Must be able to work PST hours
Looking for a solid Data Engineer with Snowflake experience to support downstream data processing, analytics, and pipelining work. This role is expected to involve end-to-end data engineering responsibilities, covering data ingestion, data modeling, as well as downstream data processing, pipelining, and analytics support.
The ideal candidate will have a strong academic foundation, 5–7 years of experience, and hands-on expertise working with Snowflake-based data platforms.
Key Responsibilities
• Build, maintain, and optimize downstream data pipelines for analytics and reporting
• Work on data processing, transformations, and orchestration within Snowflake environments
• Support analytics and BI use cases by delivering clean, reliable datasets
• Collaborate with analytics, reporting, and application teams to meet data needs
• Troubleshoot and resolve data pipeline and performance issues
• Follow best practices for data quality, security, and governance
Required Skills & Experience
• 5–7 years of experience as a Data Engineer
• Strong hands-on experience with Snowflake
• Experience working on data processing, pipelining, and analytics workflows
• Solid SQL skills and understanding of data transformation concepts
• Strong academic background
Good to Have
• Azure exposure (preferred)
• AWS experience is acceptable if Azure exposure is limited
• Experience in the insurance domain is a plus (not mandatory)
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