Job Description
Insight Global is seeking an AI Data Engineer for a top global Quick Service Restaurant (QSR) enterprise. This role sits at the intersection of data engineering and applied AI, focused on building reliable, scalable data foundations that power analytics, semantic consistency, and AI-driven decision support. The engineer will own ingestion and transformation pipelines for POS and back-office systems, ensuring high-quality, standardized data flows into the enterprise platform to enable trusted insights and intelligent AI use cases at global scale.
Day-to-Day:
• Design and build data ingestion pipelines for global POS systems
• Integrate data from back-office vendor platforms (labor, inventory, finance)
• Support multiple ingestion patterns (batch, streaming, APIs)
• Normalize and standardize data across vendors, regions, and brands
• Ensure data freshness, completeness, and consistency
• Build scalable ETL/ELT pipelines for real-time and batch workloads
• Optimize pipelines for performance, reliability, and cost
• Support semantic layer enablement by modeling standardized KPIs
• Capture metadata, lineage, and schema details to support AI systems
• Implement data validation, monitoring, and schema versioning
Partner with analytics and AI teams to improve downstream insights
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
• 5+ years of experience in data engineering
• Strong SQL and Python
• Experience with cloud data platforms (Snowflake preferred) and modern data stack
• Experience with Agentic development tools such as Codex, Cursor, or Claude code
• Experience in quick service restaurants, or similar retail industries (open to hospitality)
• Experience with Airflow and AWS Glue
Nice to Have Skills & Experience
• Experience integrating vendor systems (labor, finance, inventory)
• Experience with semantic layers and metadata tools
Experience enabling data for AI/LLM use cases
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.