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Summer Computer Engineering Student Jobs in Westminster, MD

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Summer Computer Engineering Student information

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$10

$18

$28

How much do summer computer engineering student jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for summer computer engineering student in Westminster, MD is $18.56, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $20.10 per hour, depending on experience, location, and employer.

What does a summer computer engineering student do?

A Summer Computer Engineering Student typically participates in internships, research projects, or training programs during the summer months to gain hands-on experience in computer engineering. Their responsibilities may include assisting with software or hardware development, testing systems, troubleshooting technical issues, and collaborating with experienced engineers. These positions provide valuable practical knowledge, networking opportunities, and a chance to apply classroom learning to real-world projects. The experience gained can help students build their resumes and clarify their specific interests within the field.

What are the key skills and qualifications needed to thrive as a summer computer engineering student?

To thrive as a Summer Computer Engineering Student, you need a foundational understanding of programming languages, digital logic, and basic hardware concepts, typically supported by coursework in computer engineering or a related field. Familiarity with tools like MATLAB, circuit design software, and version control systems such as Git is often expected. Strong problem-solving abilities, effective communication, and adaptability help students excel in project-based, team-oriented environments. These skills and qualities are important because they enable students to contribute meaningfully to projects, learn rapidly, and succeed in dynamic, technical settings.

What types of projects can a summer computer engineering student expect to work on, and how are these projects typically structured?

As a Summer Computer Engineering Student, you can expect to work on a range of hands-on projects, such as developing software prototypes, assisting with hardware testing, or supporting ongoing research and development efforts. These projects are often team-based, providing opportunities to collaborate with full-time engineers and other interns. You'll likely be assigned a mentor or supervisor who will guide you through project milestones and offer feedback. The structure is typically designed to expose you to real-world engineering challenges while allowing you to contribute meaningfully within a limited timeframe.

What is the difference between Summer Computer Engineering Student vs Summer Software Developer?

AspectSummer Computer Engineering StudentSummer Software Developer
CredentialsEnrolled in Computer Engineering programTypically pursuing Computer Science or Software Engineering degree
Work EnvironmentInternship in engineering labs, tech companies, or research centersInternship in software development teams, tech firms, or startups
Employer UsageUniversities, tech companies, research institutionsSoftware companies, IT firms, tech startups
Common Search IntentLearning about engineering internships, program requirementsFinding software development internship opportunities

The Summer Computer Engineering Student role focuses on gaining hands-on experience in hardware, embedded systems, and engineering projects, often within research or technical environments. In contrast, a Summer Software Developer typically works on coding, software design, and application development. Both roles involve internships in tech settings but differ in technical focus and skill application.

What are popular job titles related to Summer Computer Engineering Student jobs in Westminster, MD?

For Summer Computer Engineering Student jobs in Westminster, MD, the most frequently searched job titles are:

What job categories do people searching Summer Computer Engineering Student jobs in Westminster, MD look for?

The top searched job categories for Summer Computer Engineering Student jobs in Westminster, MD are:

What cities near Westminster, MD are hiring for Summer Computer Engineering Student jobs?

Cities near Westminster, MD with the most Summer Computer Engineering Student job openings:

Summer Computer Engineering Student jobs near you
Infographic showing various Summer Computer Engineering Student job openings in Westminster, MD as of August 2026, with employment types broken down into 57% Full Time, and 43% Temporary. Highlights an 100% In-person job distribution, with an average salary of $38,606 per year, or $18.6 per hour.

Modeling and Visualization Engineer Co-Op

Campbell's

Hanover, PA • On-site

Full-time

Re-posted 8 days ago

Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover.Swanson, and V8.

Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.

BI Modeling and Visualization Engineer (mostly Power BI)

We are seeking a motivated and detail-oriented Modeling and Visualization Engineer to join our team. This co-op / internship offers hands-on experience reporting from a very involved data warehouse during a transition from Snowflake to Databricks. You will have the opportunity to learn and work with cutting-edge technologies within our modern Databricks environment. If you are passionate about the future of BI reporting and eager to build "actionable metrics" in reporting, we want to hear from you!

