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

PLEASE THE JOB DESCRIPTION CAREFULLY. THIS IS ON-SITE LOS ANGELES 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