Bitly is the world’s leading Connections Platform, empowering businesses to create memorable connections with their customers at every physical and digital touchpoint. From Fortune 500 companies to small businesses, millions of people around the world rely on Bitly for custom short links, QR Codes, and landing pages that are easy to create, share, and manage. With tools to track and optimize every interaction, we help businesses understand what drives the greatest impact.
As we continue to redefine how brands interact with customers, we're looking for passionate individuals eager to drive innovation and shape the future of engagement. Join us in turning every click, tap, and scan into a powerful catalyst for connections.
We know the best teams bring different backgrounds, perspectives, and lived experiences. If you're excited about a role and believe your skills and experiences align meaningfully with it, we encourage you to apply.
The Role
As a Senior Data Engineer at Bitly, you will join a high-performing data engineering team building the next-generation data platform that powers analytics, experimentation, and ML / AI driven product features used by millions of people. You will design, build, and operate production-grade data systems that deliver trusted data to internal teams and customer-facing applications, across both streaming and batch workloads.
Bitly operates globally across every major platform, processing billions of events each month. Our data infrastructure includes hundreds of servers, dozens of services, and multiple real-time streams. You will help scale the platform’s reliability, performance, and cost efficiency, and build the foundational primitives (event modeling, streaming pipelines, and governed data access) that enable teams to move faster with confidence.
What You’ll Do
Who You Are
US Employee Benefits - Your benefits start on Day 1!
Health & Wellbeing
Inclusion & Belonging
Financial
Eligibility
Compensation
The salary range for this role takes into account a wide range of factors considered in making compensation decisions, including, but not limited to, skill sets, experience and training, licensure and certifications, as well as other business and organizational needs.