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Data Engineer | 2025PX05009 | 477|DB-26453

Mindverse Mountain View, California, United States Contract
N/A
per year

Job Description

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)

Company Information

Location: Singapore, Singapore

Type: Hybrid