Senior Data Engineer - Analytics Pipelines (Remote)

TapMango; Remote; CAD 120,000 - 150,000; Full time

Job summary

A data-focused SaaS company in Canada seeks a Data Engineer to develop robust ETL pipelines, transform chaotic data into insights, and design effective data warehouse schemas. The role requires 5+ years of data engineering experience, SQL fluency, and cloud expertise, particularly in Azure. Employees benefit from remote work, generous time off, and comprehensive health packages amidst a dynamic team environment focused on real analytics.

Benefits

Generous time off plan

Fully remote work

Continuous virtual coaching and support

Comprehensive health benefits

Subsidized gym membership

Performance recognition

Professional development program

Qualifications

• 5+ years in data engineering with a focus on pipelines and warehouse experience.
• Expertise in SQL for complex transformations and performance tuning.
• Experience in building scalable ETL/ELT pipelines.

Responsibilities

• Build ETL/ELT pipelines for data ingestion, transformation, and service at scale.
• Design warehouse schemas for effective analytics.
• Create pre-aggregated datasets for faster dashboard loading.

Skills

ETL/ELT pipeline building

SQL fluency

Data modeling

Python or C#

Cloud experience (Azure preferred)

Tools

SQL Server

PostgreSQL

Clickhouse

Redis

Job description

A data-focused SaaS company in Canada seeks a Data Engineer to develop robust ETL pipelines, transform chaotic data into insights, and design effective data warehouse schemas. The role requires 5+ years of data engineering experience, SQL fluency, and cloud expertise, particularly in Azure. Employees benefit from remote work, generous time off, and comprehensive health packages amidst a dynamic team environment focused on real analytics.