
SaaS • Hardware • B2B
HungerRush is an all-in-one restaurant technology provider that offers a cloud-based POS platform along with integrated online ordering, payment processing, marketing and loyalty tools, delivery and curbside management, restaurant-grade hardware, and AI-driven voice/text ordering. The company builds software and hardware solutions to streamline restaurant operations, improve guest experience, and drive repeat business for multi-location and franchise operators.
8 hours ago

SaaS • Hardware • B2B
HungerRush is an all-in-one restaurant technology provider that offers a cloud-based POS platform along with integrated online ordering, payment processing, marketing and loyalty tools, delivery and curbside management, restaurant-grade hardware, and AI-driven voice/text ordering. The company builds software and hardware solutions to streamline restaurant operations, improve guest experience, and drive repeat business for multi-location and franchise operators.
• Design, build, and maintain ETL/ELT pipelines to consolidate data across multiple SQL databases and services • Implement ingestion and aggregation flows into Azure Data Explorer (ADX) or other analytical data stores • Develop high-performance aggregated tables and models used by customer-facing reports and dashboards • Collaborate on a semantic data layer to make data consistent and consumable by AI/LLM-powered features • Ensure high data quality, lineage, observability, and reliability across the data platform • Work with product and AI teams to build datasets optimized for recommendations, anomaly detection, or LLM reasoning • Optimize query performance, storage layout, indexing/partitioning strategies, and ingestion throughput • Participate in architectural decisions for the evolution of the reporting platform • Enable self-service analytics by modeling datasets with clear metrics and dimensions
• 4+ years experience as a Data Engineer or similar role • Strong SQL expertise, including performance tuning and complex transformations • Proven experience building data pipelines (ETL/ELT) using tools such as Azure Data Factory, Databricks, Synapse, or similar • Experience with at least one distributed analytics engine (ADX, Snowflake, BigQuery, Redshift, etc.) • Strong data modeling experience (star schema, dimensional modeling, or equivalent) • Experience integrating multiple heterogeneous data sources • Solid programming skills in Python (or another scripting language) • Familiarity with cloud data architectures (Azure preferred)
• Work on a team building mission-critical data and reporting capabilities used by thousands of restaurants • Work with modern data and cloud technologies, driving meaningful architectural impact • Collaborative environment that values innovation, ownership, and engineering excellence • Opportunities for growth as we scale our platform, datasets, and customer-facing analytics experiences
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