Sr. Data Engineer
AI summary of the role
Senior Data Engineer to build next-gen data tools for a retail and commerce loyalty platform.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Develop robust, scalable data pipelines using cutting-edge technologies
- Architect and develop innovative data products that drive business insights
- Utilize advanced AI techniques to transform raw data into strategic intelligence
- Collaborate with Application Development, Customer Support, Business SMEs, and stakeholders
What you’ll bring
- 5+ years of experience in data engineering or related roles
- Experience leading projects and collaborating across teams
- Hands-on experience building with LLMs and coding agents
- Proficiency in Python, SQL, Terraform
Technologies
Python · SQL · Terraform · Spark · Databricks · Structured Streaming · Postgres · DynamoDB · CircleCI · DataDog · AWS · Azure
About PAR Tech
Unified commerce platform (POS, digital ordering, loyalty, back-office, hardware) for 100,000+ restaurants and convenience/fuel sites in 110+ countries.
Public · 2000–5000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
For over four decades, PAR Technology Corporation (NYSE: PAR) has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. Our innovative solutions and commitment to excellence provide comprehensive software and hardware that enable seamless experiences and drive growth for over 100,000 restaurants in more than 110 countries. Embracing our "Better Together" ethos, we offer Unified Customer Experience solutions, combining point-of-sale, digital ordering, loyalty and back-office software solutions as well as industry-leading hardware and drive-thru offerings. To learn more, visit partech.com or connect with us on LinkedIn, X (formerly Twitter), Facebook, and Instagram. Position Description: We are seeking a Senior Data Engineer to join our team and help us build the next generation of data tools for our retail and commerce
More from the job description
For over four decades, PAR Technology Corporation (NYSE: PAR) has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. Our innovative solutions and commitment to excellence provide comprehensive software and hardware that enable seamless experiences and drive growth for over 100,000 restaurants in more than 110 countries. Embracing our "Better Together" ethos, we offer Unified Customer Experience solutions, combining point-of-sale, digital ordering, loyalty and back-office software solutions as well as industry-leading hardware and drive-thru offerings. To learn more, visit partech.com or connect with us on LinkedIn, X (formerly Twitter), Facebook, and Instagram. Position Description: We are seeking a Senior Data Engineer to join our team and help us build the next generation of data tools for our retail and commerce loyalty platform. The ideal candidate will have a passion for tackling complex challenges related to extracting insights from transactional data. In this role, you will work closely with our Application Development teams, Customer Support, Business SMEs, and stakeholders to design and implement data pipelines that transform our data into valuable insights. As we strive to scale and deploy new technologies that enhance the user experience and provide deeper insights, your expertise will be critical to [... source excerpt omitted ...] ate AI/ML models into data pipelines LLM Tools: Experience with Claude Code, Cursor, Copilot, MCP, Agent Orchestrators Version Control: Git, Github Unleash your potential: What you will be doing and owning: 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 Interview Process: Interview #1: Video Screen with Talent Acquisition Team Interview #2: Video interview with the Hiring Manager (via MS Teams) Interview #3: Video interview with the Team (via MS Teams) PAR is proud to provide equ
Employer postings · Data from · Sources