Data Engineer Snowflake & Fabric strictly w2 only

Remote β€’ Posted 6 hours ago β€’ Updated 6 hours ago
Contract W2
Remote
$40 - $45/hr
Fitment

Dice Job Match Scoreβ„’

πŸ‘Ύ Reticulating splines...

Job Details

Skills

  • Data Quality
  • ADF
  • Analytics
  • Cloud Computing
  • Data Engineering
  • Extract
  • Transform
  • Load
  • Data Flow
  • Data Modeling
  • Data Validation
  • Data Warehouse
  • Microsoft SSIS
  • Databricks
  • ELT
  • FOCUS
  • Microsoft
  • Microsoft Azure
  • Microsoft Power BI
  • Migration
  • Query Optimization
  • Reporting
  • SQL
  • Snow Flake Schema
  • Video

Summary

Data Engineer Snowflake & Microsoft Fabric
Location: Remote
Interview Process: 1 2 rounds (Video)

Position Overview
We are seeking a Data Engineer with strong experience in Snowflake and modern data pipeline development to support ongoing data platform initiatives. This role will focus on building, optimizing, and maintaining scalable data pipelines using cloud-based tools within the Microsoft ecosystem, including exposure to Microsoft Fabric or similar technologies (e.g., Azure Data Factory, Databricks).

Key Responsibilities

  • Design, develop, and maintain data pipelines supporting ingestion, transformation, and loading of data into Snowflake
  • Work with Microsoft Fabric (or equivalent tools such as Azure Data Factory / Databricks) to build scalable data workflows
  • Develop and optimize ETL/ELT processes for structured and semi-structured data
  • Collaborate with business and analytics teams to support reporting and data consumption needs
  • Perform data validation, troubleshooting, and performance tuning
  • Support integration between Snowflake and downstream tools (e.g., Power BI or other reporting platforms)

  • Ensure data quality, consistency, and reliability across pipelines

Required Skills

  • 5+ years of experience in data engineering / ETL development
  • Strong hands-on experience with Snowflake
  • Experience with modern data pipeline tools, such as:
    • Microsoft Fabric (preferred but not required)
    • Azure Data Factory (ADF)
    • Databricks
  • Strong SQL skills (query optimization, data modeling, transformations)
  • Experience working in cloud environments (Azure preferred)

  • Understanding of data warehousing concepts and ELT pipelines

Nice to Have

  • Experience with Microsoft Fabric (Dataflows, Pipelines, Lakehouse, etc.)
  • Exposure to Power BI or reporting tools
  • Experience working with large-scale or enterprise data platforms
  • Prior experience migrating from legacy ETL tools (e.g., SSIS) to cloud-based solutions

Employers have access to artificial intelligence language tools (β€œAI”) 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: 10123687
  • Position Id: 8941051
  • Posted 6 hours ago
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