Data Engineer I

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 100000 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 or connect with us on LinkedIn X (formerly Twitter) Facebook and Instagram.

Position Description:

We are looking for a 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.

Position Location:

Remote Markham CA

Remote Toronto CA

Reports To:

Data Engineering Manager

What Were Looking For:

Requirements:

• 3 years of experience as a Data engineering professional developing scalable big data solutions

• Degree in Computer Science Engineering or other related fields

• Demonstrated strength in data modelling and SQL within a Lakehouse architecture

• Knowledge of cloud technologies preferably AWS

• Knowledge of big data technologies and programming language (Python) relational databases (Postgres MySQL) NoSQL (MongoDB) and streaming (Kafka Spark)

• Must have PySpark and Spark Streaming experience

• Must have Databricks experience

Additional skills:

• Excellent software engineering background with high familiarity with the software development lifecycle

• Familiarity with GitHub and version control best practices

• Strong problem-solving skills with demonstrated rigor in building and maintaining a complex data pipeline

• Good communication skills and ability to articulate complex concepts with thoughtful actionable recommendations

Unleash 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 data

• Collaborate with stakeholders to design scalable solutions

• Manage and optimize our internal data pipeline that supports marketing customer success and data science

• Focus on ingesting storing processing and analyzing large datasets

• Be a technical contributor to PARs big data platform that supports AI and BI products

• Work with infra and operations teams to monitor and optimize existing infrastructure

• Develop and implement pipelines that extract transform and load data into information products that help the organization reach its strategic goals

• Help define data governance policies and support data-versioning processes

• Occasional business trips are required

• Leverage AI tools to streamline data pipeline development accelerate root-cause analysis and automate routine data quality checks to improve engineering efficiency

Interview Process:

• Interview #1: Phone Screen with Talent Acquisition Team

• Interview #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 .If youd like more information about your EEO rights as an applicant please visit the US Department of Labors website.

Required Experience:

IC