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Internship Google Cloud Engineer Jobs in Rochester, NY

... Services, IT Infrastructure Engineering & Architecture, Application Development, Hardware ... Experience administering cloud platforms including Microsoft Azure, AWS, or Google Cloud. Strong ...

Cloud platforms (AWS, Azure, Google Cloud Platform) and their key technologies, including ... Developing and re-engineering IT processes, capabilities, and controls in a proven and efficient ...

Data Architect

Rochester, NY · On-site

$63.25 - $81.50/hr

Provide technical leadership and architectural guidance to engineering, analytics, and application ... Experience with cloud platforms such as AWS, Microsoft Azure, and/or Google Cloud Platform

... and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi ... Internship or academic experience in semiconductor testing or lab environment * Basic knowledge of ...

... and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi ... Internship, research, or project experience in the semiconductor or electronics industry.

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus ...

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus ...

... Engineering, Mathematics/Statistics, Operations/Supply Chain - Demonstrating proficiency in Agile Methodology and Business Architecture - Utilizing cloud platforms like AWS, Google Cloud, and Azure ...

Industrial Engineer

Hopewell, NY · On-site

$65.80 - $102K/hr

Experience with Microsoft Excel and/or Google Sheets * Knowledge of Semiconductor Manufacturing ... and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi ...

Showing results 21-40

Internship Google Cloud Engineer information

See Rochester, NY salary details

$10

$19

$29

How much do internship google cloud engineer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for internship google cloud engineer in Rochester, NY is $19.06, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $20.62 per hour, depending on experience, location, and employer.

What types of projects and responsibilities can I expect as an internship Google Cloud Engineer?

As a Google Cloud Engineer intern, you can expect to work on real-world projects that involve deploying, managing, and optimizing cloud-based solutions using Google Cloud technologies. Typical responsibilities may include collaborating with cross-functional teams to design and implement cloud infrastructure, automating tasks with scripting languages, and troubleshooting cloud services. You'll gain hands-on experience with tools like Kubernetes, BigQuery, and Compute Engine while receiving mentorship from experienced engineers. This role provides valuable exposure to cloud best practices and opportunities to contribute to impactful projects that support both internal teams and external clients.

What is the difference between Internship Google Cloud Engineer vs Cloud Support Associate?

AspectInternship Google Cloud EngineerCloud Support Associate
Required CredentialsBasic cloud certifications, relevant courseworkTechnical certifications, customer support experience
Work EnvironmentHands-on cloud project work, team collaborationCustomer interaction, troubleshooting support
Employer & Industry UsageTech companies, cloud service providersCloud service providers, IT support firms
Search & Comparison IntentEntry-level cloud engineering roles, internshipsSupport roles in cloud services, entry-level support jobs

The Internship Google Cloud Engineer typically involves hands-on work with cloud projects and gaining practical experience in cloud engineering. In contrast, a Cloud Support Associate focuses on customer support, troubleshooting, and maintaining cloud services. Both roles are entry-level but serve different functions within the cloud industry, making them common points of comparison for those starting their cloud careers.

What does an internship Google Cloud Engineer do?

An Internship Google Cloud Engineer works with Google Cloud technologies to help design, implement, and maintain cloud-based solutions. Interns often collaborate with experienced engineers to learn how to build scalable applications, automate infrastructure, and ensure the security and reliability of cloud systems. The role typically includes hands-on experience with Google Cloud Platform (GCP) services, such as Compute Engine, Cloud Storage, and Kubernetes. Interns may also assist with troubleshooting, performance optimization, and documentation to support cloud projects. The internship provides valuable exposure to real-world cloud engineering challenges and best practices.

What are the key skills and qualifications needed to thrive as an internship Google Cloud Engineer, and why are they important?

To thrive as an Internship Google Cloud Engineer, you need a foundational understanding of computer science principles, programming skills (such as Python or Java), and familiarity with cloud computing concepts, often supported by coursework or relevant certifications. Experience with Google Cloud Platform (GCP) services, tools like Kubernetes, and basic command-line proficiency is typically expected. Strong problem-solving skills, eagerness to learn, and effective teamwork make candidates stand out in this position. These abilities are crucial for adapting to dynamic cloud technologies, contributing to collaborative projects, and delivering innovative cloud solutions.
What cities near Rochester, NY are hiring for Internship Google Cloud Engineer jobs? Cities near Rochester, NY with the most Internship Google Cloud Engineer job openings:
Infographic showing various Internship Google Cloud Engineer job openings in Rochester, NY as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $39,639 per year, or $19.1 per hour.

