JOB TITLE: Data Engineer I
LOCATION: Mountain View, CA or Remote
DURATION: 6 months
PAY RANGE: $43-$63/hr
TOP 3 SKILLS:- Proficiency in SQL, Python, data pipelines, data vizualization, and distributed systems
- Strong debugging and problem-solving skills, especially in ambiguous or operational settings
- Experience with cloud infrastructure (AWS, Azure, or GCP), Scala, and cost analytics a strong plus
COMPANY:Our client, a fortune 500 data and AI company is looking to identify a Data Engineer I to join their team.
About the RoleWe 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.
What You’ll Work On- 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
What We’re Looking For- 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
BENEFITS SUMMARY: Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.
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