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Data Engineer with AWS - 100% Remote Job

The role involves building production data pipelines and implementing dimensional or analytics data modeling. The engineer will integrate SaaS platforms via APIs and develop datasets for BI reporting.

  • Remote
  • Ontario, California, United States, Toronto, Ontario, Canada
  • Posted Aug 13, 2026
  • Apply by Feb 9, 2027
  • 1 position

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Job summary

Data Engineer with AWS Job Location: Ontario, CA | 100% Remote Job 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.

What you’ll do

The role involves building production data pipelines and implementing dimensional or analytics data modeling. The engineer will integrate SaaS platforms via APIs and develop datasets for BI reporting.

Requirements

Candidates must have strong SQL and Python skills, along with hands-on experience in AWS and Snowflake. Proficiency with dbt and an AI-first development approach using Claude is required.

Listed skills

  • SQLPreferred
  • Amazon Web ServicesPreferred
  • PythonPreferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Sql
  • Snowflake
  • Python
  • Aws
  • Dbt
  • Data Modeling
  • Data Pipelines
  • Api Integration
  • Bi Tooling
  • Debugging
  • Claude Ai

Job areas

  • Data & Analytics
  • Technology
  • Software
  • Engineering
  • Consulting

Additional details

Minimum experience
2+ years
Apply by
Feb 9, 2027
Posting language
English
Working hours
40 hours per week
Location requirements
Country, Greater Toronto Area, Canada
Seniority
Entry level