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Cloud Computing Internship Jobs in Silver Spring, MD

Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML ... distributed computing (Internship experience does not apply) * At least 4 years of experience ...

Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML ... distributed computing (Internship experience does not apply) * At least 4 years of experience ...

Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML ... distributed computing (Internship experience does not apply) * At least 4 years of experience ...

Lead Machine Learning Engineer

Mclean, VA ยท On-site +1

$103K - $136K/yr

Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML ... distributed computing (Internship experience does not apply) * At least 4 years of experience ...

Lead Machine Learning Engineer

Mclean, VA ยท On-site

$103K - $136K/yr

Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML ... distributed computing (Internship experience does not apply) * At least 4 years of experience ...

Lead Machine Learning Engineer

Mclean, VA ยท On-site +1

$103K - $136K/yr

Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML ... distributed computing (Internship experience does not apply) * At least 4 years of experience ...

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Cloud Computing Internship information

See Silver Spring, MD salary details

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How much do cloud computing internship jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for cloud computing internship in Silver Spring, MD is $16.07, according to ZipRecruiter salary data. Most workers in this role earn between $12.93 and $18.12 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Cloud Computing Internship position, and why are they important?

To thrive as a Cloud Computing Intern, a solid understanding of computer science fundamentals, familiarity with cloud architectures, and basic programming skills are essential, often demonstrated through coursework or relevant projects. Interns frequently work with platforms like AWS, Azure, or Google Cloud, and may benefit from introductory certifications such as AWS Cloud Practitioner. Strong problem-solving skills, effective communication, and a willingness to learn new technologies help interns stand out in collaborative, fast-paced environments. These abilities enable interns to adapt quickly, contribute meaningfully to technical projects, and develop valuable industry experience.

What is a Cloud Computing Internship job?

A Cloud Computing Internship is a temporary position that provides hands-on experience with cloud technologies, platforms, and services. Interns may work on projects involving cloud infrastructure, virtualization, security, automation, and DevOps. They typically use platforms like AWS, Azure, or Google Cloud to develop, test, and deploy applications. This role helps interns build technical skills, gain industry exposure, and prepare for cloud-related careers.

What types of projects or tasks can I expect to work on during a Cloud Computing Internship?

As a Cloud Computing Intern, you can expect to work on tasks such as deploying cloud-based applications, assisting with infrastructure automation, and supporting cloud migration projects. You may also help monitor and optimize cloud resources, write scripts to automate processes, or participate in troubleshooting technical issues with the cloud team. Interns are often given opportunities to collaborate with experienced engineers, gain hands-on experience with leading cloud platforms, and contribute to real-world solutions. This hands-on work helps you develop practical skills and build a strong foundation for a future career in cloud computing.

What are the most commonly searched types of Cloud Computing jobs in Silver Spring, MD? The most popular types of Cloud Computing jobs in Silver Spring, MD are:
What are popular job titles related to Cloud Computing Internship jobs in Silver Spring, MD? For Cloud Computing Internship jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Cloud Computing Internship jobs in Silver Spring, MD look for? The top searched job categories for Cloud Computing Internship jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Cloud Computing Internship jobs? Cities near Silver Spring, MD with the most Cloud Computing Internship job openings:
Applied Data Scientist Internship (DoW SkillBridge) with Security Clearance

Applied Data Scientist Internship (DoW SkillBridge) with Security Clearance

IntelliGenesis

Columbia, MD โ€ข On-site

Other

Medical, Life, Retirement, PTO

Posted 8 days ago


Job description

Applied Data Scientist Internship (DoW SkillBridge)
The DoW SkillBridge Program is an opportunity for service members too gain valuable civilian work experience through specific industry training, apprenticeships or internships during the last 180 days of military service. DoW SkillBridge connects transitioning service members with industry partners in real-world job experiences. Service members participating in DoW SkillBridge programs continue receiving their military compensation and benefits, while industry partners provide the civilian training and work experience.ย More information can be found here:ย https://skillbridge.osd.mil/index.htm Eligibility Requirements: * Meet all DoW SkillBridge qualifications set forth in DODI 1322.29
  • Served at least 180 days on active duty
  • Within 180 daysย of separation or retirement
  • Will receive an honorable discharge
  • Has taken any service TAPS/TGPS
  • Has attended or participated in an ethics brief within the last 12 months
  • Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in DoD SkillBridge Program prior to start of internship
Duration: * 90-180 days
Requirements: * Must be a U.S. Citizen
  • Active TS/SCI clearance with polygraph required
  • Must be able to report daily to Columbia, MD office
  • Minimum of sixย (6) years of experience performing data-analysis on collected information to pinpoint unique insight and intelligence opportunities within the data
  • Experience within at least two (2) of the following skill areas:ย 
  • Mathematics/Statistics
  • Computer Science
  • Scripting
  • Cloud Computing
  • Data Mining, Metadata Analysis or Machine Learning
  • Artificial Intelligence
  • Data Visualization or Data Automation.ย 
  • Data science
  • Advanced analytical algorithms
  • Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models)
  • Data management (e.g., data cleaning and transformation)
  • Data modeling and assessment
  • Artificial intelligence
  • Software engineering
  • Experience constructing and performing complex database search queriesย 
  • Experience/knowledge of computer science concepts
Desired Skills: * Ideal Candidates would be from one of the following Military Occupational Skill Communities:ย 
  • Air Force โ€“ (1N4)
  • Marine โ€“ (2611, 2629)
  • Army โ€“ (35N, 352N, 17C, 170A)
  • Navyย 
  • CTR (C18A/9147, C19A/9149)
  • CTN (H11A/9319, H12A/9318, H13A/9308, H14A/9326, H15A/9327, H16A/9328, H33A, H34A)
  • Experience or familiarity with data analytics and/or the following advanced scripting languages and tools:ย 
  • Python,
  • SQL
  • Jupyter
  • Pig
  • ELK Stack
  • Splunk
  • PowerBI
  • Jupyter Notebooks
_____________________________________________________________________________________________________ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidateโ€™s scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employeesโ€™ total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. _____________________________________________________________________________________________________ IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.ย IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Companyโ€™s policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.