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Posted 11 days ago

Data Engineer - Python, PySpark, SQL, Snowflake & API Integration

@ TMS LLC

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Toronto, Ontario

$35–$40/hrRemoteContract3+ years experience
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Overview

TMS LLC is hiring a contract Data Engineer to build scalable data pipelines and cloud-based data solutions. The work covers Python, PySpark, SQL and Snowflake, plus integrating REST APIs and external data sources. The posting requires 3+ years of data engineering experience.

Pay:

$35–$40 an hour

Responsibilities:

  • Design and optimize data pipelines with Python, PySpark, SQL and Snowflake
  • Integrate REST APIs and external data sources into Snowflake
  • Build and maintain ETL/ELT workflows
  • Implement data quality, validation and monitoring

Requirements summary:

  • 3+ years of data engineering experience
  • Strong hands-on expertise in Python, PySpark, SQL and Snowflake
  • Experience with REST APIs, JSON and API-based integration
  • Knowledge of ETL/ELT, data modeling and data warehousing
  • AWS, Azure or GCP experience preferred

Tools & skills

SnowflakePySparkPythonSQL
Source and dates

Employer career site / ATS feed · smartrecruiters

Employer posting date
2026-10-26
First seen by our source
2026-10-27
Source record updated
2026-10-27

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityMid level
DepartmentSoftware development
Experience3+ years
Travelair: none · ground: none
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

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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.

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