Job Description

As a leading mountain resort operator with over 40 resorts in sixteen states and four countries. We exist to create an Experience of a Lifetime for our employees, so they can, in turn, provide and Experience of a Lifetime for our guests. We are looking for leaders, innovators, creators, and ambitious professionals to join our talented team. If you\'re ready to pursue your fullest potential, we want to get to know you!

Many of our Corporate function teams can now live and work in any of the states in which Vail Resorts currently operates* - enabling flexible remote work alongside a commitment to building and maintaining strong culture both in person and virtually. If you\'re ready to pursue your fullest potential, we want to get to know you. Find your purpose with us at .

Job Summary:

The Enterprise Data Engineering & Enablement team is responsible for using our internal data assets to deliver performant, scalable, and impactful data-focused solutions across the business! The team captures Vail Resorts enterprise data and works in collaboration with our technology and business partners to enable both strategic opportunities as well as guest facing initiatives. As we continue to grow, our objectives to deliver all data, and scalability of solutions across our core lines of business.

As a Data Engineer at Vail Resorts, you will act as a primary contributor within the development initiatives for the team and business. You will support the end-to-end architecture and deployment of data pipelines including intake, data cleaning, data shaping, and delivery of our enterprise data. Additionally, you will help lead the integration and democratization of new technologies that bring scale, agility, and efficiency to the way we work with data!

Job Specifications:

• Shift & Schedule Availability: Full Time / Year Round
• Outlet: Corporate
• Other Specifics: Remote
• The expected range is $82,800 - $106,425

Job Responsibilities

• Aid in the architecture and lead the development of data engineering projects that advance our enterprise goals of realizing data-focused impact through delivering intelligent solutions across our organization
• Play a key role in managing and collaboration cross-functional technology and data initiatives
• Bring ambition, a problem solving attitude, and clear articulation of vision to continue to evolve the technical proficiencies of the team
• Provide guidance and mentorship to junior team members and colleagues
• Participate as a subject matter expert across the domain of data engineering
• Contribute to core infrastructure, libraries, and documentation
• Act as an integrator across development paradigms, cross functional communication, and team culture
• Other duties as assigned

Job Requirements:

• Bachelor\'s degree in technical or business discipline or equivalent experience
• 3+ years of data management experience implementing data solutions demonstrating depth of technical understanding within a specific discipline(s)/technology(s)
• 3+ years of working with data warehousing systems, ETL/ELT, data systems integration, and cloud data solutions including data lakes or managed services like Snowflake or Databricks.
• Experience developing and automating data pipelines in cloud ecosystems (Azure) utilizing tools like Databrick, Snowflake.
• Demonstrated high level or proficiency with SQL across a variety of platforms
• Must be proactive and self-driven, demonstrated initiative and be a logical thinker.
• Demonstrated active pursuit of optimizing data, process and tools, testing frameworks & practices.
• Strong leadership, communication, collaboration skills with a track record of taking solution ownership
• Ability to develop clear documentation and business partner management across audiences with multiple levels of technical skills

Preferred Experience:

• 3+ years of experience utilizing scripting languages (Python, Shell, etc.)
• 3+ years of experience with cloud-based data offerings (ex. Microsoft Azure, Databricks, Snowflake)
• 2+ years of experience working with Agile Development Methodologies
• Working knowledge of common development tools like Git and Jira
• Familiarity with scalable data processing paradigms like Databricks and Spark
• Familiarity with Data Science and Machine Learning development tools and processes

The expected Total Compensation for this role is $82,800 - $106,425. Individual compensation decisions are based on a variety of factors.

The perks include a free ski pass, and a set of benefits including...

• Medical, Dental, Vision insurance, and a 401(k) retirement plan
• Hourly employees are generally eligible for accrued Paid Time Off (PTO) and Sick Time. Salaried employees are generally eligible for Flexible Time Off (FTO)
• Paid Parental Leave for eligible mothers and fathers
• Healthcare & Dependent Care Flexible Spending Accounts
• Life, AD&D, and disability insurance

Reach Your Peak at Vail Resorts. At Vail Resorts, our team is made whole by the brave, passionate individuals who ambitiously push boundaries and challenge the status quo. Whether you\'re looking for seasonal work or the career of a lifetime, join us today to reach your peak.

*Remote work is currently permitted from British Columbia 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 remotely, 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 at any time in its sole discretion.

Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law.

Requisition ID 495087
Reference Date: 06/22/2023
Job Code Function: Information Systems

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