The Opportunity

We are looking for a curious, driven, and innovative Senior Data Engineer who proactively takes initiative to solve complex problems and lead the development of data assets that elevate our marketing analytics capabilities.

In this role, you will architect cost-conscious, high-efficiency data assets and serve as the subject matter expert on production-ready data streams spanning email, website, app, and paid media source systems. You will drive a tight, cross-functional partnership with the marketing analytics team to fundamentally enhance reporting and analytics capabilities across our entire digital and marketing landscape.

About the Team

The Data Science & Data Engineering team within the Enterprise Analytics organization builds foundational data assets, predictive models, analytical applications, and platforms for the entire enterprise. Our team collaborates deeply with business stakeholders, analysts, and technology groups to tackle high-impact use cases. We leverage modern tools and methodologies to accelerate business growth, optimize infrastructure costs, and continuously improve guest experiences.

Job Specifications:

• Starting Wage: $107,000.00 - $140,000.00 + Annual Bonus

• Employment Type: Year Round

• Shift Type: Full Time hours available

• Minimum Age: At least 18 years of age

• Housing Availability: No

What you'll do:

• Architect & Scale Data Pipelines: Design, build, and maintain robust, scalable ingestion pipelines from a diverse suite of marketing sources (APIs, SFTPs, webhooks etc.), ensuring high availability and data integrity.
• Optimize Core Data Assets: Develop, maintain, and tune high-performance dbt models to transform raw marketing data into production-ready analytic assets for cross-functional reporting.
• Drive Infrastructure Efficiency: Audit and refactor existing data infrastructure to uncover cost efficiencies and optimize compute performance across marketing data sets.
• Accelerate AI Readiness: Develop and scale semantic layers and data models specifically tailored to fuel downstream AI use cases and predictive marketing analytics.
• Champion Governance & Literacy: Author comprehensive data documentation, lineage maps, and artifacts to elevate data literacy and foster a culture of self-service across the organization.
• Lead Cross-Functional Partnerships: Act as the primary engineering partner to the Marketing Analytics team, translating complex business requirements into high-impact, performant data products.
• Bridge IT & Engineering: Collaborate closely with IT and core Data Engineering teams to align architectural standards, bridge capability gaps, and foster a cohesive, modern data ecosystem.
• Serve as a Subject Matter Expert: Act as a key technical resource for data engineering best practices, scalable architectural design, and marketing data usage.
• Drive Technical Excellence & Mentorship: Act as a technical mentor to elevate the team's engineering capabilities, driving continuous skill development and championing modern best practices across analytics and engineering cohorts

What you bring:

Technical Skills:

• Quantitative Foundation: B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering).
• Data Engineering Maturity: Proven ability to write clean, modular, testable, and maintainable code. Deep understanding of how to architect production-grade systems over one-off scripts or notebooks.
• Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services.
• Digital Marketing Domain Expertise: Hands-on experience managing and processing large-scale digital marketing datasets (log-level website, application, and paid media data) efficiently across cloud infrastructure.
• Modern Data Architecture: Experience implementing Medallion architecture and a solid understanding of data warehouse design and schema structuring.
• Advanced dbt Core: Expert-level knowledge of dbt (Core) for modular data modeling, including strict enforcement of schema testing, documentation, and complex dependency management.
• Version Control & CI/CD: Proficient with Git workflows (branching strategies, pull requests, code reviews) and integrating pipelines into automated CI/CD deployment workflows.

Soft Skills:

• Curious: bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning.
• Ownership: take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions.
• Initiative: take initiative to understand full scope of business problems and propose solutions ahead of being directly asked
• Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences.
• Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders.

Bonus Points if you have...

• A graduate degree (Masters or PhD) in a quantitative field
• Deep experience with Databricks, especially Unity Catalog, Delta Lake, Databricks Workflows, job/cluster optimization, and governance.
• Experience using Spark or similar distributed frameworks to build or support scalable data
• Experience with data visualization tools such as Tableau or Power BI

The expected Total Compensation for this role is $107,000.00 - $140,000.00 + Annual Bonus. Individual compensation decisions are based on a variety of factors.

Job Benefits

• Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons
• MORE employee discounts on lodging, food, gear, and mountain shuttles
• 401(k) Retirement Plan
• Employee Assistance Program
• Excellent training and professional development

Full Time roles are eligible for the above, plus:

• Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours)
• Free ski passes for dependents
• Critical Illness and Accident plans

Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states* in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming.

Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion.