1

Aws Cost Optimization Jobs (NOW HIRING)

AWS Data Architect

Torrance, CA · On-site

$66.50 - $85.50/hr

Optimize data storage and processing costs by leveraging AWS cost optimization features. * Data Exchange * Develop the required governance, security, monitoring and guard rails to enable efficient ...

Senior Data Engineer

Denver, CO · On-site

$40 - $60/hr

AWS Cost Optimization & FinOps Analysis * Analyze AWS spend data to identify cost-saving opportunities. * Work with AWS Cost Intelligence Dashboards to customize and extend their functionality.

Cloud Developer

West Sacramento, CA

$58.25 - $80/hr

Experience with cost optimization strategies using AWS Cost Explorer, Trusted Advisor, or resource tagging and chargeback models. * Scripting experience with Bash, PowerShell, or equivalent. Required ...

AWS Data Architect

Torrance, CA · Hybrid

$65.50 - $84.25/hr

Optimize data storage and processing costs by leveraging AWS cost optimization features. * Data Exchange * Develop the required governance, security, monitoring and guard rails to enable efficient ...

Senior Data Engineer Responsibilities: · AWS Cost Optimization & FinOps Analysis o Analyze AWS spend data to identify cost-saving opportunities. o Work with AWS Cost Intelligence Dashboards to ...

Cloud FinOps Engineer

Chantilly, VA · On-site

$57.50 - $77/hr

... cost optimization. * Deep expertise in AWS (Cost Explorer, Budgets), Azure, or GCP. * Understanding of cloud financial management, cost allocation, and tagging strategies. * Experience with ...

AWS Cost Optimization & FinOps Analysis o Analyze AWS spend data to identify cost-saving opportunities. o Work with AWS Cost Intelligence Dashboards to customize and extend their functionality. o ...

Senior Data Engineer Responsibilities: • AWS Cost Optimization & FinOps Analysis o Analyze AWS spend data to identify cost-saving opportunities. o Work with AWS Cost Intelligence Dashboards to ...

Senior Financial Specialist

Lehi, UT

$80K - $100K/yr

Analyze AWS cost anomalies and optimization opportunities - including Reserved Instances, Savings Plans, and rightsizing - and track realized savings against targets * Build and maintain cloud cost ...

... Optimization & Collaboration * Partner with engineering leaders to improve and automate cost management processes * Identify, track, and prioritize cost-saving opportunities across AWS, Azure, and ...

... Optimization & Collaboration * Partner with engineering leaders to improve and automate cost management processes * Identify, track, and prioritize cost-saving opportunities across AWS, Azure, and ...

next page

Showing results 1-20

Aws Cost Optimization information

See salary details

$45.5K

$97K

$139.5K

How much do aws cost optimization jobs pay per year?

As of Jun 9, 2026, the average yearly pay for aws 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.

What is an AWS Cost Optimization job?

An AWS Cost Optimization job focuses on analyzing cloud usage and spending to identify opportunities for reducing costs while maintaining performance and scalability. Professionals in this role use tools like AWS Cost Explorer, AWS Budgets, and Reserved Instances to optimize resource allocation. They work closely with finance and engineering teams to implement cost-saving strategies such as rightsizing instances, leveraging savings plans, and implementing automation for cost management.

What are the key skills and qualifications needed to thrive in the Aws Cost Optimization position, and why are they important?

To thrive in AWS Cost Optimization, a strong background in cloud computing, financial analysis, and AWS services is essential, often supported by a bachelor's degree in computer science, IT, or a related field. Familiarity with tools like AWS Cost Explorer, Trusted Advisor, and experience with AWS Certified Solutions Architect or AWS Certified Cloud Practitioner certifications are typically required. Analytical thinking, attention to detail, and effective communication are key soft skills for success. These skills are vital for implementing cost-saving strategies, collaborating with cross-functional teams, and ensuring an organization maximizes value from its AWS investments.

What are the common challenges faced by professionals in AWS Cost Optimization roles?

One common challenge in AWS Cost Optimization is balancing the need for robust cloud services with efficient resource spending, especially as cloud environments become increasingly complex. Professionals in this role must frequently analyze usage patterns, negotiate resource commitments, and recommend architectural changes to minimize wasted spend. They often work closely with IT, engineering, and finance teams to align technical requirements with budget goals. Staying current with evolving AWS pricing models and features is crucial for providing ongoing actionable advice to organizations.

More about Aws Cost Optimization jobs
What are the most commonly searched types of Aws Cost Optimization jobs? The most popular types of Aws Cost Optimization jobs are:
What job categories do people searching Aws Cost Optimization jobs look for? The top searched job categories for Aws Cost Optimization jobs are:
Infographic showing various Aws Cost Optimization job openings in the United States as of May 2026, with employment types broken down into 45% Full Time, and 55% Contract. Highlights an 85% In-person, 5% Hybrid, and 10% Remote job distribution, with an average salary of $97,048 per year, or $46.7 per hour.

AWS Data Architect

MSR Cosmos

Torrance, CA • On-site

$66.50 - $85.50/hr

Contractor

Posted 13 days ago


Job description

Role: AWS Data Architect

Location: Torrance CA Onsite-4 days a week

Duration: Long Term

Key Responsibilities

Data Architecture Design:

  • Architect and implement a scalable data hub solution on AWS using best practices for data ingestion, transformation, storage, and access control.
  • Define data models, data lineage, and data quality standards for the Datahub.
  • Select appropriate AWS services (S3, Glue, Redshift, Athena, Lambda) based on data volume, access patterns, and performance requirements.
  • Come up with a design that accommodates AI/ML applications in the next phase
  • Data Ingestion and Integration:
  • Design and build data pipelines to extract, transform, and load data from various sources (databases, APIs, flat files) into the Datahub using AWS Glue, AWS Batch, or custom ETL processes.
  • Implement data cleansing and normalization techniques to ensure data quality.
  • Manage data ingestion schedules and error handling mechanisms.
  • Data Governance and Access Control:
  • Establish data access controls and security policies to protect sensitive data within the Datahub using IAM roles and policies.
  • Develop data governance frameworks including data quality checks, data lineage tracking, and data retention policies.
  • Data Analytics Enablement:
  • Create data catalogs and metadata management systems to facilitate data discovery and understanding by business users and data analysts.
  • Design and implement data views and dashboards using Power BI to enable data exploration and visualization.
  • Create data warehouses and data marts to meet the needs of the business
  • Monitoring and Optimization:
  • Monitor data pipeline performance, data quality, and system health to identify and resolve issues proactively.
  • Optimize data storage and processing costs by leveraging AWS cost optimization features.
  • Data Exchange
  • Develop the required governance, security, monitoring and guard rails to enable efficient data exchange between internal application and their external vendors, partners, and SaaS providers
  • Develop intake process, SLAs, and usage rules for internal and external data set producers and consumers

Required Skills and Experience:

  • AWS Expertise: Deep understanding of AWS data services including S3, Glue, Redshift, Athena, Lake Formation, Sep Functions, CloudWatch and EventBridge.
  • Data Modeling: Proficiency in designing dimensional and snowflake data models for data warehousing and data lakes.
  • Data Engineering Skills: Experience with ETL/ELT processes, data cleansing, data transformation, and data quality checks. Experience with Informatica IICS and ICDQ is a plus.
  • Programming Languages: Proficiency in Python, SQL, and potentially Pyspark for data processing and manipulation.
  • Data Governance: Knowledge of data governance best practices including data classification, access control, and data lineage tracking.

Preferred Qualifications:

  • Experience with data lake house architectures and the ability to leverage both structured and unstructured data.
  • Familiarity with data visualization tools like Tableau or Power BI.
  • Strong communication and collaboration skills to work with stakeholders across business and technical teams.
  • AWS certifications related to data analytics and architecture.
Thanks
Ramesh