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Remote Cost Optimization Jobs (NOW HIRING)

Ruri Software Technologies LLC

GCP Data Engineer

$117K - $140K/yr

Data engineer with GCP Location : Remote Skills:- * Experience working in GCP based Big Data ... Cost optimization for Dataproc workload management * Implement solutions for structured, semi ...

Centric Software

Cloud Principal Engineer

Campbell, CA · On-site +1

$64.50 - $86.25/hr

Anywhere in US / Remote Experience level: 5 Years Compensation: Negotiable Role Summary We are ... Drive cloud cost optimization initiatives from audit to remediation execution. * Lead platform ...

Noblesoft Technologies

GCP Data Engineer

Minneapolis, MN · Remote

$117K - $140K/yr

Minneapolis, MN(Remote) * Design and deploy cloud-based infrastructure on Google Cloud Platform ... Provide cost optimization strategies and monitoring to ensure effective use of resources. * Stay up ...

Trojan Battery Company

Cost Engineer

Charleston, WV · Remote

Support value engineering and process optimization efforts focused on manufacturability, automation ... Proactive, results-oriented, and have strong attention to detail. #LI-Remote if you like wild ...

Redolent, Inc.

Data Engineer (MQTT & IOT)

$117K - $140K/yr

Remote Rate: DOE Job Summary: We are seeking a highly skilled and motivated Data Engineer with ... Experience with cost optimization in cloud or on-premise data environments. * Excellent ...

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Remote Cost Optimization information

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$45.5K

$97K

$139.5K

How much do remote cost optimization jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote cost optimization in the United States is $97,048.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $114,000.00 per year, depending on experience, location, and employer.

How does a remote cost optimization specialist typically collaborate with other departments to identify and implement savings opportunities?

Remote Cost Optimization specialists frequently work cross-functionally with finance, procurement, IT, and operations teams to analyze spending patterns and identify areas for cost reduction. Collaboration often involves virtual meetings, shared dashboards, and regular reporting to stakeholders. A key part of the role is communicating findings and recommendations clearly, ensuring that proposed changes align with both budgetary goals and operational needs. Building strong relationships and maintaining transparent communication channels with other departments is crucial for successfully implementing cost-saving measures.

What is a remote cost optimization specialist?

A Remote Cost Optimization Specialist is a professional who analyzes a company's expenses and operational processes from a remote location to identify opportunities for reducing costs and improving efficiency. They use data analysis, market research, and industry best practices to recommend strategic changes, negotiate better contracts, and implement cost-saving measures. Their role is crucial for organizations looking to maximize profitability, especially in remote or distributed work environments.

What is the difference between Remote Cost Optimization vs Remote Data Analyst?

AspectRemote Cost OptimizationRemote Data Analyst
Required CredentialsAnalytical skills, basic finance or business knowledgeData analysis, statistical, and programming skills
Work EnvironmentFinance, operations, or procurement teamsData teams, business intelligence departments
Industry UsageFinance, consulting, supply chainTech, marketing, finance
Search & Comparison IntentCost reduction strategies, budget optimizationData analysis, reporting, insights

Remote Cost Optimization focuses on reducing expenses and improving financial efficiency, often working with finance and operations teams. Remote Data Analysts interpret data to generate insights, supporting decision-making across various departments. While both roles involve data skills, their core objectives and industry applications differ significantly.

What are the key skills and qualifications needed to thrive as a remote cost optimization specialist?

To excel as a Remote Cost Optimization Specialist, you need strong analytical skills, financial acumen, and experience in budgeting or cost management, often supported by a degree in finance, accounting, or business. Familiarity with data analytics tools, spreadsheet software like Excel, and cloud-based cost management platforms is typically required. Excellent communication, problem-solving abilities, and attention to detail help professionals effectively collaborate with remote teams and implement cost-saving strategies. These skills are crucial for identifying inefficiencies and ensuring organizations operate profitably while maximizing resource use.

What cities are hiring for Remote Cost Optimization jobs?

Cities with the most Remote Cost Optimization job openings:

What are the most commonly searched types of Cost Optimization jobs?

The most popular types of Cost Optimization jobs are:

What states have the most Remote Cost Optimization jobs?

States with the most job openings for Remote Cost Optimization jobs include:

Remote Cost Optimization jobs near you
Infographic showing various Remote Cost Optimization job openings in the United States as of June 2026, with employment types broken down into 82% Full Time, 7% Part Time, 1% Temporary, and 10% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $97,048 per year, or $46.7 per hour.

GCP Data Engineer

Ruri Software Technologies LLC

Remote

$117K - $140K/yr

Full-time

Re-posted 27 days ago

Job description

Data engineer with GCP
Location : Remote
Skills:-
  • Experience working in GCP based Big Data deployments (Batch/Real-Time)Leveraging Big Query,Fusion, Dataflow, Dataproc, etc.
  • Demonstrated mastery in Google BigQuery
  • Strong knowledge on Google cloud storage Data lifecycle management
  • Strong knowledge on BIGQuery Slots management
  • Cost optimization for Dataproc workload management
  • Implement solutions for structured, semi-structured, and unstructured data sources,relations
  • Advanced Python coding skills
  • Experience with CI-CD pipelines for promoting big data release deployments and designing(Nexus, Artifactory)

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