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How much do freelance aws jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for freelance aws in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is a freelance AWS professional?

Freelance AWS professionals are independent contractors who offer specialized expertise in Amazon Web Services (AWS) to clients on a project or hourly basis. They help businesses design, deploy, manage, and optimize cloud-based solutions using AWS infrastructure. These freelancers may handle tasks such as cloud migration, DevOps automation, security configurations, and cost optimization. Hiring a freelance AWS expert allows organizations to access high-level skills without committing to full-time employment, making it a flexible and cost-effective solution for cloud projects.

What are freelance jobs that use AWS?

Amazon Web Services (AWS) is a cloud-based computing platform. Freelance AWS jobs utilize the platform to help their clients' businesses run more smoothly. Some examples of these positions include freelance AWS architects who build cloud-based infrastructure for their clients. DevOps engineers create and implement a plan to make operations on the AWS platform more efficient and useful, while contract AWS developers create and configure systems and related software. In these careers, you work on a contract basis. Your job duties include meeting with each client to assess their needs and define project parameters, testing and troubleshooting the product, and making adjustments as necessary.

What are the key skills and qualifications needed to thrive as a freelance AWS specialist, and why are they important?

To thrive as a Freelance AWS specialist, you need strong expertise in cloud computing, AWS core services (such as EC2, S3, and Lambda), and experience with infrastructure-as-code, typically supported by AWS certifications like AWS Certified Solutions Architect. Familiarity with tools like AWS CLI, CloudFormation, Terraform, and continuous integration systems is essential. Excellent client communication, self-management, and problem-solving skills set successful freelancers apart. These abilities ensure you can deliver scalable solutions, efficiently manage projects, and build strong client relationships in a competitive freelance market.

What are some common challenges freelance AWS professionals face when managing multiple client projects?

Freelance AWS professionals often juggle projects for several clients, which can lead to challenges like balancing competing deadlines, keeping up with rapidly evolving AWS services, and ensuring security best practices across different environments. Additionally, freelancers must effectively communicate with stakeholders who may have varying levels of cloud expertise, requiring them to translate technical concepts clearly. Staying organized and continuously updating technical skills are essential to deliver high-quality solutions and maintain client satisfaction.

What is the difference between Freelance Aws vs Freelance Cloud Engineer?

AspectFreelance AwsFreelance Cloud Engineer
CertificationsAWS Certified Solutions Architect, AWS Certified DeveloperAWS certifications, Azure or Google Cloud certifications often preferred
Work EnvironmentRemote, client sites, project-basedRemote, client sites, project-based
Industry UsagePrimarily in companies using AWS cloud servicesIn companies using various cloud platforms, including AWS, Azure, Google Cloud
Job FocusDesigning, deploying, and managing AWS cloud solutionsDesigning, implementing, and maintaining cloud infrastructure across platforms

Freelance Aws specialists focus specifically on AWS cloud services, while Freelance Cloud Engineers may work across multiple cloud platforms. Both roles require similar certifications and work environments, but their scope of expertise differs based on platform specialization.

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Freelance Aws jobs near you
Infographic showing various Freelance Aws job openings in the United States as of September 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 73% Physical, 6% Hybrid, and 21% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Senior Python Data Scraping Engineer (Freelance)

Manhattan, NY • On-site

Mindrift
See more jobs at Mindriftexternal

$45/hr

Other

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.

In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.

This part-time remote opportunity is ideal for technical professionals with hands‑on experience in web scraping, data extraction and processing.

What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real‑world expertise from across the globe.

This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.

Key Responsibilities
  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript‑rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross‑source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.
Requirements
  • At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
  • Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI‑assisted workflows. We are looking for specialists who can solve non‑trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail‑oriented approach and the ability to work independently are essential.
  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
  • Demonstrated experience handling anti‑bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands‑on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • Strong attention to detail and commitment to data accuracy
  • Self‑directed work ethic with ability to troubleshoot independently
  • A link to GitHub is a plus
  • English proficiency: Upper‑intermediate (B2) or above (required)
Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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