Senior Data Engineer

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., * 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

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., * 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.

In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution.

We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers.