Senior Data Engineer

Flip.to is reimagining travel marketing. We help destinations and brands inspire tens of millions of travelers every month, and we're already in use on every continent (except the really cold one), driving massive, measurable value for our customers.

As a Senior Data Engineer, you'll work directly with the Director of Engineering to architect, build, and scale a data platform that transforms massive behavioral datasets into tools that move the travel industry forward—and you'll help plumb those insights through the backend to the API endpoints that serve them.

Your Mission

We're looking for a Senior Data Engineer who wants to lead the full data lifecycle—from raw ingestion to the insights our customers act on every day. This is a data-first role, but not a data-only one.

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What You'll Do

• Grow the Data Platform: We've already made a massive leap building our data platform across Azure and GCP. You'll help keep that momentum going—pushing BigQuery further with columnar best practices like HLL, nested fields, and smart partitioning, while knowing when those optimizations matter at scale and when they're overkill.

• Own the ELT Pipeline: Build and evolve our transformation layer in dbt—modular, tested, documented models that the team can trust and extend.

• Deliver Data Products, Not Dashboards: This isn't about feeding a BI tool. You'll transform behavioral datasets across Azure SQL and BigQuery into the customer-facing insights that power our Spacetime platform—putting data directly in the hands of our customers and partners.

• Bridge Data to the Backend: Architect reliable data flows from BigQuery through the backend to API endpoints—caching, serialization, strong typing. The data doesn't stop at the warehouse; you ensure we have the telemetry to know it's working perfectly. You care about data quality as much as data delivery.

​Who You Are

• Experienced: Senior-level mastery in data engineering or a closely related discipline, with deep expertise in SQL, ELT workflows, and cloud-native data platforms. Experienced with row-based engines like SQL Server alongside columnar systems. You've taken data projects from whiteboard to production.

• dbt + BigQuery Fluent: You've built production dbt projects—not just run a tutorial. You know how to leverage BigQuery's architecture: arrays and structs, partition pruning, and why clustering a table under a gigabyte is a waste of effort.

• Data Product Minded: You've designed data systems where the end user is a customer, not an analyst with a SQL editor. You can architect reliable data flows from the warehouse to the end user and are at least familiar with C# and how EF and LINQ fit into that picture.

• Startup Wired: You've thrived in small-to-mid-sized teams. You navigate ambiguity, move projects forward without a perfectly mapped path, and are comfortable working across Azure and GCP.

​Our Stack

• Data & Transformation: Google BigQuery, dbt, Snowplow
• Infrastructure: Microsoft Azure & Google Cloud Platform
• Application: C#, ASP.NET MVC, Azure SQL, Angular

​Why Flip.to?

• High Impact, High Autonomy: Your work hits production and affects millions of users almost immediately. We trust our engineers to make good decisions—and give them the room to do it.

• Data That Matters: You won't be building dashboards that nobody checks. Our data products are core to the value we deliver—our customers and partners rely on them daily.

• Talent Density: A tight-knit team where everyone is a top-tier contributor. No passengers.

• True Remote-First: We treat our engineers like the professionals they are. Work where you work best.