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Aws Internship Remote Jobs in Decatur, GA (NOW HIRING)

Sequoia Connect

Junior Data Engineer

Atlanta, GA · Remote

Support the development of workflows utilizing AWS Glue, Lambda, and Step Functions. * Work ... Internship, project, or academic experience specifically in cloud computing, analytics, or data ...

New

Sequoia Connect

Junior Data Engineer

Atlanta, GA · On-site +1

Support the development of workflows utilizing AWS Glue, Lambda, and Step Functions. * Work ... Internship, project, or academic experience specifically in cloud computing, analytics, or data ...

New

All JobsAws JobsAws Internship Remote JobsAws Internship Remote Jobs in Decatur, GA

Aws Internship Remote information

See Decatur, GA salary details

$8

$16

$23

How much do aws internship remote jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for aws internship remote in Decatur, GA is $16.90, according to ZipRecruiter salary data. Most workers in this role earn between $14.09 and $18.80 per hour, depending on experience, location, and employer.

What is the difference between Aws Internship Remote vs Cloud Engineer Intern?

AspectAws Internship RemoteCloud Engineer Intern
Required CredentialsBasic knowledge of AWS, certifications like AWS Certified Cloud PractitionerKnowledge of cloud platforms, certifications like AWS or Azure fundamentals
Work EnvironmentRemote, collaborative online teams, cloud-focused projectsRemote or on-site, technical environment, hands-on cloud infrastructure work
Industry UsagePrimarily in cloud service providers, tech companiesTech companies, startups, enterprises adopting cloud solutions

The Aws Internship Remote and Cloud Engineer Intern roles both focus on cloud technologies, but the internship is more entry-level with a focus on learning AWS basics remotely, while the Cloud Engineer Intern may involve more technical, hands-on work with cloud infrastructure. Both roles are suitable for those starting a career in cloud computing and often share similar credentials and work environments.

What are the key skills and qualifications needed to thrive as an AWS remote intern, and why are they important?

To succeed as an AWS Remote Intern, you typically need foundational knowledge in cloud computing, programming (such as Python or Java), and a current pursuit of a degree in computer science or a related field. Familiarity with AWS services, basic command of cloud management tools, and, in some cases, AWS Certified Cloud Practitioner certification are valuable. Effective communication, self-motivation, and adaptability help interns stand out in remote and collaborative environments. These skills ensure interns can contribute meaningfully to projects, learn quickly, and adapt to the fast-evolving cloud technology landscape.

What is an AWS internship remote?

An AWS internship remote is a temporary, entry-level position offered by Amazon Web Services (AWS) or its partner companies that allows interns to work remotely, usually from home. These internships are designed for students or recent graduates interested in cloud computing, software development, or related fields. Participants gain practical experience working on real AWS projects, often collaborating with teams online. Remote internships provide flexibility and exposure to Amazon's cloud technologies without needing to relocate. Interns typically receive mentorship, training, and the opportunity to network with professionals in the industry.

What types of projects can I expect to work on during a remote AWS internship?

As a remote AWS intern, you will typically work on cloud-based projects such as developing and deploying scalable applications, automating infrastructure using AWS services, or supporting migration initiatives to the AWS cloud. Projects often involve collaboration with software engineers, DevOps teams, and project managers, which helps interns gain hands-on experience with real-world cloud solutions. You may also participate in code reviews, attend virtual team meetings, and contribute to documentation, all of which are valuable for building both technical and remote teamwork skills.
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Aws Internship Remote jobs near you

Junior Data Engineer

Sequoia Connect

Atlanta, GA • Remote

Full-time

Posted 2 days ago

New

Job description

At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.

We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.

This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.

We are currently searching for a Junior Data Engineer:

The Challenge (Responsibilities)

  • Assist in building and maintaining ETL pipelines using Python and PySpark.
  • Support the development of workflows utilizing AWS Glue, Lambda, and Step Functions.
  • Work extensively with cloud data storage platforms, including S3, Redshift, RDS, and Oracle.
  • Write complex SQL queries for data extraction, transformation, validation, and reporting.
  • Help implement basic monitoring, logging, and error handling for data pipelines.
  • Support the ingestion and processing of data from APIs and JSON payloads.
  • Collaborate with software engineers, data analysts, and business stakeholders to understand requirements.
  • Contribute to code management, technical documentation, and deployment support activities.

Your Profile (Requirements)

  • Degree holders for the visa application process.
  • 0 to 4 years of software development or data engineering experience across relevant cloud platforms.
  • Good knowledge of Python and SQL.
  • Solid understanding of AWS services, specifically S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
  • Strong grasp of ETL concepts and data processing fundamentals.
  • Familiarity with GitLab, Terraform, and the Software Development Life Cycle (SDLC) from development to production.
  • Familiarity with PySpark, AWS managed services, data engineering best practices, and code optimization.
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired

  • Exposure to PySpark, Athena, CloudWatch, SNS, and SQS.
  • Internship, project, or academic experience specifically in cloud computing, analytics, or data engineering.
  • Familiarity with cloud-native foundations or AI coding assistants (e.g., GitHub Copilot).

Languages

  • Advanced Oral English: For seamless collaboration with global teams.
  • Advanced Spanish.

Special Notes

  • Our Client is seeking candidates focused on foundational skill-building in a dynamic cloud environment.

Work Arrangement

We value flexibility to support your lifestyle. This position is available as:

  • Remote


If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/


Keywords:
Phyton, SQL, PySpark, AWS Glue, ETL
Requirements:
  • 0-4 years of software development experience across the appropriate platform.
  • Good knowledge on Python and SQL.
  • Good understanding to AWS services such as S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
  • Good understanding of ETL concepts and data processing fundamentals.
  • Familiarity with GitLab/Terraform and SDLC from development to production.
  • Familiarity to PySpark, AWS managed services, data engineering best practices, and code optimization.
  • Good analytical, problem-solving, and communication skills.