Senior Data Platform Engineer — Hybrid (Toronto)

EvenUp; Toronto; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A technology company in Toronto is seeking a Data Engineer to build and maintain scalable data platforms and pipelines. The role involves collaborating with teams to provide data solutions, and requires proficiency in Python, SQL, and cloud technologies like BigQuery and Snowflake. Candidates should have 4+ years of experience in high-growth environments, a strong attention to detail, and the ability to mentor others. This position offers a hybrid work model and a competitive benefits package.

Benefits

Medical, dental, and vision insurance plans

Home office stipend

Flexible paid time off

Paid parental leave

401(k) for US-based employees and RRSP for Canada-based employees

Qualifications

• Experience in product-focused, high-growth environments.
• Familiarity with modern cloud environments for building data pipelines.
• Leadership potential with interest in mentoring.

Responsibilities

• Build and scale the data platform that powers analytics across the organization.
• Design and maintain ELT/ETL pipelines and reusable data models.
• Collaborate with various teams to translate business needs into data solutions.

Skills

Python

SQL

Data modeling

BigQuery

Snowflake

Airflow

Data analysis

Collaboration

Education

4+ years of experience as a Data Engineer or Software Engineer

Tools

dbt

Looker

Tableau

Job description

A technology company in Toronto is seeking a Data Engineer to build and maintain scalable data platforms and pipelines. The role involves collaborating with teams to provide data solutions, and requires proficiency in Python, SQL, and cloud technologies like BigQuery and Snowflake. Candidates should have 4+ years of experience in high-growth environments, a strong attention to detail, and the ability to mentor others. This position offers a hybrid work model and a competitive benefits package.