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Internship Saas Developer Jobs (NOW HIRING)

Ottimate

MBA Internship - AI Strategy & Operations

$20 - $25/hr

Prompt engineering * No-code automation tools (Zapier, Make, n8n) * Power BI, Tableau, or Looker ... Experience in fintech, payments, or SaaS Potential Projects Depending on organizational priorities ...

Moon

Software Engineering Intern, Frontend

Glendale, CA · On-site

$25 - $35/hr

About Moon An ambitious and independent stealth SaaS company incubated by Home Organizers, a market ... This is not a project-based internship with a demo at the end. You'll own a real feature module ...

Swoon Staffing

Product Owner Intern

Grand Rapids, MI · On-site

$16/hr

... Engineering, Biomedical, Product, or related) * Interest in medical devices, SaaS, or digital health * Basic knowledge of Agile is a plus * Strong communication & detail-oriented Why This Internship?

Docugami

Software Engineering Intern

Kirkland, WA

During your internship, you will have the opportunity to be part of a growing engineering team ... developing SaaS applications, and have a desire to work with world-class engineers and AI ...

Docugami

Software Engineering Intern

Kirkland, WA · On-site

During your internship, you will have the opportunity to be part of a growing engineering team ... developing SaaS applications, and have a desire to work with world-class engineers and AI ...

QGenda

Compliance Analyst

Atlanta, GA · Hybrid

... Security, Product, Engineering, Sales and Customer Experience teams * Serve as the primary ... SaaS, healthcare technology, compliance or cybersecurity concepts preferred * Internship or ...

Updater

IT Engineer

San Francisco, CA

Execute routine SaaS administration tasks -- provisioning, de-provisioning, license management ... internships, MSP, or college IT roles count). * Working familiarity with end-user support across ...

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How much do internship saas developer jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for internship saas developer in the United States is $22.89, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.28 per hour, depending on experience, location, and employer.

What is the difference between Internship Saas Developer vs Junior Saas Developer?

AspectInternship Saas DeveloperJunior Saas Developer
Required CredentialsTypically pursuing or recently completed relevant degree or courseworkEntry-level professional with some experience or internship background
Work EnvironmentInternship programs, learning-focused, supervised by senior staffFull-time or part-time employment, collaborative team setting
Employer & Industry UsageInternship roles in SaaS companies, tech startups, or software firmsPermanent or contract roles in SaaS development teams
Comparison Search IntentUnderstanding entry-level opportunities and learning pathsSeeking to understand early career roles and responsibilities

In summary, an Internship Saas Developer is a temporary, learning-focused position for students or recent graduates, while a Junior Saas Developer is an entry-level professional role with more responsibilities and a focus on contributing to ongoing projects within a SaaS company.

What types of projects and technologies can I expect to work on as an Internship SaaS Developer?

As an Internship SaaS Developer, you'll typically work on cloud-based applications using technologies such as JavaScript, Python, or Java, and frameworks like React or Node.js. You may assist with developing new features, fixing bugs, and optimizing performance for web applications that serve multiple customers over the internet. Expect to collaborate closely with experienced developers, QA testers, and product managers in an agile team environment. This hands-on experience will help you gain a deeper understanding of software development best practices, version control, and cloud deployment workflows.

What is an Internship SaaS Developer?

An Internship SaaS Developer is a student or recent graduate who works on developing, testing, and maintaining Software as a Service (SaaS) applications during an internship. Their responsibilities typically include collaborating with senior developers, writing code, fixing bugs, and learning about cloud-based software delivery. This role offers hands-on experience with modern software development practices, cloud platforms, and agile methodologies. Interns gain valuable skills in programming languages and frameworks relevant to SaaS solutions while contributing to real-world projects.

What are the key skills and qualifications needed to thrive as an Internship SaaS Developer, and why are they important?

To thrive as an Internship SaaS Developer, you need a solid understanding of programming languages (such as JavaScript, Python, or Java), basic software engineering principles, and a relevant educational background in computer science or a related field. Familiarity with cloud platforms (e.g., AWS, Azure), version control systems like Git, and SaaS-specific frameworks or APIs is often expected. Strong problem-solving abilities, effective communication, and a willingness to learn new technologies help interns stand out. These skills are crucial for contributing to team projects, adapting to evolving technologies, and delivering high-quality software in a collaborative SaaS environment.
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Internship Saas Developer jobs near you
Modeling and Visualization Engineer Co-Op

Modeling and Visualization Engineer Co-Op

Campbell Soup Company

Hanover, PA • On-site

Full-time

Posted 11 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 Snowflaketechnologies.
  • 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 (AZ-900) 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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