Data Engineer: Scalable Pipelines & Cloud DevOps

AltaML; Edmonton; Hybrid; CAD 50,000 - 80,000; Full time

Benefits offered by this job

Competitive compensation

Flexible hybrid work model

Growth in cloud and DevOps skills

Job summary

A technology firm is seeking an Intermediate Data Engineer based in Edmonton. The role involves designing and maintaining scalable data pipelines, collaborating with various specialists, and supporting internal tooling. Ideal candidates will have 2–4 years of experience in data engineering and strong skills in Python and data warehousing tools. The position offers a competitive salary and a flexible hybrid work model.

Qualifications

• 2–4 years of experience in a data engineering or related role.
• Hands-on experience with data warehousing platforms.
• Strong Python skills, including libraries like Pandas and SQLAlchemy.

Responsibilities

• Design, build, and maintain robust, scalable data pipelines.
• Collaborate with software engineers and infrastructure specialists.
• Troubleshoot and optimize data flows in development and production.

Skills

Data warehousing

Python

Workflow orchestration

SQL

Unix/Linux

Data modeling

Tools

Snowflake

Databricks

Prefect

Docker

Kubernetes

Job description

A technology firm is seeking an Intermediate Data Engineer based in Edmonton. The role involves designing and maintaining scalable data pipelines, collaborating with various specialists, and supporting internal tooling. Ideal candidates will have 2–4 years of experience in data engineering and strong skills in Python and data warehousing tools. The position offers a competitive salary and a flexible hybrid work model.