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 http://partech.com or connect with us on LinkedIn https://www.linkedin.com/company/partechnology/, X (formerly Twitter) https://twitter.com/par_tech, Facebook https://www.facebook.com/parpointofsale/, and Instagram https://www.instagram.com/partechnology/.
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 our success.
Position Location:
Remote, United States
Reports To:
Engineering Manager
What We’re Looking For:
Requirements:
- Experience: 5+ years of experience in data engineering or related roles
- Project Management: Experience leading projects and collaborating across teams
- Problem-Solving Skills: Strong analytical and problem-solving abilities
- Communication: Excellent communication skills for stakeholder engagement
- Continuous Learning: Commitment to staying updated with industry technology trends
- Agentic Engineering: Hands-on experience building with LLMs and coding agents to amplify day-to-day output, including the harnesses and internal tooling that let you and the rest of the team move faster.
Additional skills:
- Programming: Python, SQL, Terraform
- Data Modeling: Strong understanding of data modeling concepts and practices
- Big Data Technologies: Spark, Databricks, Structured Streaming
- Databases: Relational (Postgres) and NoSQL (DynamoDB) databases
- CI/CD : CircleCI, DroneCI, Github Actions, Spacelift
- Monitoring & Observability: DataDog
- Cloud Platforms: AWS or Azure and their data solutions
- Data Governance: Understanding data privacy, security, and governance practices
- AI/ML Integration: Ability to integrate 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 equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. We also provide reasonable accommodations to individuals with disabilities in accordance with applicable laws. If you require reasonable accommodation to complete a job application, pre-employment testing, a job interview or to otherwise participate in the hiring process, or for your role at PAR, please contact [email protected]. [email protected] you’d like more information about your EEO rights as an applicant, please visit the US Department of Labor's website.