Data Engineer at Cymax Group Technologies Ltd

Vancouver, British Columbia, Canada -

Full Time

Start Date

Immediate

Expiry Date

25 Sep, 26

Salary

110000.0

Posted On

27 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ETL/ELT Pipeline Development, SQL, Data Warehousing, Python, Scala, Java, Azure, Databricks, SQL Server, Airflow, Prefect, Dagster, Git, Celigo, Data Governance, Data Modeling

Industry

Software Development

Description

Are you energized by building the infrastructure that turns raw data into business decisions? Do you thrive in environments where engineering rigour, cross-functional collaboration, and a bias for automation define success? If you’re ready to help shape the data foundation of a fast-moving ecommerce technology company, Cymax Group Technologies wants you on our team. ABOUT CYMAX GROUP TECHNOLOGIES At Cymax Group Technologies, we enable leading brands and retailers to compete and win in the digital marketplace through advanced technology, data-driven insights, and optimized logistics. We are a tech-enabled brand accelerator operating in home, lifestyle, and adjacent categories. Our proprietary platforms—Channel Gate and Freight Club—combine automation, AI, and more than two decades of ecommerce expertise to streamline multi-channel selling, increase operational efficiency, and drive scalable growth. We support hundreds of partners across North America, helping them navigate and outperform within complex marketplaces such as Amazon, Walmart, Wayfair, and others. Our focus is simple: deliver performance, remove friction, and create sustainable competitive advantage for our partners. Recognized as one of Canada’s fastest-growing technology companies, Cymax Group fosters a high-performance culture built on grit, agility, and accountability—where we take ownership, use data to drive clear decisions, think strategically while executing with precision, and consistently raise the bar to deliver results today that position us for tomorrow. THE ROLE We are looking for a technically strong and collaborative Data Engineer to join our Pricing & Data Science team. You’ll design, build, and maintain the scalable data pipelines and architectures that power our analytics and business intelligence capabilities—working across a hybrid cloud and on-premises environment in a fast-moving ecommerce context. This role supports both our eCommerce and Freight Club business units and works closely with data analysts, data scientists, software engineers, and business stakeholders to ensure our data infrastructure supports current and future needs. This is a hybrid role, based in the Vancouver, BC area. The ideal candidate will work 2 days in the Vancouver office, with the flexibility to work remotely for the remainder of the week. WHAT YOU’LL DO PIPELINE & ARCHITECTURE * Design, develop, and deploy scalable ETL/ELT processes to ingest, transform, and store structured and unstructured data from various internal and external sources. * Optimize data workflows for performance, reliability, and cost-efficiency in a hybrid cloud (Azure/Databricks) and on-prem environment (SQL Server). * Maintain and enhance our data warehouse, data lake, and other storage solutions, ensuring they are performant and resilient. * Evaluate and integrate new tools and technologies to support evolving data needs and industry best practices. DATA QUALITY & GOVERNANCE * Implement data quality, validation, and governance frameworks to ensure high data integrity across the organization. * Automate routine data operations and develop monitoring systems to proactively detect and resolve issues. * Develop and maintain clear documentation of data pipelines, processes, and architectural decisions. COLLABORATION & ENABLEMENT * Partner with analytics and data science teams to understand their requirements and deliver clean, well-modelled datasets that enable self-service analytics and advanced modelling. * Collaborate cross-functionally with analysts, data scientists, software engineers, and business stakeholders to ensure infrastructure keeps pace with business needs. * Leverage AI tools to accelerate engineering workflows, applying sound judgement to validate outputs and maintain quality. WHO YOU ARE * Proven proficiency in data engineering, including ETL/ELT pipeline development and SQL-based data warehousing. * Strong SQL skills and hands-on experience with modern data warehousing solutions. * Comfortable working across hybrid environments—supporting both on-prem (SQL Server) and cloud-based data warehouses (Databricks). * Proficiency in Python, Scala, or Java for data pipeline development. * Experience with orchestration tools (e.g., Airflow, Prefect, Dagster), integration platforms (e.g., Celigo), and version control systems (e.g., Git). * A systems thinker—you can trace data from source to output, spot reliability gaps, and propose fixes before they become incidents. * Automation-minded—you look for ways to eliminate manual, repetitive work and build durable solutions. * A clear communicator who can document decisions and explain technical concepts to non-technical stakeholders. NICE TO HAVE * Experience with ERP systems (e.g., NetSuite) as a data source, including familiarity with their data structures and APIs. * Exposure to business intelligence tools (e.g., Tableau, Power BI, Looker) and semantic layer concepts. * Background in ecommerce, logistics, or supply chain data environments. WHAT WE OFFER * Impact: Your pipelines and architecture will directly enable the data decisions that drive business performance. * Growth: Opportunities for professional development and career advancement within a scaling analytics team. * Hybrid-First Environment: Flexibility and autonomy in how and where you work. * Culture: A collaborative, high-trust team where engineering quality and continuous improvement are genuinely valued. OUR VALUES Our core values are the compass that guides our actions, unites our team, and shapes the future of our company: * Grit & Agility: Forge Ahead, Pivot Fast * Accountability: Bring It, Own It, Commit * Go the Extra Mile: We Go Above & Beyond * Understand the Map & the Terrain: Master the Details & the Big Picture * Data Drives Decisions: Absorb Complexity & Transmit Clarity * Think Beyond Today: Tomorrow’s Vision, Today’s Action COMPENSATION & BENEFITS We are committed to transparency in our hiring process. The expected salary range for this role is $85,000–$110,000 depending on various factors including experience, skills, and market benchmarks for the Vancouver area. Our salary ranges are determined by role, level, and location. We offer a comprehensive range of benefits which includes: * Health and wellness support for our team members and their families, including an employee assistance program. * 100% paid health and dental benefits in Canada. * Paid time off. * Easy access to online and phone-based counselling services. * A hybrid-first, flexible work environment. JOIN OUR AI JOURNEY AT CYMAX GROUP At Cymax Group, we thrive on innovation and entrepreneurship. As an AI-first organization, we are on an exciting journey to continuously grow and evolve our focus on AI, empowering our people at all levels. Our fast-paced environment encourages agility and nimbleness, enabling our team to adapt swiftly to changing market dynamics. We’re passionate about continuous learning and growth, and our data-driven decision-making ensures we make informed choices that lead to success. If you’re excited about building the data infrastructure that powers an AI-empowered team, you’ll feel right at home here. Join us and bring your passion for data engineering to drive meaningful infrastructure and innovation in our ecommerce journey. Please submit your resume detailing your relevant experience and why you are a great fit for this role. ACCESSIBILITY We can provide accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs. #LI-Hybrid

Responsibilities

Design, build, and maintain scalable data pipelines and architectures to power analytics and business intelligence in a hybrid cloud and on-premises environment. Collaborate with data scientists and stakeholders to ensure data infrastructure supports current and future business needs.