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 TimingRegular 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)
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