Mid Data Engineer

About the role

Klar is looking for a Mid Data Engineer to join its Revenue Operations team. The role is fully remote and focuses on building and maintaining web‑scraping services, data pipelines, and real‑time processes that support the company’s financial products.

Key responsibilities

• Work remotely with product, operations, and engineering stakeholders, collaborating asynchronously.
• Develop, deploy, and maintain end‑to‑end web‑scraping services, handling credentials, extraction flows, parsers, and operational tooling.
• Build and operate production Python services that expose APIs, run event‑driven workers, and persist data in relational stores.
• Design streaming and batch data flows to ensure business data is reliable, timely, observable, and usable for Revenue Ops workflows.
• Debug and resolve real‑world scraping and data‑processing failures involving external systems.

Required profile

• Mid‑level experience as a Data Engineer.
• Comfortable working remotely and collaborating across time zones.
• Strong problem‑solving skills for data reliability and quality challenges.

Required skills

• Python programming.
• Web scraping techniques and tools.
• API development and integration.
• Event‑driven architecture and worker processes.
• Relational database design and persistence.
• Cloud‑based services for data storage and processing.
• Streaming and batch data pipeline design.

What we offer

• Fully remote work environment.
• Opportunity to impact financial services for underbanked markets.
• Collaborative, multicultural team across Mexico, Berlin, and Argentina.