Data Engineer

Join the Multi-Cloud Efficiency (MCE) team to help scale cost attribution infrastructure and enhance financial visibility across cloud platforms. This role is ideal for mid-level engineers looking to make high-impact contributions in a collaborative, technically advanced environment.

Responsibilities:

• Assemble large, complex datasets; build scalable, reliable, and efficient data pipelines
• Debug and resolve cost attribution across compute, storage, and cloud services
• Implement and refine cost re-attribution logic for improved financial reporting
• Write robust validation and regression detection logic for cost/efficiency datasets
• Create user-friendly cost and efficiency visualizations for internal teams
• Collaborate with TPMs, Finance, Infra, and other cross-functional stakeholders
• Automate and improve manual processes, contributing to internal tooling
• Own outcomes in ambiguous or high-priority engineering environments

Must-Have Qualifications (These MUST be listed under each job experience on the resume):

• 6+ years of professional experience, including recent roles focused on:
  • Debugging and performing root cause analysis
  • Assembling large, complex datasets
  • Automating manual data processes
• Strong current experience with:
  • AWS cloud infrastructure
  • Back-end development using Scala
  • Databricks tools (preferred but not mandatory)
  • SQL (query optimization), Python, data pipelines, and data visualization
  • Distributed systems and cost analytics

Nice-to-Have:

• Hands-on experience building financial or cost attribution systems in cloud environments
• Demonstrated ability to work in cross-functional teams with Finance, Product, and Engineering