Job Overview
Location
Markham
Job Type
Full-time
Category
Software Engineering
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Design, build, and optimize scalable big data pipelines using structured and semi-structured data to support AI, BI, marketing, customer success, and data science initiatives.
- • Lead the development and maintenance of PAR’s enterprise big data platform, ensuring reliability, performance, and scalability for critical business intelligence and machine learning products.
- • Collaborate closely with Machine Learning, Software Engineering, and Product teams to translate business requirements into robust data solutions that serve both internal stakeholders and external clients.
- • Implement data ingestion, transformation, and loading (ETL/ELT) workflows using PySpark and Spark Streaming within a Lakehouse architecture.
- • Leverage Databricks as the core platform for data processing, orchestration, and analytics, ensuring seamless integration with cloud-based data sources and sinks.
- • Utilize AWS and Azure cloud technologies to deploy, monitor, and optimize data infrastructure, including storage, compute, and networking components.
- • Manage relational databases (PostgreSQL, MySQL) and NoSQL systems (MongoDB) to support diverse data storage needs across the organization.
- • Integrate streaming data from Kafka into real-time analytics pipelines to enable timely decision-making and operational responsiveness.
- • Establish and enforce data governance policies, including data versioning, lineage tracking, and quality controls to ensure trust and compliance.
- • Partner with infrastructure and operations teams to monitor system health, troubleshoot pipeline failures, and improve resource efficiency.
- • Apply AI tools to automate routine data engineering tasks, generate insights from datasets, and accelerate reporting cycles to enhance engineering productivity.
- • Maintain version control practices using GitHub for all data pipeline code, ensuring traceability, collaboration, and CI/CD alignment.
- • Participate in the full software development lifecycle, from requirements gathering and design to testing, deployment, and post-launch support.
- • Communicate complex technical concepts clearly to non-technical stakeholders, providing actionable recommendations based on data findings.
- • Travel occasionally for business meetings, client engagements, or cross-team collaboration sessions.
🎯 Requirements
- • 5+ years of experience as a Senior Data Engineer developing scalable big data solutions
- • Advanced degree in Computer Science, Engineering, or a related field
- • Demonstrated expertise in data modeling and SQL within a Lakehouse architecture
- • Extensive experience with AWS and Azure cloud platforms
- • Advanced proficiency in Python, Java, PySpark, Spark Streaming, Databricks, Kafka, and big data technologies
- • Hands-on experience with relational databases (PostgreSQL, MySQL) and NoSQL systems (MongoDB)
🏖️ Benefits
- • Equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, or genetics
- • Reasonable accommodations available for individuals with disabilities during the hiring process and in the workplace
- • Opportunity to work on cutting-edge data platforms supporting AI and BI products for over 100,000 restaurants globally
- • Collaborative environment aligned with PAR’s "Better Together" ethos
Skills & Technologies
Python
Java
PostgreSQL
MySQL
MongoDB
Senior
Remote
About PAR Technology Corporation
PAR Technology Corporation provides cloud-based point-of-sale and back-office software, integrated hardware, and professional services for restaurants and retail chains worldwide. The Brink POS and PAR Data Central platforms manage orders, inventory, labor, and customer engagement across corporate and franchise locations, while rugged terminals and kitchen systems ensure reliable operations. Founded in 1968, the company supports multi-unit brands such as Taco Bell, Subway, and Arby’s with scalable solutions, analytics, and 24/7 support to improve efficiency and guest experience.
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