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

Technology Management Solutions · English · IT Consulting & Digital Transformation · Management Consulting · Python · SQL · ETL/ELT · 2 days ago
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$50k – $56k per year
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Remote (Canada)
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Principal · 3+ years exp
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Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Oct 26, 2026.

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Technology Management Solutions

Technology Management Solutions (TMS) is a certified Service-Disabled Veteran-Owned Small Business providing management consulting and IT services to federal, state, and commercial clients. The company specializes in IT advisory, program and project management, financial management, and organizational assessments to support complex agency and enterprise missions. By combining industry frameworks with tailored strategies, it helps organizations modernize technology infrastructure, optimize operations, and achieve long-term performance goals.
tmsllc.com · HQ: Arlington, United States · Management Consulting · IT Consulting & Digital Transformation
Tech stack of Technology Management Solutions

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.

All your information will be kept confidential according to EEO guidelines.

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