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

TechLink Resources
Winter Park, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Winter Park, United States of America

Tech stack

Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Big Data
Information Engineering
Data Governance
Data Integration
Data Transformation
Cursor (Graphical User Interface Elements)
Software Debugging
Programming Tools
Python
Performance Tuning
SQL Databases
Data Processing
Azure
Snowflake
Code Restructuring
Data Pipelines

Job description

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

Requirements

  • 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, * 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, * Strong engineering culture focused on delivery and quality
  • Opportunity to work on large-scale cloud data transformations

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