Research Data Engineer I

University of Rochester

Rochester, NY • On-site

$27.16 - $38.03/hr

Per diem

Re-posted 13 days ago


University Of Rochester rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

127th of 618 rated colleges and universities


Job description

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.
Job Location (Full Address):
220 Hutchison Rd, Rochester, New York, United States of America, 14620
Opening:
Worker Subtype:
Regular
Time Type:
Time as Reported / Per Diem
Scheduled Weekly Hours:
As Scheduled
Department:
400295 Cancer Center Admin M&D
Work Shift:
UR - Day (United States of America)
Range:
UR URG 109 H
Compensation Range:
$27.16 - $38.03
The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.
Responsibilities:
With moderate supervision and guidance, supports the implementation and maintenance of analytical and data science-based software and data pipelines, enabling scientific workflows. Provides focused support in enhancing the data collection frameworks that integrate structured and unstructured data from multiple sources and systems to enable the used of data in specific research study teams. Maintains and supports the development of infrastructure systems (e.g., data warehouses, data lakes, etc.), including data access APIs. Receives guidance from and acts in support of a team aimed at providing robust, scalable software solutions to the research enterprise.
JOB DUTIES AND RESPONSIBILITIES:
  • Maintains and modifies Extract Transform and Load (ETL) data pipelines and overall data architecture to accommodate a growing amount of data from a variety of large research data sources.
  • Works with team members to support the conversion of business and technical requirements into professional software solutions. Ensures timely completion of tasks while managing multiple assignments, project timelines and business user expectations.
  • Supports the implementation of custom, research project-specific data workflow solutions for data collection, management, reporting and analytics. Contributes to the scientific research.
  • Adheres to defined application development life-cycle practices, including but not limited to, requirements gathering, writing test plans, source code management, peer code review and quality assurance through unit/system/user acceptance testing.
  • Participates in specification, implementation and execution of testing procedures to ensure quality of deliverables, system and data workflow reliability.
  • Produces and maintains comprehensive technical documentation for all systems under the Engineer's responsibilities.
  • Keeps abreast of current application developments through continuing education, professional reading, online forums, conferences, workshops and professional groups.
  • Other duties as assigned.

QUALIFICATIONS:
  • Bachelor's degree in Data Science, Biomedical Science, Computer Science, Mathematics, Statistics or similar discipline required.
  • 1 year of relevant experience required including experience in technology-intensive environments and programming experience in SQL or equivalent combination of education and experience.
  • Programming experience, ideally in Java and Python and/or R; Experience with laboratory data management systems (e.g. biospecimen software, electronic laboratory notebooks, LabKey Server, REDCap);
  • Experience with Linux environments, Docker, and cloud technologies (e.g. AWS, Microsoft Azure, Google Cloud Platform).
  • Familiarity with data analytics and statistical methods;
  • Expertise of software engineering best practices such as version control and software release management;
  • Strong analytical and problem-solving skills;
  • Strong organizational skills;
  • Ability to work with others in a matrix management environment;
  • Excellent communication skills for describing progress and challenges to stakeholders;
  • Attention to detail, patience and a positive, customer-centric attitude;
  • Strong technical presentation skills;
  • Demonstrated ability to develop proficiency with unfamiliar toolsets.
  • Familiarity with genomics, metagenomics, flow cytometry or imaging files, metadata, and data standards preferred.

Schedule
8 AM-5 PM
The University of Rochester is committed to fostering, cultivating, and preserving a culture of equity, diversity, and inclusion to advance the University's mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion/creed, sex, sexual orientation, citizenship status, or any other status protected by law. This commitment extends to the administration of our policies, admissions, employment, access, and recruitment of candidates from underrepresented populations, veterans, and persons with disabilities consistent with these values and government contractor Affirmative Action obligations.
The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University's Mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.

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