Data Engineer

This is a software engineering role. You'll build and operate the backbone of Fiverr's data platform: distributed pipelines, warehouse infrastructure, and production services processing billions of events, each of which believes it is the most important one. If you think of yourself as an engineer first who happens to work with data, read on.

Join our dynamic Data department as a Senior Data Engineer, where you'll play a pivotal role in launching a critical new data product. This is an opportunity to elevate our engineering rigor and deliver innovative solutions for the world's most popular freelance marketplace, tackling complex challenges in distributed data systems and backend engineering. This is not an analytics role: you won't be building dashboards, you'll be building the systems dashboards depend on and never thank.

What am I going to do?:

• Architect and design robust schemas, ensuring scalability and performance. Bonus points if they still make sense to you at 2am during an incident.

• Build production-ready features end to end: data pipelines, backend services, and user-facing elements when needed. Your center of gravity is the backend and data systems.

• Orchestrate and optimize data pipelines, guaranteeing reliable and timely data delivery. You know the difference between a DAG that is elegant and one that is a cry for help.

• Provide technical leadership to enhance software engineering standards across the team, mentoring other developers.

• Treat performance and cloud cost as first-class design constraints across storage, compute, and pipelines.

• Collaborate daily with engineers, analysts, and business stakeholders, who all speak slightly different dialects of data. You will be fluent in all of them.

Requirements:

• You practice real software engineering: automated testing, code review, CI/CD, and observability, applied to services rather than notebooks.

• BSc/MSc in Computer Science or a related engineering field, or equivalent deep software engineering experience.

• 5+ years as a software or data engineer building production systems, not analytics or BI roles with some pipeline work. You have been paged before, and you have the scars and the runbooks to show for it.

• You have designed and operated data warehouse architecture at TB+ scale, including partitioning, cost optimization, and query performance tuning.

• You have built and operated distributed data pipelines at meaningful scale, with frameworks like Spark, Kafka, or Flink, and orchestration tools like Airflow or Prefect.

• You write production-grade Python (or Java/Scala) daily, building services and libraries rather than scripts, clean enough that the next person never has to send you a strongly worded Slack message. Strong CS fundamentals are assumed: data structures, algorithms, concurrency, and distributed systems design. SQL is table stakes.

• You excel at complex system integration and have a proven track record of leading technical initiatives and mentoring other engineers.

Working with AI

We build with AI, not just alongside it. Agents write real code here: engineers direct them, review their output, and own what ships. You'll also build AI systems yourself, including our new agentic BI solution. Expect to design pipelines that agents can operate, and to write the evals and guardrails that make them trustworthy. The question is not whether you use AI, it's how much leverage you can safely get from it, while staying on budget.

If your idea of fun involves benchmarking two orchestration tools just to see which one cries first, we should talk!

Equal opportunities:

At Fiverr, we know that talent has no single face. We welcome talent from everywhere and everyone because it makes everything we build better. Need accommodations? Just ask. And if this role excites you but you don't tick every box, apply anyway. The best people rarely fit the mold exactly.