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Sr. Data Engineer (Snowpark, Python, SQL, Azure)- No H1B or C2C

TechLink Resources, Inc
Orlando, FL Contractor
POSTED ON 4/6/2026
AVAILABLE BEFORE 5/3/2026

PLEASE THE JOB DESCRIPTION CAREFULLY. THIS IS ON-SITE ORLANDO, FL POSITION. MUST BE ABLE TO INTERVIEW IN PERSON. NO H-1B AND NO C2C.


Senior Data Engineer (Snowflake / Python / AI-Assisted Development)


About the Role

We’re looking for a Senior Data Engineer to help build and modernize enterprise data pipelines in a cloud-based environment. This role is highly hands-on and focused on execution and delivery, working closely with architects and team leads to implement scalable data solutions.

You’ll play a key role in migrating existing data pipelines from Azure Data Factory into Snowflake (Snowpark) while leveraging modern AI-assisted development tools (like Cursor and Copilot) to improve speed, quality, and efficiency.


What You’ll Be Doing

  • Build, refactor, and maintain scalable data pipelines for enterprise data systems
  • Migrate existing ADF pipelines into Snowflake Snowpark solutions
  • Design and implement data transformations for reporting, analytics, and KPIs
  • Work heavily with Snowflake (SQL Snowpark) for data processing and storage
  • Develop and optimize Python-based data workflows
  • Integrate data from multiple sources and ensure high data quality
  • Collaborate with engineering leadership to execute on defined requirements
  • Leverage AI tools (Cursor, Copilot, etc.) for coding, debugging, and optimization
  • Ensure solutions meet performance, security, and data governance standards


What We are Looking For

  • Strong hands-on coder (not just design/architecture)
  • Deep experience with Python SQL for data engineering
  • Proven experience working with Snowflake in production
  • Experience with Azure Data Factory and translating pipelines into code
  • Someone who has done cloud data migrations (Azure → Snowflake preferred)
  • Comfortable working in Agile/Scrum environments
  • Familiar with using AI coding tools to move faster and write better code


Basic Qualifications

  • 3–5 years in Data Engineering / Data Integration
  • Advanced experience with Python and SQL (complex transformations tuning)
  • Strong experience with Snowflake
  • Experience with Azure Data Factory (ADF)
  • Experience working in Agile teams
  • Experience using AI-assisted development tools (Cursor, Copilot, etc.)


Nice to Have

  • Experience with Snowflake Snowpark, Tasks, and Streams
  • Exposure to AWS or Azure cloud environments
  • Experience with CI/CD pipelines for data engineering
  • Background in large-scale data migration projects


Why This Role Stands Out

  • High-impact work modernizing enterprise data systems
  • Exposure to cutting-edge AI-assisted development practices
  • Strong engineering culture focused on delivery and quality
  • Opportunity to work on large-scale cloud data transformations

Salary : $80 - $90

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