Senior Data Engineer — Remote, Cloud Data Pipelines

Datatonic; Remote; CAD 110,000 - 140,000; Full time

Job summary

A premier AI data company in Canada seeks a Data Engineer to enhance cloud infrastructure and develop scalable data pipelines. Collaborate with project teams and clients to implement effective data solutions using GCP technologies. Ideal candidates will have over 4 years of experience in data roles, strong coding skills in Python and SQL, and the ability to communicate effectively. This role offers competitive compensation and a flexible remote work environment.

Benefits

20 days paid vacation

5 wellness days

Matching Group Retirement Savings Plan

Competitive Group Insurance plan

Home office budget

Opportunities for paid certifications

Regular company off-sites

Qualifications

• 4+ years in a data-related role (e.g., Data Engineer, Data Analyst, Analytics Engineer).
• Hands-on experience with Looker, dbt, modern data warehouses like Snowflake or BigQuery.
• Expertise in Python and/or Java, with proficiency in SQL.
• Ability to write tested, resilient, and well-documented code.
• Experience in building and maintaining cloud infrastructure (GCP or AWS is a plus).
• Ability to communicate complex ideas simply to a wide range of audiences.

Responsibilities

• Build the infrastructure for analytics and data science teams.
• Assist clients in migrating their data warehouse solutions to Google Cloud.
• Design, develop, and optimize robust data pipelines.
• Architect, maintain, and troubleshoot cloud-based infrastructure.
• Collaborate with technology partners like Google Cloud and Snowflake.
• Implement software engineering best practices in analytics processes.

Skills

Python

SQL

Data Engineering

Java

Looker

dbt

Snowflake

BigQuery

Problem-Solving

Education

4+ years in a data-related role

Tools

dbt

Google Cloud

Snowflake

BigQuery

Job description

A premier AI data company in Canada seeks a Data Engineer to enhance cloud infrastructure and develop scalable data pipelines. Collaborate with project teams and clients to implement effective data solutions using GCP technologies. Ideal candidates will have over 4 years of experience in data roles, strong coding skills in Python and SQL, and the ability to communicate effectively. This role offers competitive compensation and a flexible remote work environment.