Data Engineer
- Python, PySpark, SQL, Snowflake & API Integration (New Role)
- Canada
- Remote Hybrid in Ontario, CA, US
- Posted 3 hours ago
- Updated 3 hours ago Contract Independent Contract W2 12 Months No Travel Required Remote $45
- $50/hr Fitment Dice Job Match Score™ 🔢 Crunching numbers... Job Details Skills Data Engineer Python PySpark SQL Data Engineer Python PySpark SQL Summary Data Engineer
- Python, PySpark, SQL, Snowflake & API Integration (New Role) Client
- Fitch Ratings Canada
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Remote 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 Google Cloud Platform is preferred. Employers have access to artificial intelligence language tools ("AI") that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Dice Id:
91098730
Position Id:
9125113 Posted 3 hours ago