Senior Data Engineer

 

ResortPass is seeking our first in-house Data Engineer. In this role, you will work along with our Product Engineering, Business Intelligence and the leadership team to drive forward our data initiatives. You will be responsible for building out and maintaining our data infrastructure, ensuring our data stakeholders have access to high fidelity data in a timely manner, and that it’s all maintained in a high performant data warehouse. 

We are looking for someone who thrives at the intersection of technical expertise and understanding business needs who knows that data isn’t just about numbers—it’s a powerful tool for solving real-world problems and driving business success. You understand the importance of building scalable and flexible data environments that ensure data from various sources is clean, organized, and easily accessible. You likely enjoy collaborating with teams across the business to identify the most valuable data points and integrate them into systems that enable faster, smarter decision-making. Ultimately, you’re focused on providing the tools and insights that empower the business to grow and succeed.

This role will be in person at our energetic NYC headquarters. The base salary for this role will range from $160,000 - $200,000  per year, plus equity, commensurate with experience.

 

• Design, implement, and maintain robust ETL processes, ensuring data accuracy, timeliness, and accessibility for analysis
• Collaborate with engineering teams to ensure comprehensive data instrumentation
• Maintain our data warehouse by being the primary administrator and making sure it is well provisioned and optimized.
• Promote effective self-service analytics infrastructure

 

• 5+ years of data engineering experience, ideally in a high growth startup
• Strong understanding of cloud technologies (AWS preferred)
• Strong Experience ingesting data from REST APIs to a data warehouse or data lake using various modern tooling ranging from fundamental technologies like Airflow to self-serve tooling like Fivetran
• Strong understanding of data warehousing technologies (Redshift preferred) 
• Expert-level SQL skills and exposure to data transformation technologies such as DBT
• Exposure to Looker or equivalent BI tools
• Demonstrated experience working cross team and cross functionally

Benefits