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 looking for a Senior Data Engineer that will play a critical role in shaping our data innovations. They will help create cutting-edge Big Data solutions by leveraging their prior industrial experience. This role requires close collaboration with the Machine Learning, Software Engineering, and Product Departments where you will be given the opportunity to not only serve internal teams, but also our business clients.Reports To: Data Engineering ManagerWhat We’re Looking For:Requirements:5+ years of experience as a Sr Data engineering professional, developing scalable big data solutionsAdvanced degree in Computer Science, Engineering, or other related fieldsDemonstrated strength in data modelling and SQL within a Lakehouse architectureExtensive knowledge of cloud technologies, e.g. AWS and AzureAdvanced knowledge of big data technologies and programming languages (Python, Java), relational databases (Postgres, MySQL), NoSQL (MongoDB), and streaming (Kafka, Spark)Must have PySpark and Spark Streaming experienceMust have Databricks experienceAdditional skills:Excellent software engineering background with high familiarity with the software development lifecycleFamiliarity with GitHub and version control best practicesStrong problem-solving skills with demonstrated rigor in building and maintaining complex data pipelinesExceptional communication skills and ability to articulate complex concepts with thoughtful, actionable recommendationsUnleash your potential: What you will be doing and owning:Work with large data sets and implement sophisticated data pipelines with both structured and semi-structured dataCollaborate with stakeholders to design scalable solutionsManage and optimize our internal data pipeline that supports marketing, customer success and data scienceFocus on ingesting, storing, processing, and analyzing large datasetsBe a technical leader of PAR’s big data platform that supports AI and BI productsWork with infra and operations teams to monitor and optimize existing infrastructureDevelop and implement pipelines that extract, transform, and load data into information products that help the organization reach its strategic goalsHelp define data governance policies and support data-versioning processesOccasional business trips are requiredLeverage AI tools to streamline data pipeline development, generate data insights, and automate reporting to accelerate engineering productivity and decision-makingInterview Process:Interview #1: Phone Screen with Talent Acquisition TeamInterview #2: Video interview with the Hiring Manager (via MS Teams)Interview #3: Video interview (technical) with the Team (via MS Teams)Interview #4: Video interview (technical) 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
accommodations@partech.com. If you’d like more information about your EEO rights as an applicant, please visit the US Department of Labor's website.
