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
- Own and scale core data platform systems that power analytics, experimentation, and ML / AI driven product features at scale; designed for high throughput, reliability, and cost efficiency
- Design, build, and operate production-grade data services and pipelines end-to-end, with clear SLAs/SLOs, monitoring, and operational runbooks
- Build real-time and near-real-time streaming pipelines for high-volume event ingestion and processing across product and analytics use cases
- Ensure event correctness at scale, including event-time vs processing-time semantics, watermarking/late data handling, replay/backfills, idempotency/deduplication, and schema evolution strategies
- Deliver core behavioral analytics capabilities such as sessionization, identity stitching, bot filtering, and attribution to support product insights and customer-facing analytics
- Design flexible internal and external data interfaces (APIs, datasets, contracts) that enable self-serve consumption while maintaining strong governance
- Establish and enforce engineering and data quality standards: testing strategy, code review norms, documentation, data contracts, lineage, anomaly detection, and automated validation/observability
- Optimize performance and cost across distributed processing and storage (partitioning, clustering, query tuning, resource sizing, and workload management), and lead initiatives that reduce latency and improve reliability
- Partner cross-functionally (product, DS/ML, engineering, analytics, marketing, finance) to define event instrumentation and data requirements and to deliver critical platform capabilities on time
- Mentor and raise the bar: guide peers on system design and implementation approaches, champion software engineering best practices in data engineering, and drive a culture of technical rigor and continuous improvement
Who You Are
- 6+ years building and operating production data systems on cloud platforms (strong hands-on GCP experience), with ownership of reliability, performance, and cost
- Strong software engineering fundamentals: system design, maintainable code, testing, CI/CD, and debugging distributed systems
- Hands-on experience with streaming and event-driven architectures, including event-time semantics, late data, replay/backfills, deduplication, and schema evolution
- Experience building sessionization and behavioral analytics pipelines, including identity resolution and high-cardinality event modeling
- Expert in SQL and Python, with strong data modeling and reusable framework experience
- Familiar with modern data stacks: orchestration (Airflow / Cloud Composer), transformation (dbt), distributed processing (Dataflow), and lakehouse/warehouse patterns
- Clear communicator and mentor who can translate ambiguous problems into scalable technical solutions
- Experience with Infrastructure-as-Code (Terraform) and operating data platforms via CI/CD and containerized environments (Docker/Kubernetes)
- Good to have: Backend service development experience (using Go)
US Employee Benefits - Your benefits start on Day 1!
Health & Wellbeing
- Inclusive health, dental, and vision plans built to support diverse lifestyles.
- Employer contribution to HSA plans.
- Generous paid parental leave.
- Enhanced support for reproductive health, family planning, and new parents.
- Robust mental health support and Employee Assistance Program (EAP) with confidential counseling services.
- Comprehensive well-being benefits, including a reimbursement program,
- Flexible PTO policy.
Inclusion & Belonging
- Impactful connections and community building through our Employee Resource Groups
- Company-sponsored events to connect Bitizens together.
Financial
- 401k with up to 4% employer match, access to financial professionals to offer our employees the opportunity to plan for a strong financial future well beyond their working years.
- Stock Options.
- Life, Short-term Disability, and Long-term Disability options.
- Flexible workspace support provided, including home office, cell phone, and WiFi service reimbursement.
- Coworking reimbursement for eligible employees.
- Voluntary Benefits: Pet Insurance, LegalShield, IDShield, Hospitalization, and Accident coverages.
- Reimbursement for professional development.
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.
Top Skills
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