Senior Data Engineer

Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake and cloud technologies
• Own and manage cost optimization for Product and Data Science team operations
• Optimize pipelines for performance, reliability, and efficiency
• Build and maintain dashboards and reporting platforms using Streamlit
• Collaborate with cross-functional teams to gather requirements and deliver robust data solutions
• Work with modern AI tools, including Cursor, to accelerate development
• Implement data governance, security best practices, and access control policies
• Develop and enforce data quality checks, SLA monitoring, and dependency tracking
• Utilize version control systems (e.g., Git) and manage deployment workflows
• Proactively troubleshoot and resolve data-related issues

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field
• Proven hands-on experience with Snowflake, including data modeling, ETL/ELT development, and performance tuning
• Advanced proficiency in Python for scripting and automating data workflows
• Proven experience working with Spark for large-scale data processing
• Demonstrated experience building Streamlit applications integrated with Snowflake
• Strong command of SQL for complex data querying and analysis
• Familiarity with cloud platforms such as AWS, Azure, or GCP

Preferred Qualifications

• Master’s degree in Computer Science, Engineering, or a related discipline
• Strong understanding of data warehousing principles, architecture, and best practices
• Experience working within Agile development frameworks

About the Company

Snowflake is powering the era of the agentic enterprise, helping customers reinvent how they work through cloud-based data warehousing and AI-native solutions.