Data Engineer with AWS - 100% Remote Job

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.

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.

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.

• SQLSouhaitée
• Amazon Web ServicesSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

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

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

Expérience minimale

2+ ans

Postuler avant le

9 févr. 2027

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Greater Toronto Area, Canada

Niveau d’expérience

Entry level