Engineering Manager

Who We Are

Hunger Rush is a leading provider of integrated restaurant technology solutions. Hunger Rush 360 is our flagship cloud POS system that makes it easier to delight guests, drive loyalty, and manage restaurants from anywhere. The all-in-one system integrates digital ordering (including AI-powered text and talk ordering), delivery management, customer engagement, restaurant management, and payment processing features with flexible software designed to give operators more insight into their customers, more control over their operations, and more power to profitably grow their business.

Learn more at

This Engineering Manager (Player/Coach) role is responsible for leading a team of software engineers while also contributing hands-on to the technical design and development of the Reporting & Analytics product area. In this hybrid leadership role, you will be accountable for engineering delivery, team development, architectural direction, and maintaining high standards of software quality—while still actively participating in coding, reviewing, troubleshooting, and helping solve complex engineering challenges.

You will work across the full development lifecycle, partnering closely with product, engineering, and business stakeholders to deliver high-impact features. As a player/coach, you will shape engineering culture, cultivate strong technical talent, and ensure that the team is aligned with Hunger Rush’s goals as we transition into an era where AI-enabled development becomes a core part of how we operate. Our focus is on embedding AI into our internal processes to streamline development, improve decision-making, and accelerate the delivery of business value.

We are looking for a leader who is excited to innovate, adapt quickly, and help build a high-performing engineering organization.

Your team will own the end-to-end reporting pipeline—from ingestion to modeling to delivery—using technologies such as Azure Data Explorer (ADX),
SQL Server / T-SQL
, C#, and VueJS
, supported by strong Azure infrastructure
. Deep experience with analytics best-practices (grains, dimensions, aggregates, semantic modeling) is essential.

This role is critical in evolving the Hunger Rush data platform into a scalable, high-performance source of truth for customers and internal teams.

This is a remote role.

Lead, mentor, and grow a team of reporting and analytics engineers in a hands-on player/coach capacity.

• Drive engineering excellence, technical strategy, and architectural decisions for the reporting platform.
• Reinforce a culture of ownership, transparency, innovation, and continuous improvement.
• Oversee hiring, performance management, and career development for the team.

• Architect and deliver scalable reporting and analytics solutions using:
• Azure Data Explorer (ADX) and KQL
• SQL Server / T-SQL
• Azure infrastructure (Azure Container Apps, Storage, etc.)
• C# for backend services and integration components
• VueJS for reporting and analytics UI experiences

• Build and maintain high-performance data ingestion, transformation, and query pipelines for real-time and near-real-time reporting.

• Build and operate deployment pipelines using Git Hub Actions.

• Develop meaningful and intuitive reporting features that leverage strong data modeling fundamentals
  —including proper grains, dimensions, aggregates, and semantic layers.

• Ensure our data and reporting platforms meet high standards for reliability, performance, and scalability.

• Participate hands-on in coding, code reviews, debugging, and complex problem resolution.

• Partner closely with Product, Data Engineering, and Platform Engineering to define the roadmap and deliver high-impact features.

• Translate business reporting needs into technical architecture and execution plans.
• Work with product managers to shape the analytics roadmap and define success metrics.
• Collaborate with Customer Success and Support teams to address customer data requirements, performance issues, and enhancements.
• Promote analytics best-practices across the organization.
• Position the system for A.I. driven analytics.