Staff Data Engineer

About Us

At Rezdy, we're builders, doers, and difference-makers, driven by a shared mission to reshape the tours, activities, and experiences industry. Alongside our sister brands, Checkfront, Manifest, and Regiondo, we power more than 20,000 businesses and support over $10B in bookings globally. Our technology helps operators thrive while delivering unforgettable moments to travelers around the world.

We work in an industry built on adventure, energy, and human connection, and that same spirit fuels how we show up every day. Spanning North America, Europe, and Asia-Pacific, our teams are united by bold goals, a bias for action, and an unwavering commitment to delivering for our customers.

Our success starts with people. Our teams are the engine behind everything we create. We value self-starters who take ownership, embrace challenges, and raise the bar for themselves and those around them. We believe in creating space to grow, take risks, and make a real impact, and we celebrate those who lead with curiosity, grit, and drive.

If you're passionate about performance, hungry to learn, and ready to help shape the future of travel, this is your kind of place. Let's build, grow, and win together.

About the Role

We are looking for a Staff Data Engineer with significant experience to join our data team. Our data platform powers analytics for both internal business users and external customers, and plays a key role in enabling data-driven decision-making across the organization.

In this role, you will focus on evolving our existing data platform and investing in its reliability, performance, and scalability. You will work closely with internal stakeholders to design and implement new data models in our Enterprise Data Warehouse as new reporting and analytics requirements emerge.

The platform currently supports data and analytics needs across Checkfront, Manifest, Regiondo, and Rezdy, and provides reporting capabilities for both operational teams and customers.

Our modern data stack includes Google BigQuery, Fivetran, dbt, Metabase, and GoodData. This is a great opportunity for someone who enjoys working with mature data platforms, improving existing pipelines, and delivering high-quality analytics that directly support business outcomes.

This is a remote position working primarily Pacific Time hours in Canada or the United States.

What you will do

• Architect and evolve our data platform for scale and reliability
• Define and implement advanced platform engineering test practices, including automated data integrity checks and CI/CD pipelines to ensure data quality
• Act as a technical leader and mentor for the data engineering team, setting standards for system design and platform reliability
• Maintain and support the enterprise data platform and existing data pipelines.
• Ensure reliable data ingestion, transformation, and reporting across Checkfront, Manifest, Regiondo, and Rezdy
• Monitor, troubleshoot, and resolve issues across the data stack to ensure data accuracy and availability.
• Work closely with internal business users to understand their reporting and analytics requirements.
• Design and implement new data models in BigQuery using dbt based on business needs.
• Maintain and manage data ingestion pipelines.
• Deliver clean, well-structured datasets that power reporting and dashboards in GoodData or Google Sheets.
• Optimize BigQuery queries and data models for performance and cost efficiency.
• Ensure data quality, documentation, and governance across the data platform.
• Set up a testing and validation framework to automatically ensure data integrity across the platform.
• Contribute to data platform monitoring, alerting, and platform reliability.

What we are looking for

• Significant experience designing, building, and operating high-scale, distributed data platforms.
• Strong experience with SQL and data modeling in modern cloud data warehouses.
• Hands-on experience with Google BigQuery.
• Experience using dbt for transformation and data modeling.
• Experience with data ingestion tools such as Fivetran or similar ELT platforms.
• Experience supporting analytics platforms or BI tools.
• Strong understanding of data warehousing concepts and dimensional modeling.
• Expertise in maintaining and operating production data pipelines and platforms.
• Ability to work with business stakeholders to translate requirements into scalable data models.
• Strong troubleshooting and problem-solving skills.
• Excellent communication and documentation skills.
• Proven track record of mentoring engineers and improving technical standards.
• Experience leading large-scale architectural migrations.
• Ability to influence cross-functional roadmaps and communicate complex technical concepts.

When you join our team, you're stepping into a culture built on momentum, ownership, and clarity of purpose. We move decisively, think boldly, and stay deeply connected to our customers and the people behind the work. Across all our brands, we believe meaningful impact comes from empowered teams, aligned priorities, and unwavering commitment.

Here's what you can expect:

• High trust, real impact: You'll have the autonomy and expectation to lead with ownership, tackle problems end-to-end, and make decisions that move the business forward in meaningful ways.
• Curiosity with discipline: We value asking sharp questions, challenging assumptions, and exploring smarter ways to work. We don't just get things done, but get them done right for our customers.
• One team, all in: Collaboration beats ego, wins are shared, and we rally together when the work gets tough.
• Space to grow: You'll be supported and stretched, taking on challenges that build capability, sharpen judgment, and accelerate your growth as a leader and problem-solver.
• Progress with purpose: We move fast, stay focused on what truly matters, and prioritize long-term impact over quick fixes.