[Hiring] Senior Data Engineer at Referral Rock

Engine is the modern travel platform for booking and managing work trips. It saves businesses time and money through an intuitive travel network that connects to nearly every hotel, airline, and car rental company in the U.S. It offers single invoice billing, the flexibility to modify trips at any time without sunk costs, and a unified view of all company travel and spend. Customers rely on Engine to not only make travel easier to manage, but to make it enjoyable for everyone involved. The company is backed by Telescope Partners, Blackstone, Elefund and Permira.

Engine has experienced tremendous growth and establishing and maintaining high-quality data assets, data infrastructure, and analytics capabilities is critical for the company’s continued success. We are seeking a Senior Data Engineer to help us define and execute an ambitious vision to provide trustworthy data across the organization. You will join as one of the team’s early members with an opportunity to design, build, and scale systems from the ground up.

Your responsibilities will include:

• Partnering with stakeholders across product, engineering, data science, finance, sales, and marketing to define data needs of the business, build data acquisition strategies, data pipelines, and reporting infrastructure to empower the organization to make better-informed strategic, product and growth decisions
• Designing and maintaining data models across the organization and formulating a strategy for appropriate data integration
• Leading the development, orchestration, monitoring, and maintenance of ETL data pipeline infrastructure
• Continuing to improve the performance and reliability of our data lake infrastructure and data warehouse
• Partner with data scientists and data analysts to establish data assets and feature stores for process automation, advanced analytics and machine learning
• Manage the company’s business intelligence infrastructure

Requirements:

• Bachelor’s and/or Master’s degree in Computer Science, Engineering or related field
• 5+ years of relevant experience, including managing data infrastructure and building ETL/ELT processes at scale
• Experience designing and deploying high-performance data processing systems with reliable monitoring and logging practices
• Hands-on experience with current data engineering technologies and cloud infrastructure, preferably Snowflake, dbt, Kinesis/Kafka, terraform, and kubernetes
• Track record working with cross-functional teams to establish overarching data architecture and provide guidance on best practices
• Able to have both in-depth technical discussions with other engineers and explain concepts to a non-technical audience
• Enjoys mentoring other engineers