Remote Data Engineer

We’re looking for a motivated Data Engineer to help build and scale our cloud-native data pipelines using Snowflake and dbt. This role is ideal for someone who enjoys solving data challenges, improving performance, and delivering trusted data to stakeholders across the business.

Responsibilities:

Design, develop, and maintain ELT pipelines using dbt and Snowflake.

Build and support data ingestion processes from internal and external sources using both batch and streaming pipelines.

Create and maintain data models and transformations in dbt, following version control and CI/CD practices.

Implement robust data quality checks, lineage, and testing processes.

Collaborate with Dev Ops and cloud teams to monitor pipeline health and optimize infrastructure in AWS.

Automate recurring workflows and contribute to self‑service data tooling for internal teams.

Required Skills &

Qualifications:

3–6 years of experience as a data engineer in a cloud‑based environment.

Hands‑on experience with dbt and Snowflake (must‑have).

Strong SQL skills and Python scripting for data manipulation and automation.

Familiarity with data orchestration tools like Airflow or Dagster.

Experience with cloud data ecosystems, especially AWS (S3, Glue, Lambda).

Understanding of data warehouse design, ELT pipelines, and performance tuning.

Preferred Skills &

Qualifications:

Experience with data observability and quality tools (e.g., Great Expectations, Monte Carlo).

Exposure to infrastructure‑as‑code (e.g., Terraform).

Prior involvement in cloud migration or legacy‑to‑modern data stack projects

Hybrid work model available in Toronto office.

Benefits:

Competitive Compensation (based on experience)

Health Care Plan

Generous Vacation/Personal Days

Generous Referral Program

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