Collaborate closely with data science, product, and engineering teams to integrate models into ... Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake)
Collaborate closely with data science, product, and engineering teams to integrate models into ... Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake)
Global Head of Technology & Cybersecurity Internal Audit Remote- Mid-Atlantic Region Monday to ... Provide independent assurance over information security, cyber resilience, cloud environments ...
Global Head of Technology & Cybersecurity Internal Audit Remote- Mid-Atlantic Region Monday to ... Provide independent assurance over information security, cyber resilience, cloud environments ...
Senior Director of Data Science (Remote)
Wilmington, DE · On-site +1
... modern cloud environments and working closely with Engineering and ML Ops teams. * Strong ... REMOTE #LI-NM1
Senior Director of Data Science (Remote)
Wilmington, DE · On-site +1
... modern cloud environments and working closely with Engineering and ML Ops teams. * Strong ... REMOTE #LI-NM1
Remote Aws Cloud Engineer information
See Delaware salary details
$23.58 - $29.37
0% of jobs
$29.37 - $35.17
1% of jobs
$35.17 - $40.97
2% of jobs
$40.97 - $46.76
6% of jobs
$46.76 - $52.56
12% of jobs
$53.77 is the 25th percentile. Wages below this are outliers.
$52.56 - $58.35
19% of jobs
The median wage is $61.41 / hr.
$58.35 - $64.15
19% of jobs
$64.15 - $69.95
16% of jobs
$70.08 is the 75th percentile. Wages above this are outliers.
$69.95 - $75.74
12% of jobs
$75.74 - $81.54
7% of jobs
$81.54 - $87.33
6% of jobs
$23
$62
$87
How much do remote aws cloud engineer jobs pay per hour?
As of Aug 23, 2026, the average hourly pay for remote aws cloud engineer in Delaware is $62.94, according to ZipRecruiter salary data. Most workers in this role earn between $53.65 and $71.68 per hour, depending on experience, location, and employer.
What is a remote AWS Cloud Engineer?
A Remote AWS Cloud Engineer is responsible for designing, deploying, and managing cloud infrastructure on Amazon Web Services (AWS) while working from a remote location. They ensure scalability, security, and performance of cloud environments by implementing best practices, automation, and monitoring solutions. Their role often involves collaborating with development teams, optimizing cloud costs, and troubleshooting issues. Strong expertise in AWS services like EC2, S3, Lambda, and IAM, as well as proficiency in infrastructure-as-code tools like Terraform or CloudFormation, is typically required.
What are the key skills and qualifications needed to thrive as a remote AWS Cloud Engineer?
To thrive as a Remote AWS Cloud Engineer, you need expertise in cloud architecture, AWS services, infrastructure-as-code, and automation, often supported by a degree in computer science or a related field. Familiarity with tools like AWS CloudFormation, Terraform, CI/CD pipelines, and certifications such as AWS Certified Solutions Architect are typically required. Strong problem-solving, time management, and effective remote communication skills are valuable for collaborating with distributed teams. These abilities are essential for delivering secure, scalable, and reliable cloud solutions in a remote work environment.
What are some common challenges faced by remote AWS Cloud Engineers and how can they be addressed?
Remote AWS Cloud Engineers often encounter challenges such as coordinating across time zones, staying updated with rapidly evolving AWS services, and ensuring security best practices in distributed environments. To address these, it's important to set clear communication routines with your team, regularly participate in AWS webinars or training, and implement robust documentation for all cloud resources. Adopting a proactive approach to monitoring and automating infrastructure can reduce downtime and manual errors. Effective collaboration tools and strong self-management skills are key to navigating these remote work challenges while maintaining productivity.
What are the most commonly searched types of Aws Cloud Engineer jobs in Delaware?
The most popular types of Aws Cloud Engineer jobs in Delaware are:
What are popular job titles related to Remote Aws Cloud Engineer jobs in Delaware?
For Remote Aws Cloud Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Remote Aws Cloud Engineer jobs in Delaware look for?
The top searched job categories for Remote Aws Cloud Engineer jobs in Delaware are:
What cities in Delaware are hiring for Remote Aws Cloud Engineer jobs?
Cities in Delaware with the most Remote Aws Cloud Engineer job openings:
Part-time
Re-posted 18 days ago
Job description
At Athena, we empower possibility through transformative delegation. True leaders reflect on what they want and map the path to get there. We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ongoing support throughout the journey. The result: 10x more leverage, more time, and a greater impact.
We are on a mission to build the best delegation platform in the world, leveraging Human+AI to provide superior experiences for delegating complex tasks.
Role Overview
The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and clients, delivering tailored recommendations based on robust data insights. You will actively contribute to enhancing our delegation platform by leveraging predictive modeling, data analytics, and optimization techniques.
Responsibilities
Qualifications
Preferred Qualifications
Benefits
We are on a mission to build the best delegation platform in the world, leveraging Human+AI to provide superior experiences for delegating complex tasks.
Role Overview
The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and clients, delivering tailored recommendations based on robust data insights. You will actively contribute to enhancing our delegation platform by leveraging predictive modeling, data analytics, and optimization techniques.
Responsibilities
- Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights.
- Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover trends and generate actionable recommendations.
- Collaborate closely with data science, product, and engineering teams to integrate models into production systems.
- Present findings through clear reports, visualizations, or dashboards that inform business decisions and improve the client-XP matching process.
- Support continuous model optimization and validation efforts.
Qualifications
- Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer Science, Statistics, or related fields.
- Proficiency in programming languages and data tools such as Python (with libraries like pandas, scikit-learn) and SQL for data manipulation.
- Strong foundation in statistics and machine learning concepts (regression, classification, clustering) and familiarity with building predictive models.
- Experience working with datasets - cleaning data, feature engineering, and using data visualization tools to present insights.
- Excellent problem-solving abilities and attention to detail, with the ability to interpret data to make logical recommendations.
Preferred Qualifications
- Familiarity with machine learning frameworks or libraries (e.g. TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models.
- Prior exposure to recommendation algorithms or matching systems through coursework or projects.
- Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake).
- Previous internship or project experience demonstrating practical data science applications.
- Understanding of human resource or matchmaking domains (e.g. matching candidates to roles or services to clients) is a plus.
Benefits
- Mentorship & Training: You will receive guidance from experienced data scientists and engineers. Expect one-on-one mentorship, regular feedback, and access to learning resources to accelerate your growth.
- Hands-On Experience: Work on real-world projects that have direct impact on Athena's services. You'll have ownership of meaningful tasks and contribute code to production-level systems, building your portfolio.
- Inclusive Culture: Experience Athena's collaborative and inclusive culture firsthand. Interns participate in team meetings, social events, and all company perks - you'll be treated as an equal team member throughout your internship.
- Path to Opportunities: A successful internship can pave the way to future roles at Athena.com. Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.