Ads Data Engineer

November 20

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Hopper

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Travel • Technology

Hopper is a travel booking platform that offers a one-stop solution for planning trips, including flights, hotels, rental cars, and homes. The platform features advanced options such as price prediction, disruption assistance, and the Price Freeze™ feature, allowing travelers to secure deals and manage changes conveniently. Hopper is known for its mobile app availability on iOS and Android, providing a streamlined experience for its users. It serves millions of travelers worldwide, offering VIP support and various affiliate programs for partners.

201 - 500 employees

💰 $96M Venture Round on 2022-11

📋 Description

• Own the Data Architecture: Design, build, and maintain scalable and reliable ETL/ELT pipelines to process high-volume advertising data. • Build the Foundation: Develop and manage our analytical data warehouse, establishing it as the single source of truth for all reporting and analytics. • Enable Insights: Create clean, reliable, and performant data models that power our advertiser reporting dashboards, internal analytics, and billing systems. • Ensure Data Integrity: Implement robust data quality checks, monitoring, and alerting to ensure the accuracy and trustworthiness of our data. • Collaborate and Empower: Work closely with the engineering and product teams to define data requirements and deliver the necessary data infrastructure to support new ad products and features. • Prepare for the Future: Build the foundational data systems that will enable future ML-driven optimizations for audience targeting and performance prediction.

🎯 Requirements

• 4+ years of data engineering experience, with a demonstrated track record of building and maintaining data infrastructure at scale. • Expert-level proficiency in SQL and a programming language like Python or Scala for data processing. • Hands-on experience with cloud-based data warehousing solutions (e.g., BigQuery, Snowflake, Redshift). • Proven success building and operationalizing data pipelines using orchestration tools (e.g., SQLMesh, Airflow, dbt). • Experience with real-time data streaming technologies (e.g., Google Pub/Sub, Kafka, Kinesis). • Strong understanding of data modeling concepts and experience designing schemas for analytical workloads. • Experience with ad tech, retail media, or large-scale data systems is strongly preferred. • Excellent communication skills and an ability to collaborate effectively with both technical and business stakeholders. • A strong sense of ownership and the ability to operate with a high degree of autonomy in a fast-paced, entrepreneurial culture.

🏖️ Benefits

• Well-funded and proven startup with large ambitions, competitive salary and upsides of pre-IPO equity packages. • Hopper covers 100% of the premiums for group insurance plan. • Hopper offers life, short term and long term disability coverage. • HSA that covers eligible medical and dental expenses. • All employees and dependents have access to Dialogue’s telemedicine services, anytime, anywhere. • All employees have access to an RRSP plan with automatic pre-tax withdrawals per pay. • Please ask us about our very generous parental leave, much above industry standards!. • Unlimited PTO. • Carrot Cash travel stipend. • Access to co-working space on demand through FlexDesk AND Work-from-home stipend. • Entrepreneurial culture where pushing limits and taking risks is everyday business. • Open communication with management and company leadership. • Small, dynamic teams = massive impact.