Rise is revolutionizing programmatic digital advertising with AI-powered auction optimization, driving greater efficiency in real-time bidding (RTB). Our algorithms ensure partners maximize revenue by reaching the right audience at the right moment.

At Rise, we’re on a mission to redefine how digital advertising works, and we’re doing it at scale with innovative solutions trusted by some of the largest industry leaders and top publishers across CTV, in-app, and web.

What makes us different? It’s our people. We believe happy employees make for exceptional work, so we prioritize creating a workplace where you’ll feel inspired, valued, and excited to start your day.

We’re looking for a Data Engineer to design and build ETL processes that turn raw data into clean, aggregated datasets. You’ll work closely with analysts, product, and business teams to understand needs and deliver scalable, production-ready data models

.This is a hands-on role in a high-scale environment, working with massive data volumes and real business impact

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Responsibilities

• : Design and build end-to-end ETL processes using Python, SQL, and Spa
• rkTranslate business needs into robust data solutions—don’t just execute, help shape the directi
• onOwn the development of data tables and pipelines that are maintainable, reusable, and scalab
• leCollaborate with analysts, data scientists, and other stakeholders to understand requiremen
• tsDrive automation and avoid redundant tables and duplicated log
• icMonitor, troubleshoot, and continuously improve data workflo

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Requirement

• s: 2+ years of hands-on experience as a Data Engineer or in a similar r
• oleStrong knowledge of SQL and Pyt
• honExperience with Apache Spark or similar big data framewo
• rksFamiliarity with Airflow or other orchestration to
• olsComfortable working in a cloud-based environm
• entStrong business intuit
• ionIndependent, proactive, and curi
• ousExperience working with large-scale data and building clean, efficient data infrastruct