Senior Data Engineer

Job not on LinkedIn

🔥 12 minutes ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Jampp

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

📣 Marketing

🎮 Gaming

💰 $7M Series A on 2015-02

Marketing • Advertising • Gaming

Jampp is a programmatic advertising platform designed to drive growth for mobile apps through user acquisition and app retargeting. The company leverages machine learning and predictive algorithms to optimize advertising strategies, ensuring positive ROI by adjusting bids, placements, and creatives dynamically. Jampp offers full visibility into ad performance and spend via its dashboard and API. Its technology is used across various industries including gaming, commerce, and financial services, helping businesses achieve growth at scale by tapping into extensive ad requests and optimizing user engagement throughout the user journey.

📋 Description

• Own the architecture and technical roadmap for key pieces of Jampp's data infrastructure • Design and implement scalable, incremental, and maintainable ETL processes from varied sources • Partner with Data Scientists and Senior/Staff engineers on scalable data models and pipelines supporting real-time ML infrastructure • Drive data consistency and reliability standards across systems and machine learning inputs • Identify and resolve systemic bottlenecks through benchmarking, root-cause diagnosis, and architectural solutions • Build and evolve tools and frameworks enabling company-wide data access and reliable, scalable transformations • Mentor and coach mid-level and junior engineers • Contribute to technical decisions about tooling and infrastructure choices

🎯 Requirements

• 5+ years of programming experience in Python, with a track record of building and owning production-grade distributed systems • Proven experience architecting and scaling distributed data processing systems • Deep hands-on experience with the AWS Big Data stack, including Kinesis, EMR, and Lambda, in high-throughput, transaction- or event-scale environments • Strong experience managing and operating TrinoDB/PrestoDB clusters in production • Production experience with Docker, Kubernetes, and PySpark • 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 • Engagement with the open source community is a strong extra • Comfort operating with significant ownership and ambiguity and making sound architectural calls without everything being spelled out

🏖️ Benefits

• 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 • Work with a talented global team you can constantly learn from • Cool swag and team activities, even when working from home