Hybrid, Remote, US
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).
About this role
We are looking for a passionate and driven Senior Data Engineer to become an important part of our fast-paced, high-energy, and innovative culture. The ideal candidate will have experience in Azure, Databricks, ETL processes, Python, SQL, Jira and Github. In addition to these skills, the candidate should also have experience in data lake house architecture, data modeling and migration from on-premise enterprise data warehousing to data lake.
As a Senior Data Engineer, you will be responsible for designing and implementing data pipelines that are scalable, reliable, and efficient. You will work closely with analytics teams, data scientist and other stakeholders to understand their requirements and architect and implement data solutions that meet their needs.
Responsibilities
Design, develop and maintain data pipelines for ingesting, transforming, and loading data into our data lake (e.g., Azure Data Lake Storage, AWS S3)
Integrate with external APIs and services (e.g., RESTful APIs) to exchange data and trigger actions
Design and Develop data APIs and API Management layer
Experience orchestrating and monitoring workflows
Work with data scientists/data analysts to understand their requirements and design solutions that meet their needs
Develop and maintain Python scripts to automate data processing tasks
Write complex SQL queries
Optimize database performance by tuning queries and indexes
Ensure data quality and integrity throughout the data lifecycle
Enable versioning, logging and monitoring for platform and application observability
Troubleshoot and resolve issues related to data pipelines and Azure DevOps integrations
Collaborate with cross-functional teams (e.g., data engineers, data scientists, product managers) to understand business requirements and translate them into technical solutions
Contribute to the development and improvement of CI/CD pipelines (e.g., using Jenkins, Azure DevOps, GitLab CI)
Implement and maintain infrastructure as code (IaC) using tools like Terraform or Ansible
Participate in code reviews and contribute to the improvement of development processes
Stay up-to-date with the latest technologies and best practices in event-driven architectures and data processing
Mentor and guide junior team members
Qualifications
Bachelor’s degree in Computer Science or a related field
5+ years of experience in data engineering
Experience with Azure and Databricks
Strong knowledge of ETL processes
Proficiency in configuration languages (Terraform, YAML)
Experience with API integration and RESTful services
Proficiency in Python, SQL, Jira and Github
Experience with big data technologies such as Hadoop, Spark, or Kafka is a plus
Experience with Jira and Github
Experience in data lake house architecture
Experience with containerization technologies (e.g., Docker, Kubernetes)
Experience ingesting data from Event Hubs
Experience in data modeling
Experience in migration from on-premise enterprise data warehousing to data lake
Familiarity with data quality and validation tools
Strong analytical and problem-solving skills
Excellent communication and collaboration skills
Ability to work independently and as part of a team
The expected Total Compensation for this role is $140,000 + annual bonus. Individual compensation decisions are based on a variety of factors.
Job Benefits
Full Time roles are eligible for the above, plus:
Vail Resorts offers a ‘Hybrid’ work environment where employees living within 50 miles of the Broomfield office work on-site Tuesday, Wednesday, Thursday and have flexibility to work off-site on Mondays and Fridays. Employees living outside of a commutable distance 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.
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 506478
Reference Date: 12/23/2024
Job Code Function: Information Systems
