Job Description
A large enterprise hospitality client is seeking a Snowflake Data Engineer to support their Pricing Data team as they continue expanding their recently migrated Snowflake environment. This role will focus on building and optimizing data solutions including stored procedures, tasks, tables, and views, while supporting large-scale batch processing of POS transaction data.
The team is modernizing existing pipelines and transitioning manual processes into scalable data systems, with an added focus on emerging AI and agent-based workflows within Snowflake.
This is a highly autonomous role for someone who can take requirements, design solutions, and deliver independently while maintaining strong communication with stakeholders.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
• Hands-on Snowflake development experience building directly within the platform
• Strong experience creating stored procedures, tasks, tables, and views in Snowflake
• Experience supporting batch processing workflows (overnight jobs)
• Experience working with large-scale transactional data (POS and/or menu data preferred)
• Ability to take a requirement, design a solution, and build it end-to-end independently
• Strong data engineering fundamentals and data architecture experience
Experience improving and optimizing existing data pipelines and ingestion frameworks
Nice to Have Skills & Experience
• Experience with Snowflake Cortex, semantic views, or agent-based/AI workflows
• Experience building out or supporting AI-driven data workflows
• Familiarity with Azure DevOps boards or similar tools for ticket tracking and updates
• Experience with DBT (not required, but exposure is helpful)
Experience transitioning manual/spreadsheet-based processes into structured data systems
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.