Senior Data Engineer

Jampp·Argentina - RemoteRemotesenior

In short

→Ingeniero de datos senior que define arquitectura de infraestructura de datos a gran escala en tiempo real.
→Diseña y opera pipelines de datos que procesan más de 2,5 millones de solicitudes por segundo con baja latencia.
→Destaca por liderar decisiones técnicas y mentorar a otros ingenieros en un entorno de alta complejidad y velocidad.

Proficiency in English is required for collaboration across global teams.

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What they ask for

✓5+ años de experiencia en Python con sistemas distribuidos en producción.
✓Experiencia comprobada en arquitectura y escalado de sistemas de procesamiento de datos distribuidos.
✓Experiencia profunda con AWS Big Data (Kinesis, EMR, Lambda, etc.) en entornos de alto volumen.
✓Capacidad para definir y liderar la evolución técnica de infraestructuras de datos.
✓Habilidad para resolver problemas sistémicos y proponer soluciones arquitectónicas.
✓Experiencia en mentoría y liderazgo técnico de ingenieros intermedios y juniors.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonGoAWS Big Data stackKinesisEMRLambdaDistributed systemsETLReal-time ML infrastructureHigh-throughput data pipelines

Who should you write to at Jampp?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

WHO WE ARE At Jampp, we’re on the mission of playing a leading role enabling the mobile app economy to grow. How? We build technology to support the most ambitious companies - from gaming to commerce pioneers - to propel the reach of their apps and accelerate their mobile businesses. A demand-side platform (DSP) at heart, the technical challenges we face every day are huge: from processing over 2 million auctions per second in less than 40ms each, to efficiently storing over 150TB of events’ data daily, to continuously choosing the optimal price level for 300+ campaigns spending several million dollars every month in a constantly changing market, there’s never a boring day at Jampp! WHY DO WE NEED YOU? At Jampp, we solve the most complex and large-scale technological challenges in mobile advertising today. We process over 2,500,000 ad requests per second, which amounts to over 250TB of data per day, across three global data centers. We rely on real-time machine learning models (with billions of features) that give us predictions in less than 100ms. If you've spent your career building real-time, high-throughput data pipelines and want to own the architecture behind systems handling a billion events daily, Jampp is the right place for you. As a Senior Data Engineer , you won't just build pipelines. You'll set the technical direction for how Jampp's data infrastructure evolves. You'll design, architect, and operate large-scale distributed systems across all environments, make key technology decisions, and mentor the engineers around you as we build our next-generation data infrastructure. If you have deep, hands-on experience with distributed systems at scale, a strong command of Python, and you thrive owning ambiguous, high-impact technical problems in a fast-paced environment, you might be the new Jampper we're looking for. WHAT YOU´LL DO • Own the architecture and technical roadmap for key pieces of Jampp's data infrastructure, not just implement it, but define how it should evolve. • Design and implement ETL processes from a wide variety of sources, with an eye toward scalability, incrementality, and long-term maintainability. • Partner closely with Data Scientists and other Senior/Staff engineers to design scalable data models and pipelines that support real-time ML infrastructure. • Drive data consistency and reliability standards across Jampp's systems and machine learning inputs, including defining what "good" looks like for the rest of the team. • Identify and resolve systemic bottlenecks: benchmark systems, diagnose root causes, and propose architectural solutions rather than one-off fixes. • Build and evolve the tools and frameworks that empower colleagues across the company to access data and build reliable, scalable transformations on their own. • Mentor and coach mid-level and junior engineers. You'll be a technical reference point on the team, not just an individual contributor. • Contribute to technical decision-making around tooling and infrastructure choices, weighing trade-offs at a systems level. REQUIREMENTS • 5+ years of programming experience in Python , with a track record of building and owning production-grade distributed systems. Go is a plus. • Proven experience architecting and scaling distributed data processing systems , not just maintaining pipelines someone else designed, but making the core design decisions yourself. • Deep hands-on experience with the AWS Big Data stack (Kinesis, EMR, Lambda, etc.) in high-throughput, transaction- or event-scale environments, think fintech, payments, e-commerce, ad-tech, or gaming, where real

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