Data Engineer with AWS - 100% Remote Job

VGreen Technology Solutions (VGreenTEK); Toronto; On-site; CAD 45,000 - 76,000; Part time

Job summary

VGreen Technology Solutions (VGreenTEK) is seeking a contract Data Engineer for a long-term engagement focused on analytics data pipelines and performance-driven data models.

You will work with SQL and Snowflake, develop in Python and dbt, and integrate SaaS APIs while delivering datasets for reporting. The role demands strong debugging skills and clear communication, with an AI-first approach to development.

Qualifications

• Strong SQL for reading, writing and debugging complex analytics queries.
• Hands-on experience with Snowflake or similar cloud data warehouse.
• Experience building production data pipelines with orchestration and idempotent reprocessing.
• Strong Python for data tasks.
• Experience with dimensional/analytic data modeling and dbt.
• Experience integrating with SaaS APIs; HubSpot/CRM data a plus.
• Proficiency with BI tooling to create reusable datasets.

Skills

SQL

Snowflake

Python

dbt

APIs

BI tools

AWS

Debugging

AI-first development

Communication

Learning mindset

Job description

Position Type: Contracting

Duration: Long Term

Rate: 55/Hr on Incorporated Contractor

• Strong SQL. You can write, read, and debug complex analytical SQL, and you care about how it performs.
• Hands-on experience with Snowflake, or a comparable cloud warehouse and the ability to ramp fast.
• Experience building production data pipelines, including orchestration, incremental loads, and idempotent reprocessing.
• Strong Python for data work.
• Experience with dimensional or analytics data modeling, and with a transformation framework such as dbt.
• Experience integrating with SaaS platforms and their APIs. HubSpot experience is a plus, as is CRM or marketing data experience generally.
• Experience with BI tooling and building datasets other people report from.
• Hands-on experience with AWS.
• Excellent debugging skills. You enjoy chasing a problem to its actual root cause, including "why does this number look wrong.".
• An AI-first development approach. You are comfortable and effective using Claude as a daily part of how you build, review, and debug, not an occasional novelty.
• Excellent communication skills. You can explain a metric definition to a non-technical stakeholder and get agreement on it.
• Excellent communication skills, including writing clearly about technical decisions.
• A hunger to learn with strong curiosity.