Senior Data Engineer

Posted 5 Days Ago
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Hiring Remotely in Argentina
Remote
Senior level
AdTech
The Role
Designs and owns large-scale distributed data infrastructure, including scalable ETL processes, real-time data pipelines, data models, and machine learning inputs. The role establishes reliability standards, diagnoses systemic bottlenecks, makes architecture and tooling decisions, operates high-throughput systems, and mentors engineers. It requires deep experience with Python, AWS Big Data services, TrinoDB or PrestoDB, Docker, Kubernetes, PySpark, databases, and SQL in production environments.
Summary Generated by Built In
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-time or near-real-time data volume is core to the business.
  • Strong experience managing and operating TrinoDB/PrestoDB clusters in production.
  • Production experience with Docker, Kubernetes, and PySpark, comfortable owning the infrastructure these run on, not just deploying to it.
  • Rock-solid knowledge of databases and SQL, including performance tuning at scale.
  • Databricks experience is a strong plus.
  • A track record of mentoring and coaching engineers. This role expects you to actively raise the technical bar of the team.
  • Engagement with the open source community (raising issues, contributing PRs, participating in technical discussions) is a strong extra, it signals the kind of depth we're looking for.
  • Comfortable operating with significant ownership and ambiguity, and making sound architectural calls without needing everything spelled out.
WHAT WE OFFER
  • 📱 Learn a ton about the hottest area of growth in Internet advertising - Mobile!
  • 💰 Competitive salary, benchmarked to attract senior talent from high-growth tech, fintech, and e-commerce companies.
  • 📈 High technical ownership from day one, with real influence over architecture decisions and the team's technical direction.
  • 💪🏼 An entrepreneurial environment.
  • A dynamic remote-first work culture with the possibility of accessing coworking spaces as needed.
  • 🤓 A structured remote onboarding process and continuous training with a supportive team. We win together!
  • Work with a talented global team you can constantly learn from. We have Jamppers from 🇧🇷🇬🇧🇺🇸🇮🇪🇫🇷🇩🇪🇦🇷🇷🇺... our customers are not the only ones from around the globe 😉
  • 😎 Cool swag and team activities (even when working from home!)

Skills Required

  • 5+ years of programming experience in Python
  • Track record of building and owning production-grade distributed systems
  • Experience architecting and scaling distributed data processing systems
  • Deep hands-on experience with the AWS Big Data stack, including Kinesis, EMR, or Lambda, in high-throughput environments
  • Strong experience managing and operating TrinoDB or PrestoDB clusters in production
  • Production experience with Docker, Kubernetes, and PySpark
  • Strong knowledge of databases and SQL, including performance tuning at scale
  • Experience mentoring and coaching engineers
  • Databricks experience
  • Engagement with the open source community, including issues, pull requests, or technical discussions
  • Go programming experience
  • Ability to operate with significant ownership and ambiguity and make architectural decisions independently
Am I A Good Fit?
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The Company
HQ: Buenos Aires
112 Employees
Year Founded: 2013

What We Do

Jampp is a programmatic advertising platform used by the most ambitious companies to accelerate their mobile businesses. Founded in 2013, Jampp leverages machine learning, creative optimization and proprietary advertising solutions to drive incremental growth for its customers, whether that means reaching new users or increasing post-install conversions. In 2021, the company joined the Affle group, a global consumer intelligence technology company. For more information, visit jampp.com

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