Snowflake Senior Data Engineer
Senior
Cloud Data Engineering
Cloud Data Warehouse
Cloud Data Warehouse
Cloud Platform
Cloud Platforms
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Integration Tools
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Data Warehousing
Database
Databases
ETL
Informatica
Programming Language
Programming Languages
Snowflake
Software Development
SQL
Job Description
Join a team building reliable data solutions using Snowflake, SQL, and Python. This onsite role in the United States focuses on designing data models and pipelines that support business applications and data needs, while maintaining efficient, accurate code that keeps systems performing well. Compensation for this position ranges from USD 61,000 to 99,000 per year.
Responsibilities
- Design and develop Snowflake data models and data pipelines aligned to business requirements
- Write complex SQL queries to support extraction, transformation, and loading (ETL) workflows
- Develop and maintain Python scripts to automate tasks and support data processing activities
- Collaborate with the team to ensure smooth integration of solutions into existing systems
- Troubleshoot and debug code to maintain both system performance and data accuracy
- Stay current with industry best practices and emerging trends in Snowflake, SQL, and Python
Requirements
- Proficiency with the Snowflake data warehousing platform
- Strong skills in SQL for data extraction and manipulation
- Experience with Python for scripts and automation
- Understanding of data modeling concepts and ETL processes
- Ability to work in a fast-paced environment and manage multiple priorities
- Problem-solving and analytical skills
- Strong communication and interpersonal abilities to collaborate with team members and stakeholders
Technologies
Snowflake, SQL, Python, MS SQL, ETL
Preferred Certification
- SnowPro Core Certification in Snowflake is preferred, but not mandatory
Must Have Skills
- MS SQL, Python, Snowflake