Job Description
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) Apply tot his job