Senior Data Engineer

🕒 May 15

🇺🇸 United States – Remote

💵 $130k - $144k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 35%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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PAR Technology

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1982

🍽️ Food & Beverage

💼 Consulting

📦 Logistics

Food & Beverage • Consulting • Logistics

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.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Equal employment opportunities (EEO) • Reasonable accommodations for individuals with disabilities • Commitment to diversity and inclusion