Key Responsibilities

  • Model Performance and Tuning: Determine where DirectQuery or Import mode is best in each table ingestion in Power Query. Be able to view and improve SQL generated for Databricks to run using Power Query steps in Power BI Desktop.
  • Collaborate with Agile Teams: Work with cross-functional teams to build out new enterprise reporting (from Databricks) that aligns with trusted existing reporting (from Snowflake) and participate in Agile ceremonies.
  • Explore External Tools: Research and test new or more efficient options the improve thru put of reporting development and valication.
  • Document AI Architectures: Help document model schemas, API integrations, and AI governance standards.

Learning & Development Opportunities

  • Hands-on training in Power BI, Databricks and Snowflake technologies.
  • Mentorship from senior Data Engineers and IT Business Analysts working on enterprise-scale deployments.
  • Practical experience building on Cloud/SaaS reporting infrastructure (e.g. Power BI Service, Azure, Databricks, Snowflake).
  • Platform Support & Administration:
    Assist in day-to-day administration of analytics and AI platforms such as Databricks, Snowflake, Power BI Service, and other SaaS solutions.
  • Monitoring & Troubleshooting:
    Learn how to monitor platform health, data refreshes, workloads, and integrations; help investigate and troubleshoot failures or performance issues.
  • Incident & Problem Resolution:
    Support issue resolution by partnering with senior engineers to perform basic root-cause analysis and document fixes and learnings.
  • Access & User Management:
    Help manage users, roles, permissions, and access requests while following security and governance standards.
  • Cloud & SaaS Exposure:
    Gain practical exposure to cloud architecture concepts (primarily Microsoft Azure) and understand how SaaS platforms integrate with cloud services.
  • Documentation & Runbooks:
    Assist in creating and maintaining support documentation, operational guides, and standard operating procedures.
  • Collaboration & Learning:
    Work closely with BI, AI, and Platform teams in an Agile environment and participate in team meetings and knowledge-sharing sessions.

What You Will Learn

  • Fundamentals of cloud and SaaS platform administration
  • How enterprise analytics platforms are operated and supported
  • Troubleshooting and problem-solving techniques for real-world production systems
  • Basic monitoring, access management, and platform governance concepts
  • How analytics, BI, and AI workloads run on modern cloud platforms

Qualifications

  • Current graduate student in Computer Science, Artificial Intelligence, Mathematics, or a related field.
  • Foundational programming skills in writing moderately complex SQL.
  • Familiarity with AI concepts through coursework or personal projects.
  • Excellent problem-solving skills and a high degree of technical curiosity.
  • Eager to learn in a rapidly evolving field and able to adapt to new tools quickly.

Requirements vs. Optional:

  • Need: Power BI experience in creating Semantic Models that reference a data warehouse and then validating those to the source or spot checking against existing report (Power BI and MicroStrategy / Strategy are widely used).
  • Need: Ability to write and understand SQL.
  • Optional: Ability to use Excel for validating results from reporting.
  • Optional: Any advanced methods that use AI Agentic... options for transitioning logic in Power BI Semantic Models from one database (e.g. Snowflake) to another (Databricks)
  • Currently pursuing an undergraduate or graduate degree in Computer Science, Information Systems, IT, Engineering, or a related field.
  • Strong interest in cloud technologies, SaaS platforms, and system operations.
  • Willingness to learn, troubleshoot issues, and dig into how platforms work.
  • Analytical mindset with good problem-solving skills.
  • Strong communication skills and ability to document learnings clearly.
  • Self-motivated, curious, and comfortable working in a team-based environment.

Helpful / Preferred Experience

  • Coursework or hands-on exposure to Microsoft Azure.
  • Azure Fundamentals (AZ900) course completion or certification is helpful (not required).
  • Familiarity with cloud computing concepts (compute, storage, networking, identity).
  • Basic knowledge of SQL, scripting, or data concepts.
  • Exposure to analytics or BI tools (Power BI, Tableau, Databricks, Snowflake) is a plus but not required.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

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