Staff Data Integrations Engineer - Connex Integration

Crunchtime helps multi-unit restaurants operate every location like their best one. Trusted by 850+ brands across 150,000+ locations worldwide, Crunchtime connects the full operations management lifecycle across inventory management, labor and scheduling, kitchen management, and operations execution, in the industry’s only complete, AI-powered suite. Top operators, including Jersey Mike’s, Five Guys, Smoothie King, Wingstop, and Chili’s, rely on Crunchtime to achieve profitability and deliver great guest experiences every day in every store. To learn more, visit Crunchtime.com . Global restaurant brands run their operation on the CrunchTime platform. Delivering a consistent guest experience across every location and managing food and labor costs are at the core of how CrunchTime’s software is used today in over 100,000 locations across 100+ countries by the world’s top restaurant and foodservice operators. Customers including Chipotle, Culver’s, Domino’s, Dunkin’, Five Guys and P.F. Chang’s rely on our top-ranked platform which now includes Zenput to manage inventory, staff scheduling, learning and development, food safety, operational tasks and audits. About the Role We are looking for a high-impact Staff Data Engineer to serve as a technical leader, system thinker, and collaborative innovator on our engineering team. In this role, you will architect and evolve our scalable data integration platform, directly shaping the technical strategy that powers critical insights and drives business success for our customers. You will work alongside talented, empathetic engineers, product managers, and designers in a fast-paced, high-growth environment where continuous learning, ownership, and technical excellence are deeply valued. If you thrive on solving complex, ambiguous data challenges and elevating those around you, we want to hear from you! Our Tech Stack Core Platform & Data Warehouse : Snowflake, SQL, Coalesce Languages & Integration: Python, RESTful / Public APIs Cloud & Infrastructure: AWS (Lambda, API Gateway, Serverless Architecture) Engineering Practices : TDD, CI/CD, DevOps, Automated Testing, Metadata Management Key Responsibilities Architect & Scale Solutions : Design and deliver highly dynamic, configuration-driven data integration features and software solutions that scale seamlessly with business demand. Technical Leadership & Governance : Lead technical decision-making by crafting Architecture Decision Records (ADRs) and Requests for Comments (RFCs) to foster transparency, architectural alignment, and long-term trust. Performance & Cost Optimization : Drive system performance diagnostics, optimize database and API architectures, and lead cost-effective cloud resource management. Engineering Excellence & Automation : Champion TDD, CI/CD, and DevOps best practices. Build automated health monitoring and self-healing systems to minimize operational friction and eliminate preventable human errors. Cross-Functional Collaboration : Work closely with Product Managers, Designers, and Engineering Managers in an agile environment to iteratively plan, scope, and ship high-value features. Mentorship & Escalated Support : Provide high-level technical escalation support while actively mentoring and empowering fellow engineers to grow their technical skillsets. What You Bring 7+ years of software engineering experience building complex, enterprise-grade data integration platforms at scale. 2+ years of hands-on experience designing and optimizing data solutions within Snowflake. Proven track record in system performance diagnostics, database optimization, public-facing API design, auto-scaling, and robust security management. Deep experience with configuration-driven software design, metadata management, and automated deployment pipelines. Strong foundation in computer science fundamentals, data structures, and algorithmic design. Nice to Have Hands-on expertise with AWS Lambda, AWS API Gateway, and serverless data architecture. E…