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Internship Remote Energy Engineer Jobs in Georgia

Internship, project, or academic experience specifically in cloud computing, analytics, or data ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Internship, project, or academic experience specifically in cloud computing, analytics, or data ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Continuous Improvement Engineer

Alpharetta, GA ยท Remote

$77K - $103K/yr

Continuous Improvement Engineer - Be the Catalyst for Change Are you a high-energy change-maker ... Remote (up to 50% travel required) What You'll Do: * Be a Culture Builder: Champion continuous ...

Continuous Improvement Engineer

Alpharetta, GA ยท Remote

$77K - $103K/yr

Continuous Improvement Engineer - Be the Catalyst for Change Are you a high-energy change-maker ... Remote (up to 50% travel required) What You'll Do: * Be a Culture Builder: Champion continuous ...

... energy, mining, and utilities. Collaborate with clients, project managers, and other stakeholders ... Most work is currently remote, but engineers may need to travel up to 25% in the future for ...

Water Resources Engineer

Kennesaw, GA ยท Remote

$73K - $99K/yr

This role has the opportunity to be remote from any location within the US. Key Responsibilities ... energy and the built environment, helping to unlock solutions to some of the world's most critical ...

This is a remote internship position that pays hourly. Preferred skills for this role are: * A commitment to educational equity and a love of pop culture * Demonstration of creativity and strong ...

Showing results 41-60

Internship Remote Energy Engineer information

What is a remote energy engineer internship?

A remote energy engineer internship is a temporary, learning-focused position where students or recent graduates assist professional energy engineers from a remote location, typically working from home. Interns may help analyze energy systems, conduct research, perform data analysis, and support sustainability projects for organizations. The role provides valuable hands-on experience in the energy sector while offering the flexibility of remote work. Interns often gain insights into renewable energy, energy efficiency, and the latest industry technologies.

What types of projects can a remote energy engineering intern expect to work on, and how are tasks typically assigned and managed?

As a remote energy engineering intern, you'll likely work on a variety of projects ranging from energy audits and data analysis to supporting the design of energy-efficient systems. Tasks are usually assigned through project management platforms and regular virtual meetings with your supervisor or team. You'll collaborate with engineers, analysts, and occasionally clients to gather data, run simulations, and prepare reports. Clear communication and proactive engagement are important, as remote work relies heavily on digital collaboration tools and self-motivation.

What are the key skills and qualifications needed to thrive as an internship remote energy engineer, and why are they important?

To thrive as an Internship Remote Energy Engineer, you generally need a background in engineering (mechanical, electrical, or energy), strong analytical skills, and coursework or experience related to energy systems. Familiarity with energy modeling software (like EnergyPlus or HOMER), data analysis tools, and possibly certifications in energy auditing or sustainability are often expected. Excellent communication, problem-solving, and self-motivation are vital soft skills for collaborating remotely and managing tasks independently. These abilities ensure accurate analysis, effective teamwork, and successful project outcomes in the dynamic energy sector.

What is the difference between Internship Remote Energy Engineer vs Remote Energy Analyst?

AspectInternship Remote Energy EngineerRemote Energy Analyst
Required CredentialsEnrolled in engineering or related degree, some technical knowledgeDegree in energy, environmental science, or related field, analytical skills
Work EnvironmentRemote internship, project-based tasks, collaboration with engineering teamsRemote, data analysis, reporting, and research tasks
Employer & Industry UsageEnergy companies, engineering firms, renewable energy startupsConsulting firms, energy companies, research organizations
Search & Comparison IntentLearning about entry-level engineering roles in energy sectorAnalyzing energy data, market trends, or policy impacts

The main difference is that an Internship Remote Energy Engineer focuses on gaining engineering experience through project-based tasks, while a Remote Energy Analyst emphasizes data analysis and research within the energy industry. Both roles are remote and serve different career development purposes within the energy sector.

What are the most commonly searched types of Remote Energy Engineer jobs in Georgia?

The most popular types of Remote Energy Engineer jobs in Georgia are:

What are popular job titles related to Internship Remote Energy Engineer jobs in Georgia?

For Internship Remote Energy Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Internship Remote Energy Engineer jobs in Georgia look for?

The top searched job categories for Internship Remote Energy Engineer jobs in Georgia are:

What cities in Georgia are hiring for Internship Remote Energy Engineer jobs?

Cities in Georgia with the most Internship Remote Energy Engineer job openings:

Infographic showing various Internship Remote Energy Engineer job openings in Georgia as of June 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

Junior Data Engineer

Sequoia Connect

Atlanta, GA โ€ข On-site, Remote

Full-time

Posted 7 days ago


Job description

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/
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.