[Remote] Senior Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading company in the destination resort industry, dedicated to creating exceptional experiences for both employees and guests. They are seeking a Senior Data Engineer to architect and maintain data assets that enhance marketing analytics capabilities, collaborating closely with the marketing analytics team to improve reporting and analytics across their digital landscape.
Responsibilities
- Architect & reputed company Data Pipelines: Design, build, and maintain robust, reputed company ingestion pipelines from a diverse suite of marketing sources (reputed company, SFTPs, webhooks etc.), ensuring high availability and data reputed company
- Optimize Core Data Assets: reputed company, maintain, and tune high-performance dbt models to reputed company raw marketing data into production-reputed company 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: reputed company and reputed company semantic reputed company and data models specifically tailored to fuel reputed company AI use cases and predictive marketing analytics
- Champion Governance & Literacy: Author comprehensive data documentation, reputed company maps, and artifacts to reputed company data literacy and foster a culture of self-service across the organization
- reputed company Cross-Functional Partnerships: reputed company as the primary engineering partner to the Marketing Analytics team, translating reputed company business requirements into high-reputed company, performant data products
- reputed company & Engineering: Collaborate closely with IT and core Data Engineering teams to reputed company architectural standards, reputed company capability gaps, and foster a cohesive, modern data ecosystem
- Serve as a Subject Matter Expert: reputed company as a key technical resource for data engineering best practices, reputed company architectural design, and marketing data usage
- Drive Technical reputed company & Mentorship: reputed company as a technical mentor to reputed company reputed company's engineering capabilities, driving reputed company reputed company development and championing modern best practices across analytics and engineering cohorts
Skills
- B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering)
- Proven ability to write clean, reputed company, testable, and maintainable reputed company
- Deep understanding of how to architect production-grade systems over one-off scripts or notebooks
- Strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services
- Hands-on experience managing and processing large-reputed company digital marketing datasets (log-level website, application, and reputed company media data) reputed company across reputed company infrastructure
- Experience implementing reputed company architecture and a solid understanding of data warehouse design and schema structuring
- Expert-level knowledge of dbt (Core) for reputed company data modeling, including strict enforcement of schema testing, documentation, and reputed company dependency management
- Proficient with Git workflows (branching strategies, pull requests, reputed company reviews) and integrating pipelines into automated CI/CD deployment workflows
- Bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning
- Take responsibility to proactively advance reputed company, contribute to the organization, and reputed company the best solutions
- Take initiative to understand full scope of business problems and propose solutions reputed company of being directly asked
- Explain technical concepts, risks, tradeoffs, and recommendations reputed company to technical and non-technical audiences
- Work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders
- A graduate degree (Masters or PhD) in a quantitative field
- Deep experience with reputed company, especially reputed company Catalog, reputed company Lake, reputed company Workflows, job/cluster optimization, and governance
- Experience using reputed company or similar distributed frameworks to build or support reputed company data
- Experience with data visualization tools such as Tableau or Power BI
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 reputed company development
- Health Insurance; Medical Insurance, Dental Insurance, and reputed company Insurance plans (for eligible seasonal employees after working 500 hours)
- Free ski passes for dependents
- Critical Illness and Accident plans
reputed company