PAR Technology Corporation
Technology
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at PAR Technology Corporation. Skills: Data engineering, Big data, Data pipelines. Work with large data sets. Implement sophisticated data pipelines”
Industry & Context.
Problem-solving skills; Root cause analysis
Occasional business trips
What They're Looking For.
Must Have
3+ years of experience as a Data engineering professional, Degree in Computer Science, Engineering, or other related fields, Demonstrated strength in data modelling and SQL, Knowledge of cloud technologies, Knowledge of big data technologies and programming language (Python), Knowledge of relational databases (Postgres, MySQL), Knowledge of NoSQL (MongoDB), Knowledge of streaming (Kafka, Spark), Must have PySpark and Spark Streaming experience, Must have Databricks experience
Nice to Have
AWS knowledge preferred, Excellent software engineering background, Familiarity with the software development lifecycle, Familiarity with GitHub, Familiarity with version control best practices, Problem-solving skills with demonstrated rigor, Good communication skills, Ability to articulate complex concepts
What You'll Do.
Work with large data sets
Implement sophisticated data pipelines
Collaborate with stakeholders to design scalable solutions
Manage internal data pipeline
Optimize internal data pipeline
Focus on ingesting large datasets
Focus on storing large datasets
Focus on processing large datasets
Focus on analyzing large datasets
Be a technical contributor to PAR’s big data
Work with infra and operations teams
Monitor existing infrastructure
Optimize existing infrastructure
Develop and implement pipelines
Load data into information products
Help define data governance policies
Support data-versioning processes
Leverage AI tools to streamline data pipeline development
Leverage AI tools to accelerate root-cause analysis
Leverage AI tools to automate routine data quality
How You'll Work.
Team & Collaboration
Collaboration with Machine Learning; Collaboration with Software Engineering; Collaboration with Product Departments; Work with infra and operations teams
Communication Scope
Articulate complex concepts
Full 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 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 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 We’re 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 -
Applying for this Data Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Ashby
- Ashby is a fast modern ATS — most applications take under 3 minutes.
- The resume parser is strong; verify parsed experience dates and job titles.
- Custom screening questions are often scored algorithmically — answer completely.
- Location field affects geo-based screening; use your actual metro area.
ANONYMOUS · UNFILTERED
What do employees actually say about PAR Technology Corporation?
Real rants from real employees. Read before you apply.