Key Facts

Remote From:

Full time

Senior (5-10 years)

English

Hard Skills

Apache Spark SQL (Programming Language) Python (Programming Language) AWS Cost Management Analytical Dashboard Kubernetes Data Wrangling Analytics Billing Cloud Management Platforms Jupyter AWS Cost Management Automated Cost Estimating Integrated Tools Cross-Functional Collaboration Engineering Documentation Stakeholder Communications Thought Leadership

Other Skills

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Communication
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Persuasive Communication
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Analytical Thinking
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Presentations
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Problem Solving

Virtasant

Information Technology & Services

About Virtasant

Virtasant is a fully-remote and globally distributed technology and business services company that brings the breadth and capability of more than 4,000 technology professionals in 130 countries. We started working in the public cloud in 2007, and over the last 13 years, our team has built or re-platformed over 200 applications, with over 600 million lines of code currently under management.In this time, our team has developed proprietary software and methodologies that help us quickly and accurately identify opportunities to maximize the speed, scale and cost advantages that come with native cloud computing. Virtasant combines industry-leading cloud specialization with a deep bench of global experts across every aspect of the product lifecycle to deliver superior results to our clients. Virtasant offers services including cloud assessments and migrations, custom product development, information management, machine learning, remote team management, application modernization, full-lifecycle technology outsourcing, and more.

Company type: SME

Industry: Information Technology & Services

Founded: 2018

Company size: 51 - 200

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Job description

Lead Data Engineer – Cloud Optimization & FinOps
Location: Remote (Americas)

About Virtasant
Virtasant is a global leader in cloud cost optimization and technology services. We help organizations harness the full potential of the cloud while minimizing costs, improving performance, and embedding AI-driven automation into everything we build. Our clients include Fortune 500 companies and fast-scaling startups, and we operate as a fully remote, globally distributed team.

About the Role
We are seeking a Lead Data Engineer with deep technical and problem solving acumen to join our internal team focused on driving cloud cost optimization and operational excellence across Virtasant. In this high-impact role, you’ll work across engineering, product, and executive teams to uncover cost-saving opportunities, influence decision-making, and ensure cloud resources are used efficiently at scale.

This role combines advanced data analysis, strong stakeholder engagement, and deep cloud infrastructure knowledge - perfect for someone who can bridge financial, technical, and operational domains.

Key Responsibilities

Cloud Cost Analysis & Insight Generation
Analyze large-scale datasets from AWS, Kubernetes, and other cloud platforms using Python, SQL, PySpark, and Jupyter Notebooks to uncover cost trends, inefficiencies, and optimization opportunities.
Rightsizing & Optimization Execution
Proactively identify rightsizing opportunities (compute, storage, etc.) and partner with engineering teams to execute recommendations and realize savings.
Reporting & Communication
Build impactful dashboards, reports, and documents that clearly explain findings to technical and non-technical stakeholders, including engineers, PMs, and execs.
Influence & Stakeholder Management
Present complex analysis in a way that drives change - even in cases of resistance or scrutiny. Persuasively advocate for cost-saving actions and influence outcomes.
Continuous Improvement & Thought Leadership
Stay current on cloud provider changes, pricing models, FinOps tooling, and best practices. Bring fresh ideas and improvements to Virtasant’s internal cloud operations.
Initiative & Ownership
Take ownership of new work streams, identify areas of opportunity, and independently execute high-impact work without constant oversight.

Required Qualifications

Technical Expertise

Proficient in Python, SQL, PySpark and Trino for data wrangling and analysis.
Hands-on experience with AWS cost tools, services, and billing data (CUR, Savings Plans, RI management).
Familiarity with Kubernetes and cost optimization tooling.
Experience using Jupyter Notebooks for interactive analysis and sharing insights.

Analytical & Communication Strength

Proven track record in analyzing cloud cost data and surfacing actionable insights.
Clear, concise communicator - especially when presenting complex data in writing or presentations.
Comfortable writing internal documents that drive alignment and action across technical teams.

Influence & Resilience

Strong stakeholder management skills - can handle skepticism, pushback, or disagreement while still guiding decisions.
Confidence in presenting analysis to engineering leaders, product teams, and execs.

Proactive & Autonomous

Self-directed and highly motivated. You don’t wait for work to be assigned - you find the next most important thing and make progress.

Why Join Virtasant?

Work with a mission-driven company that’s leading the future of cloud optimization.
Be part of a fully remote, global team of smart, kind, and driven people.
Have a direct impact on how we run and scale our own business.
Shape and improve our internal cost optimization practices using cutting-edge tools and techniques.