Data Engineer - Python, PySpark, SQL, Snowflake & API Integration
Toronto, ON, Canada
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting- Employment
Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting
What you’ll work on
Full postingDesign, develop and optimize data pipelines in Python, PySpark, SQL and Snowflake
Integrate REST APIs and external data sources into Snowflake platforms
Build and maintain ETL/ELT workflows for ingestion, transformation and processing
Write efficient SQL queries and optimize Snowflake performance
Implement data quality, validation, monitoring and automation
From the employer’s posting
Design, develop, and optimize data pipelines using Python, PySpark, SQL, and Snowflake.
Integrate REST APIs and external data sources into Snowflake-based data platforms.
Build and maintain ETL/ELT workflows for data ingestion, transformation, and processing.
Develop efficient SQL queries and optimize Snowflake performance.
Implement data quality, validation, monitoring, and automation.
What you’ll bring
All qualificationsCore experience
- 3+ years of experience in data engineering
- Experience with REST APIs, JSON and API-based data integration
- Knowledge of ETL/ELT processes, data modeling and data warehousing
Preferred experience
- Experience with cloud platforms such as AWS, Azure, or GCP is preferred.
Qualification wording
3+ years of experience in Data Engineering.
Experience with REST APIs, JSON, and API-based data integration.
Knowledge of ETL/ELT processes, data modeling, and data warehousing.
Experience with cloud platforms such as AWS, Azure, or GCP is preferred.
Tools in this posting
- Python
- SQL
- AWS
- Azure
- GCP
- Snowflake
- PySpark
Source — Tool mentions in context
Job Description Data Engineer - Python, PySpark, SQL, Snowflake & API Integration Job Description:
Job Description: We are seeking a skilled Data Engineer with strong hands-on experience in Python, PySpark, SQL, Snowflake, and API integrations to build scalable data pipelines and cloud-based data solutions. Key Responsibilities:
Key Responsibilities: - Design, develop, and optimize data pipelines using Python, PySpark, SQL, and Snowflake. - Integrate REST APIs and external data sources into Snowflake-based data platforms.
- 3+ years of experience in Data Engineering. - Strong hands-on expertise in Python, PySpark, SQL, and Snowflake. - Experience with REST APIs, JSON, and API-based data integration.
- Build and maintain ETL/ELT workflows for data ingestion, transformation, and processing. - Develop efficient SQL queries and optimize Snowflake performance. - Implement data quality, validation, monitoring, and automation.
- Knowledge of ETL/ELT processes, data modeling, and data warehousing. - Experience with cloud platforms such as AWS, Azure, or GCP is preferred. Additional Information
- Design, develop, and optimize data pipelines using Python, PySpark, SQL, and Snowflake. - Integrate REST APIs and external data sources into Snowflake-based data platforms. - Build and maintain ETL/ELT workflows for data ingestion, transformation, and processing.
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 28, 2026 · 1 day ago
- Recorded sightings
- 3
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Oct 26, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Description
Data Engineer - Python, PySpark, SQL, Snowflake & API Integration
Job Description:
We are seeking a skilled Data Engineer with strong hands-on experience in Python, PySpark, SQL, Snowflake, and API integrations to build scalable data pipelines and cloud-based data solutions.
Key Responsibilities:
- Design, develop, and optimize data pipelines using Python, PySpark, SQL, and Snowflake.
- Integrate REST APIs and external data sources into Snowflake-based data platforms.
- Build and maintain ETL/ELT workflows for data ingestion, transformation, and processing.
- Develop efficient SQL queries and optimize Snowflake performance.
- Implement data quality, validation, monitoring, and automation.
- Collaborate with engineering and analytics teams to deliver reliable data solutions.
Required Qualifications:
- 3+ years of experience in Data Engineering.
- Strong hands-on expertise in Python, PySpark, SQL, and Snowflake.
- Experience with REST APIs, JSON, and API-based data integration.
- Knowledge of ETL/ELT processes, data modeling, and data warehousing.
- Experience with cloud platforms such as AWS, Azure, or GCP is preferred.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Toronto, ON, Canada
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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