Senior Analyst: Data Engineering

 

Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you’re ready to pursue your fullest potential, we want to get to know you!

 

Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first).

 

Job Summary:

The Data Science & Engineering team leverages internal data assets to deliver performant, scalable, and impactful data-focused solutions across the business. This team drives innovation by supporting key data assets and collaborating with technology and business partners to unlock strategic opportunities and enhance guest-facing initiatives.

 

As a Senior Analyst on the Data Engineering team, you will lead and contribute to strategic initiatives that depend on our core enterprise data assets. You will partner closely across business, analytics, and IT teams to ensure data is accessible, reliable, and fit for purpose enabling accurate reporting and actionable insights across the organization. This role will collaborate extensively with multiple Lines of Business, with a primary focus on Marketing Analytics, to design, build, and maintain the data and reporting infrastructure that powers Business Insights.

 

Job Specifications: 

• Starting Wage: $107,222.17 - $124,000.00 + annual bonus 

• Employment Type: Year Round  

• Shift Type: Full Time hours available 

• Minimum Age: At least 18 years of age  

• Housing Availability: No 

 

Job Responsibilities:

• Build scalable, end‑to‑end data pipelines and audit existing infrastructure supporting Marketing Analytics use cases, integrating sources such as website, app, email, and paid media data.[MR1] 
• Partner with analytics team to design and maintain governed, reliable, and production‑ready data assets.
• Manage cross‑functional relationships with IT, analytics, and marketing stakeholders to ensure alignment on data architecture and business use cases.
• Collaborate with engineering peers to architect, develop, and scale data‑driven solutions and platform capabilities.
• Translate business requirements into technical specifications; communicate findings, constraints, and solution recommendations to both technical and non‑technical audiences.
• Serve as a subject matter expert in data engineering best practices, tooling, and architectural patterns across the organization.
• Stay current on emerging technologies and industry trends; contribute to team education and mentor junior team members.

 

Job Requirements: 

• Advanced degree in a quantitative field (e.g. Computer Science, Business Analytics)
• At least 3-5+years of hands-on data engineering experience
• A demonstrated ability to design data-driven solutions that meet business needs accounting for data availability and technical implementations considerations
• Experience with handling large digital marketing data sets (log-level website, app, and paid media data) efficiently and reliably across cloud infrastructure[MR2] 
• Advanced proficiency in Python, SQL, and dbt modeling practices
• Experience with cloud warehousing platforms (e.g. Snowflake or Databricks)
• Experience with data visualization platforms (e.g., Tableau, Power BI)
• Experience with cloud platform/s (e.g., Azure, AWS) is preferred[KB3] 
• Detail oriented self-starter with a proven ability to deliver cross-functional solutions
• Ownership: take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions
• Business acumen: understand the bigger picture for custome