Sr. Data Engineer

Senior Data EngineerFor over four decades, PAR Technology Corporation 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.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 StatesReports To: Engineering ManagerWhat We're Looking For:Requirements:Experience: 5+ years of experience in data engineering or related rolesProject Management: Experience leading projects and collaborating across teamsProblem-Solving Skills: Strong analytical and problem-solving abilitiesCommunication: Excellent communication skills for stakeholder engagementContinuous Learning: Commitment to staying updated with industry technology trendsAgentic 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, TerraformData Modeling: Strong understanding of data modeling concepts and practicesBig Data Technologies: Spark, Databricks, Structured StreamingDatabases: Relational (Postgres) and NoSQL (DynamoDB) databasesCI/CD: CircleCI, DroneCI, Github Actions, SpaceliftMonitoring & Observability: DataDogCloud Platforms: AWS or Azure and their data solutionsData Governance: Understanding data privacy, security, and governance practicesAI/ML Integration: Ability to integrate AI/ML models into data pipelinesLLM Tools: Experience with Claude Code, Cursor, Copilot, MCP, Agent OrchestratorsVersion Control: Git, GithubUnleash your potential: What you will be doing and owning:Developing robust, scalable data pipelines using cutting-edge technologiesArchitecting and developing innovative data products that drive business insightsUtilizing advanced AI techniques to transform raw data into strategic intelligenceInterview Process:Interview #1: Video Screen with Talent Acquisition TeamInterview #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 View email address on click.appcast.io. If you'd like more information about your EEO rights as an applicant, please visit the US Department of Labor's website.