[Hiring] Senior Data Engineer @Jampp

Role Description

As a Senior Data Engineer at Jampp, 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.

• Own the architecture and technical roadmap for key pieces of Jampp's data infrastructure.
• Design and implement ETL processes from a wide variety of sources, focusing on 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.
• Identify and resolve systemic bottlenecks: benchmark systems, diagnose root causes, and propose architectural solutions.
• Build and evolve the tools and frameworks that empower colleagues across the company to access data and build reliable, scalable transformations.
• Mentor and coach mid-level and junior engineers.
• Contribute to technical decision-making around tooling and infrastructure choices.

Qualifications

• 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.
• Deep hands-on experience with the AWS Big Data stack (Kinesis, EMR, Lambda, etc.) in high-throughput 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.
• Comfortable operating with significant ownership and ambiguity.

Requirements

• 5+ years of programming experience in Python.
• Experience architecting and scaling distributed data processing systems.
• Hands-on experience with the AWS Big Data stack.
• Experience managing and operating TrinoDB/PrestoDB clusters.
• Production experience with Docker, Kubernetes, and PySpark.
• Knowledge of databases and SQL.
• Databricks experience is a plus.
• Mentoring and coaching experience.
• Engagement with the open source community.
• Ability to operate with ownership and ambiguity.

Benefits

• Learn about the hottest area of growth in Internet advertising - Mobile!
• Competitive salary, benchmarked to attract senior talent.
• High technical ownership from day one.
• An entrepreneurial environment.
• A dynamic remote-first work culture with coworking space access.
• A structured remote onboarding process and continuous training.
• Work with a talented global team.
• Cool swag and team activities.