Senior Data Engineer
About Bitly
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 this 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 be part of a seasoned data engineering team responsible for designing and building Bitly's next-generation data platform that powers analytics, experimentation, and AI-driven product features used by millions of users. You'll architect, build, and maintain infrastructure responsible for delivering data to our internal stakeholders as well as customer applications.
Bitly supports every country in the world and every platform imaginable. Our systems are built to process an enormous amount of data (billions of monthly events). To support our scale, our infrastructure consists of hundreds of servers, dozens of services, and numerous real-time data streams.
Required Skills
Resume Match Score - Label Analyst Position
What You'll Do
- Build and Optimize Data Services: Create well-tested, well-documented data services and improve existing ones—optimized for both traditional analytics and emerging GenAI/ML workloads. You'll be working with cutting-edge technologies to handle billions of monthly events.
- Design Data Pipelines: Create efficient pipelines to move and transform data across our distributed systems. Design flexible internal and external APIs to expose our data to various stakeholders and applications.
- Establish Standards and Governance: Set architectural and data quality standards, including comprehensive monitoring, observability, and governance frameworks to ensure data integrity and reliability at scale.
- Cross-Functional Collaboration: Work closely with leaders across product, data science, engineering, marketing, finance, and analytics teams to ensure on-time delivery of key initiatives that impact millions of users globally.
- Event Tracking Support: Support our internal teams in maintaining and designing user tracking events that power our analytics and help businesses understand customer behavior.
- Mentorship and Leadership: Mentor other engineers on best practices and implementation approaches. Champion a culture of continuous learning, technical rigor, and AI-first engineering practices across the organization.
Who You Are
- Cloud Platform Expert: You have extensive hands-on experience in data engineering on cloud platforms (GCP preferred), with a strong focus on cost and performance optimization at scale.
- Excellent Communicator: You are adept at clearly communicating complex technical concepts to both engineers and cross-functional stakeholders, making data engineering accessible to all.
- Technical Mastery: You are an expert in SQL and Python, with deep experience in data modeling, optimization, and building reusable frameworks that scale across the organization.
- Modern Data Stack Pro: You have a proven track record with modern data stack tools including orchestration (Airflow), transformation (dbt), streaming (Beam/Spark), and data processing (Dataflow).
- Platform Operations: You're experienced in data platform operations including containerization (Docker/Kubernetes), CI/CD pipelines, and implementing robust data governance practices.
- Forward-Thinking: You're familiar with modern data paradigms such as lakehouse architectures, event-driven systems, and AI-centric data tooling that's shaping the future of data engineering.
- Bonus Skills: Understanding of infrastructure-as-code (Terraform) and backend service development (Go) are valued additions to your skill set.
💰 Compensation
Base Salary Range (USD)
Benefits & Perks
🏥 Health & Wellbeing
Comprehensive health, dental, vision plans, HSA contributions, mental health support, and generous parental leave
💵 Financial
401k with 4% match, stock options, life insurance, and disability coverage
🏠 Remote Work
Flexible PTO, home office reimbursement, coworking space support, WiFi and cell phone coverage
📚 Growth
Professional development reimbursement and continuous learning opportunities
⚠️ Important Information
- US applicants must be currently authorized to work in the United States on a full-time basis
- Bitly does not sponsor or support any immigration processing
- Must live in or be willing to relocate to eligible states: AZ, CA, CO, CT, FL, GA, IL, LA, MA, MI, MN, NY, NJ, NC, PA, TX, VT, VA, WA
- Background verification checks will be conducted as part of the hiring process
Ready to Join Bitly?
Apply now and turn every connection into a powerful opportunity!
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