Data Engineering - Intern

About Us:

We are an innovative restaurant group building a next-generation Restaurant Analytics Platform that connects kitchen operations, POS systems, and business intelligence into one powerful data ecosystem. Our goal is to transform real-time restaurant performance data into actionable insights that drive growth and efficiency across multiple locations.

This is a hands-on opportunity to work alongside experienced architects and business owners to design and implement a complete end-to-end data pipeline using Azure Data Services and Databricks — from ingestion to visualization.

What You’ll Do:

• Design, build, and optimize data ingestion and transformation pipelines using Azure Data Factory, Databricks, and Delta Lake
• Work on ETL/ELT processes integrating POS, inventory, and operational data sources
• Assist in developing data models, metadata layers, and dashboards for restaurant analytics
• Collaborate closely with technical leads to ensure data quality, scalability, and performance
• Document workflows, data lineage, and key technical design decisions
• Explore and integrate APIs and external data sources to enrich analytics insights
• Support proof-of-concept builds for predictive analytics and data visualization

What We’re Looking For:

• Currently pursuing or recently completed a degree in Computer Science, Data Engineering, Information Systems, or related field
• Solid understanding of Azure Data Services — especially Azure Data Factory, Azure Storage, Azure SQL, Synapse, and Databricks
• Strong SQL and Python skills for data manipulation and transformation
• Understanding of data architecture principles, data modeling, and ETL frameworks
• Enthusiastic learner with a “can-do” attitude, self-driven, and passionate about hands-on problem solving
• Ability to thrive in a fast-paced startup environment and collaborate with cross-functional teams
• Excellent communication and documentation skills

What You’ll Gain:

• Real-world experience building a full end-to-end analytics product in Azure
• Mentorship from experienced Enterprise Architects and Data Engineers
• Opportunity to contribute directly to a live restaurant analytics product launch
• Potential conversion to a paid programmer role upon successful product rollout

Location: Knoxville, TN (Onsite Only)
Duration: 3–6 Months (Internship, Full-Time)
Schedule: Monday – Friday, 9:00 AM – 5:00 PM (40 hours per week)
Conversion Opportunity: Potential paid programmer role upon successful product launch and client acquisition

Job Type: Internship

Work Location: In person