
1001 - 5000 employees
Founded 1982
🏢 Enterprise
☁️ SaaS
Hospitality • Enterprise • SaaS
PAR Technology is a company that provides a comprehensive suite of technology solutions aimed at the restaurant and hospitality industries. Their offerings include point of sale (POS) systems, digital ordering platforms, payment services, and customer loyalty solutions. PAR Technology aims to streamline restaurant operations through cloud-based technologies that improve speed of service, reduce wait times, and enhance the overall guest experience. They cater to various settings such as quick service, fast-casual, cinemas, casinos, theme parks, hospitality establishments, and convenience stores. By integrating various processes from front of house to back of house, PAR Technology supports a unified commerce experience for enterprises and businesses aspiring for growth.
🕒 May 15
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1001 - 5000 employees
Founded 1982
🏢 Enterprise
☁️ SaaS
Hospitality • Enterprise • SaaS
PAR Technology is a company that provides a comprehensive suite of technology solutions aimed at the restaurant and hospitality industries. Their offerings include point of sale (POS) systems, digital ordering platforms, payment services, and customer loyalty solutions. PAR Technology aims to streamline restaurant operations through cloud-based technologies that improve speed of service, reduce wait times, and enhance the overall guest experience. They cater to various settings such as quick service, fast-casual, cinemas, casinos, theme parks, hospitality establishments, and convenience stores. By integrating various processes from front of house to back of house, PAR Technology supports a unified commerce experience for enterprises and businesses aspiring for growth.
• Developing robust, scalable data pipelines using cutting-edge technologies • Architecting and developing innovative data products that drive business insights • Utilizing advanced AI techniques to transform raw data into strategic intelligence
• 5+ years of experience in data engineering or related roles • Experience leading projects and collaborating across teams • Strong analytical and problem-solving abilities • Excellent communication skills for stakeholder engagement • Commitment to staying updated with industry technology trends • Agentic Engineering: Hands-on experience with LLMs and coding agents • Strong understanding of data modeling concepts and practices • Familiarity with Big Data Technologies: Spark, Databricks, Structured Streaming • Experience with Relational (Postgres) and NoSQL (DynamoDB) databases • Knowledge in CI/CD: CircleCI, DroneCI, Github Actions, Spacelift • Understanding data privacy, security, and governance practices • Ability to integrate AI/ML models into data pipelines • Experience with LLM Tools: Claude Code, Cursor, Copilot, MCP, Agent Orchestrators • Proficiency in Git, Github
• Equal employment opportunities (EEO) • Reasonable accommodations for individuals with disabilities • Commitment to diversity and inclusion
Apply Now🕒 May 15
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