Description du poste
<p>P-1343</p> <p>As a software engineer with a data engineering focus, you will work with your team to drive projects that are centered around data analysis and infrastructure for critical business domains for cost attribution, capacity forecasting and efficiency tracking.&nbsp;&nbsp;</p> <p><strong>The impact you'll have:</strong></p> <ul> <li><strong>Design and implement cost-attribution models and systems</strong> by combining your data engineering expertise with a deep technical understanding of the underlying scheduling platforms.</li> <li><strong>Develop systems that generalize capacity management</strong> to ensure flexibility, efficiency, and safety across diverse workloads and environments.</li> <li><strong>Build systems to automatically maintain the right balance between operational efficiency and safety</strong> by monitoring, forecasting, and proactively managing capacity demand across systems.</li> <li><strong>Build foundational data models, metrics, and telemetry pipelines</strong> to track product-wide system reliability and efficiency—providing end-to-end visibility and empowering other teams with actionable insights.</li> </ul> <p>&nbsp;</p> <p><strong>What we look for:</strong></p> <ul> <li>BS (or higher) in Computer Science, or a related field.</li> <li>5+ years of production level experience in one of: Java, Scala, Go, Python - and SQL.</li> <li>2+ years of professional experience with Data Engineering or Data Science.</li> <li>Experience developing large-scale distributed systems.</li> <li>Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.</li> </ul><div class="content-conclusion"><p><strong>About Databricks</s