OUR VISION

We believe in a world where travel companies can innovate freely, growing and accelerating their business, while delivering the experience travelers want and the change the industry needs.
FLYR is a technology company that unlocks freedom to innovate for the travel industry – eliminating legacy constraints to enable real-time decision making and create the experiences travelers seek. With FLYR, businesses are able to improve revenue performance and modernize the e-commerce experience through accurate forecasting, automation, and analytics.

WHAT TO PACK FOR THIS TRIP (QUALIFICATIONS)

• Quantitative work/education background (computer science or equivalent).
• Ability to ship production-quality Python code.
• 5+ years of hands-on experience with cloud computing services, Airflow, Cloud Composer, and BigQuery.
• 5+ years of experience building and operating data transformation pipelines. Experience with DBT is essential.
• Experience with data warehouses, ETL automation, BI visualization tools, and cloud-based data management tools.
• Advanced SQL. You know your way around analytical and aggregate functions, complex joins, window functions, and are confident in wrangling all types of data in SQL.
• Can identify impediments to customer onboarding and propose improvements to processes. Can work with Product, Data Science, and downstream teams to define product and platform capabilities to improve customer onboarding.
• Ability to communicate status, blockers, risks, and dependencies to FLYR and customer stakeholders.

FLIGHT ITINERARY (ABOUT THE ROLE)

Our data-driven, deep-learning-based methodology enables any airline to maximize revenue and accurately forecast outcomes. We’re looking for a talented Senior Data Engineer to join our leading-edge data engineering customer implementation team to achieve this vision. This team delights new customers throughout the onboarding process, applying innovative, best-in-class tools and workflows to build performant, reliable data pipelines. The Data Engineer will play a key role in ensuring our customers see rapid time-to-value and will build creative technical solutions for new and complex problems.

WHAT YOUR JOURNEY WILL LOOK LIKE (RESPONSIBILITIES)

• Complete complex customer ingest and data warehousing projects.
• Develop and implement best practices and standardized, repeatable processes for implementing enterprise-grade data transformation/ingest pipelines, with an eye toward scalability.
• Engage with stakeholders from data discovery, to ETL development, to data QA/QC metrics determination and delivery SLAs.
• Define and implement tools to support onboarding and the ingestion of new data sources.
• Support and maintain our data models.
• Defining platform data validation test suites.
• Provide mentorship and training to newer crew members.