Senior Data Engineer

About Huge

Huge is a design and technology company that crafts products and experiences for the world's most ambitious brands. We focus on creating human-centered experiences and uncovering new growth avenues by leveraging creative talent, our proprietary LIVE platform, and emerging technologies. We believe all experiences should be intelligent, shoppable, and unique to each brand.

Huge's global team of nearly 1,000 thinkers, creators, and problem-solvers has been innovating across North America, Europe, and Latin America for over 25 years. Learn more at www.hugeinc.com.

Huge is dedicated to fostering an inclusive employee experience for everyone. We believe our best work is achieved when all team members feel empowered to be their authentic selves, regardless of background. Huge is an equal opportunity employer (EOE) and strongly supports workforce diversity. We are committed to providing an inclusive, barrier-free recruitment and selection process. Please inform us of any accommodation needs during the recruitment process.

Workers shall not be required to pay employers’ or agents’ recruitment fees. Any such fees paid by workers will be repaid.

Location

This position is remote within Canada.

Freelance Senior Data Engineer

About Technology

At Huge, we emphasize not only technological depth but also continuous incubation and experimentation in applying technology. Every technologist at Huge contributes to bringing ideas to life.

Important Considerations

• _This is a freelance contract opportunity_ with potential for extension based on project needs and performance.
• Contract Start Date: June 22, 2026
• Contract End Date: July 31, 2026
• Total Hours: 232
• Engagement Type: 1099 or W2 (depending on final worker classification)
• Equipment: Candidates must use their own computer and equipment.

Job Description

We are seeking a Freelance Data Engineer to support the implementation, orchestration, and optimization of customer data and analytics solutions. This role bridges Data Engineering and Analytics Implementation, demanding a strong grasp of data collection, customer data platforms, analytics tools, and data movement across systems.

The ideal candidate possesses hands-on experience with Adobe Experience Cloud products, robust technical skills, and the ability to work independently while collaborating with cross-functional teams to deliver reliable data solutions and actionable insights.

What You'll Be Doing

• Implement, configure, and support Adobe Experience Cloud solutions, including Customer Journey Analytics (CJA), Adobe Launch, Adobe Journey Optimizer, and Adobe Analytics.
• Design, maintain, and troubleshoot data collection frameworks and tracking implementations.
• Support data orchestration, transformation, and movement across multiple systems and platforms.
• Work with Customer Data Platforms (CDPs) to ensure accurate data ingestion, activation, and reporting.
• Develop and maintain data pipelines and data structures that support analytics and customer experience initiatives.
• Collaborate with engineering, analytics, and business teams to define tracking requirements and data strategies.
• Validate data quality, troubleshoot implementation issues, and ensure reporting accuracy.
• Document implementation processes, data flows, and technical requirements.
• Manage multiple priorities while working independently in a fast-paced environment.

What We Would Like to See

• Hands-on experience with Adobe Experience Cloud tools, specifically:
• Adobe Customer Journey Analytics (CJA)
• Adobe Launch
• Adobe Journey Optimizer
• Adobe Analytics
• Strong JavaScript skills.
• Experience working with databases and data management solutions.
• Experience with Customer Data Platforms (CDPs).
• Strong understanding of data engineering concepts, including data structures, data modeling, and data pipelines.
• Experience with data orchestration and data movement across platforms.
• Experience implementing website data collection and tagging solutions.
• Hybrid background spanning both engineering and analytics implementations.
• Strong organizational, project management, and problem-solving skills.
• Ability to work independently with minimal supervision.
• Excellent communication skills and professional fluency in English.

Compensation

• Wage Disclosure: $50—$60 CAD per hour

Note: The salary range is determined by various factors including, but not limited to, current and former employee salaries for similar roles, candidate experience and qualifications, role specialization, budget, market demand, and local market conditions. For current Huge employees, tenure will also be a consideration.