• Certified SnowPro.
• Experience collaborating with distributed teams across North America and Latin America.
• 5+ years of experience in data engineering, building modern cloud-based data platforms.
• Strong hands-on experience with Snowflake, including performance tuning, security, and data modeling.
• Advanced SQL skills for analytics engineering and data transformation.
• Proficiency in Python for data processing, automation, and orchestration.
• Experience with dbt or similar analytics engineering frameworks.
• Familiarity with orchestration tools such as Dagster or Apache Airflow.
• Experience working with clickstream and event data - ingestion, modeling, and real-time or near-real-time processing at scale.
• Experience enabling or supporting machine learning, feature engineering, or AI-driven use cases on top of data platforms.
• GCP certified (Associate Cloud Engineer or Professional Data Engineer).
• Solid understanding of data privacy, governance, and compliance best practices.
• Strong problem-solving skills and a pragmatic, delivery-oriented mindset.
• Strong problem-solving skills, with the ability to debug and optimize complex data workflows.
• Excellent English communication and collaboration skills.

Responsibilities

• Design, build, and maintain scalable data pipelines and architectures to support analytical and operational workloads.
• Develop and optimize ETL/ELT pipelines, ensuring efficient data extraction, transformation, and loading from various sources.
• Work closely with backend and platform engineers to integrate data pipelines into cloud-native applications.
• Manage and optimize cloud data warehouses, primarily BigQuery, ensuring performance, scalability, and cost efficiency.
• Implement data governance, security, and privacy best practices, ensuring compliance with company policies and regulations.
• Collaborate with analytics teams to define data models and enable self-service reporting and BI capabilities.
• Develop and maintain data documentation, including data dictionaries, lineage tracking, and metadata management.
• Monitor, troubleshoot, and optimize data pipelines, ensuring high availability and reliability.
• Stay up to date with emerging data engineering technologies and best practices, continuously improving our data infrastructure.

Skills

SnowPro Certified

Snowflake

BigQuery

Python

SQL

dbt

Dagster / Airflow

Clickstream data

ML/Data Engineering

English communication

Tools

Snowflake

BigQuery

dbt

Dagster

Apache Airflow

Python

SQL

Terraform

Looker

Tableau

Power BI

Looker/BI tools

Job description

APPLY is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and architectures for analytical and operational workloads. You will work with Snowflake, BigQuery, and Python to enable reliable data delivery across teams in North America.

Join a hybrid/remote friendly environment based in the Greater Toronto Area or the Greater Vancouver Area, collaborating with distributed teams and shaping data governance, modeling, and BI capabilities for leading brands.