Data Engineer | 2025PX05009 | 477|DB-26453

We are looking for experienced contract data/software engineer contractors to support the Multi-Cloud Efficiency (MCE) team in scaling cost attribution infrastructure and improving financial visibility across our cloud platforms.

This role focuses on high-importance engineering tasks that serve internal partners like TPMs, Finance, and Infra.

Responsibilities

• Assembling large, complex sets of data and help make critical datasets and pipelines scalable, reliable, efficient, automating manual processes.
  


• Debugging and resolving cost attribution across compute, storage, and services, Implementing and modifying cost re-attribution logic to improve accuracy and flexibility
  


• Writing robust logic and data validation for regression detection in cost and efficiency datasets, land immediate impact
  


• Contributing to internal tooling and automation to reduce operational toil
  


• Build cost and efficinecy visualizations usable by wide audiance, landing immediate impact on a critical cost visibility platform used by engineering, finance, and leadership
  


• Be motivated to drive end outcome, and ready to jump in where there is crirtical business need
  


• Work with a highly technical and supportive team on well-scoped problems
  


• Flexible work setup with potential for repeat engagements or full-time conversion​
  

Requirements

• A minimum 8 years is required


• Proficiency in SQL, Python, data pipelines, data vizualization, and distributed systems
  


• Strong debugging and problem-solving skills, especially in ambiguous or operational settings
  


• Ability to build and optimize data sets, data pipelines and architectures
  


• Ability to debug and perform root cause analysis on data to identify opportunities for improvement and answer questions
  


• Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
  


• Experience with cloud infrastructure (AWS, Azure, or GCP), Scala, and cost analytics a strong plus
  


• Experience with Databrick product is a strong plus
  

Work Timing

Regular Hours

Monday to Friday, 9am to 5pm

Work Timezone

Global Timezone

(GMT -0700) Pacific Time - Los Angeles (PST)

Reporting Location

351 Mountain View, CA (MAG-OFF-008|MAG-OFF-011) 351 E. Evelyn Ave Mountain View ​

Hours per week

40

Duration

6 month(s)