Job Summary: We are seeking an experienced Data Engineer/Software Engineer to join our Multi-Cloud Efficiency (MCE) team. In this role, you will play a critical part in scaling cost attribution infrastructure and enhancing financial visibility across our cloud platforms. Your work will directly support internal stakeholders, including Technical Program Managers (TPMs), Finance, and Infrastructure teams, by delivering high-impact engineering solutions that drive cost optimization and operational efficiency. Key Responsibilities:
Design, build, and optimize large-scale data pipelines and architectures to automate cost attribution across compute, storage, and cloud services.
Debug and resolve cost allocation issues, implementing and refining attribution logic for improved accuracy and flexibility.
Develop data validation mechanisms to detect anomalies and regressions in cost and efficiency datasets.
Build scalable, reliable, and efficient datasets and pipelines, reducing manual processes through automation.
Create intuitive dashboards and visualizations (e.g., in Databricks, Tableau, or similar) to provide clear cost insights for engineering, finance, and leadership teams.
Collaborate with cross-functional teams (Executive, Product, Data, Design) to understand data infrastructure needs and resolve technical challenges.
Contribute to internal tooling and automation to minimize operational overhead and improve efficiency.
Work in a highly technical, supportive team on well-scoped problems with immediate business impact.
Stay flexible and proactive, stepping in to address critical business needs as they arise.
Required Skills & Qualifications:
8+ years of hands-on experience in data engineering, software engineering, or cloud cost analytics.
Expertise in SQL, Python, and distributed data systems (e.g., Spark, Hadoop).
Strong experience in building and optimizing data pipelines, ETL processes, and large-scale datasets.
Proficiency in debugging, root cause analysis, and problem-solving in ambiguous or operational settings.
Experience with cloud infrastructure (AWS, Azure, or GCP) and cost management tools.
Ability to translate complex data into actionable insights for both technical and non-technical stakeholders.
Strong communication skills to collaborate with finance, engineering, and leadership teams.
Preferred Qualifications:
Experience with Scala, Databricks, or similar data platforms.
Background in FinOps, cloud cost optimization, or financial data modeling.
Familiarity with data visualization tools (e.g., Tableau, Looker, Grafana).
Knowledge of Kubernetes and container cost tracking.
Numbers & Facts
Location
Mountain View, CA (Remote)
Salary
$42.98–$68.68 Per Hour
Skills
Amazon Web Services (AWS)unmatched
Apache Hadoopunmatched
Apache Sparkunmatched
Automationunmatched
Cloud Computingunmatched
Cloud Storageunmatched
Communication Skillsunmatched
Cost Allocationunmatched
Cost Analysisunmatched
Cost Controlunmatched
Cost Engineeringunmatched
Cross-Functionalunmatched
Data Managementunmatched
Data Modelingunmatched
Data Qualityunmatched
Data Setsunmatched
Data Visualization Toolsunmatched
Database Extract Transform and Load (ETL)unmatched
Debugging Skillsunmatched
Distributed Computingunmatched
Financeunmatched
Financial Modelingunmatched
GCP (Good Clinical Practices)unmatched
Leadershipunmatched
Lookerunmatched
Machine Toolunmatched
Microsoft Windows Azureunmatched
Multiplatform/Cross-Platformunmatched
Needs Assessmentunmatched
Operational Improvementunmatched
Problem Solving Skillsunmatched
Process Improvementunmatched
Project/Program Managementunmatched
Python Programming/Scripting Languageunmatched
Reporting Dashboardsunmatched
Root Cause Analysisunmatched
SQL (Structured Query Language)unmatched
Scala Programming Languageunmatched
Scalable System Developmentunmatched
Software Engineeringunmatched
Tableauunmatched
Team Playerunmatched
Technical Leadershipunmatched
Technical Supportunmatched
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