Data Engineer

Job Title: AI Data Engineer Duration: 6+ month contract Interview Process: 2 rounds Must Haves: • 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 Plusses: • Experience integrating vendor systems (labor, finance, inventory) • Experience with semantic layers and metadata tools • Experience enabling data for AI/LLM use cases 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