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Internship Data Engineer Intern Jobs in Oregon (NOW HIRING)

$32 - $40/hr

Overview The AI Engineer Intern focuses on researching and developing advanced healthcare ... data agents, setting up guardrails and governance. We are currently looking for interns who can ...

$32 - $40/hr

We are currently looking for interns who can start in the Summer or Fall of 2026. Responsibilities ... Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data ...

Are you a problem solver looking for a hands-on internship position with a market-leading company ... The intern will gain hands-on experience through data collection and creating innovative solutions ...

... Chemistry, Data Science, Math, Statistics, Computer Engineering, or Computer Science Preferred ... Previous internship and/or long-term project * Fab skills This position is not eligible for Intel ...

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... Chemistry, Data Science, Math, Statistics, Computer Engineering, or Computer Science Preferred ... Previous internship and/or long-term project * Fab skills This position is not eligible for Intel ...

New

... Chemistry, Data Science, Math, Statistics, Computer Engineering, or Computer Science Preferred ... Previous internship and/or long-term project * Fab skills This position is not eligible for Intel ...

New

... Chemistry, Data Science, Math, Statistics, Computer Engineering, or Computer Science Preferred ... Previous internship and/or long-term project * Fab skills This position is not eligible for Intel ...

New

... Chemistry, Data Science, Math, Statistics, Computer Engineering, or Computer Science Preferred ... Previous internship and/or long-term project * Fab skills This position is not eligible for Intel ...

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By submitting your interest, you'll be among the first to know when internship opportunities open ... As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing ...

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Internship Data Engineer Intern information

What are the key skills and qualifications needed to thrive as an Internship Data Engineer Intern, and why are they important?

To thrive as an Internship Data Engineer Intern, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by coursework or projects in computer science or data engineering. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data visualization software is commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate and learn quickly. These competencies ensure interns can contribute to data projects, adapt to new technologies, and support data-driven decision-making.

What does a Data Engineer Intern do?

A Data Engineer Intern assists in designing, building, and maintaining the infrastructure needed to collect, store, and analyze data. They typically work with large datasets, helping to ensure data is clean, well-organized, and accessible for analytics or business needs. Interns often collaborate with data scientists and software engineers, learning key skills such as data modeling, ETL (extract, transform, load) processes, and using tools like SQL, Python, and cloud platforms. The role provides hands-on experience in building data pipelines and understanding how data drives decision-making in organizations.

What is the difference between Internship Data Engineer Intern vs Data Engineer?

AspectInternship Data Engineer InternData Engineer
Required CredentialsEnrolled in or recent graduate of a related degree (e.g., Computer Science, Data Science)Bachelor's or higher in Computer Science, Data Engineering, or related field; often requires experience or certifications
Work EnvironmentInternship setting, supervised, part-time or full-time during studiesFull-time professional role, often in a team managing data pipelines and infrastructure
Employer & Industry UsageUsed by tech companies, startups, and organizations offering training opportunitiesUsed across industries like tech, finance, healthcare, and more for data management and analytics

The Internship Data Engineer Intern position is an entry-level, temporary role designed for students or recent graduates gaining hands-on experience. In contrast, a Data Engineer is a full-time professional responsible for building and maintaining data systems. The internship provides foundational exposure, while the Data Engineer role involves ongoing, complex data infrastructure work.

What types of projects and technologies can I expect to work with as a Data Engineer Intern?

As a Data Engineer Intern, you can expect to work on projects involving the development, testing, and maintenance of data pipelines and databases. You'll likely use technologies such as SQL, Python, and cloud platforms like AWS or Azure, depending on the company's stack. Interns often assist with data cleaning, integration, and transforming raw data into usable formats for analytics teams. Collaboration with data scientists, analysts, and senior engineers is common, providing valuable exposure to real-world workflows and teamwork in a data-driven environment.
What are popular job titles related to Internship Data Engineer Intern jobs in Oregon? For Internship Data Engineer Intern jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Internship Data Engineer Intern jobs in Oregon look for? The top searched job categories for Internship Data Engineer Intern jobs in Oregon are:
Intern - AI Engineer

$32 - $40/hr

Other

Posted 4 days ago


Cotiviti rating

8.3

Company rating: 8.3 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

42nd of 210 rated it services


Job description

Overview

The AI Engineer Intern focuses on researching and developing advanced healthcare informatics, particularly in the realm of emerging Artificial General Intelligence. It is designed to support improvements in healthcare treatment, payment, and operations. The intern will support multiple projects to set up the underlying architecture, such as context layer for data agents, setting up guardrails and governance.    

We are currently looking for interns who can start immediately, 12 week internship, and work 40 hours per week. 

Responsibilities

Technical Expertise

  • SQL fundamentals - comfortable writing queries against structured data, not just describing them

  • Exposure to LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) and at least tutorial-level familiarity with one orchestration framework (LangChain, LlamaIndex, or similar)

  • Git basics - comfortable with branching and reviewing code as part of a team workflow

  • Ability to reason about data quality, duplication, and freshness

  • Fetch and ingest data from live external sources (APIs and web sources) into a structured pipeline - handling formats, rate limits, and failures, not just calling a pre-built connector

  • Design and build the schema and storage layer your pipeline writes to, in collaboration with data engineering

  • Build and test AI components - embeddings, retrieval logic, prompts - using established patterns and tools

Communication & Collaboration

  • Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management.
  • Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects.

Leadership & Management

  • Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends.
  • Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions.
  • Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs.

External Relationships & Partnerships

  • Supports vendor evaluations and contributes to collaborations with vendors.
  • Assists as a liaison between academic institutions, professional organizations, and research groups as needed.

Other

  • Support the Academic Corporate Engagement efforts to develop research and educational talent, with a focus on enhancing health tech knowledge and skills. 
  • Complete all responsibilities and goals outlined in the internship program. 
  • Complete all special projects and other duties as assigned. 
  • Must be able to perform duties with or without reasonable accommodation. 

This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti's needs and requirements of the internship evolve.

Qualifications
  • Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science) with preference of a PhD.
  • Demonstrated interest or experience in AI, healthcare technology, or informatics research.
  • Strong foundational knowledge in generative AI model development, architectures, and vector databases.
  • Hands-on experience with working with Machine Learning and Deep Learning models. Experience with LLM/RAG models and LLM fine-tuning is a plus.
  • Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.
  • Ability to work collaboratively and communicate effectively with cross-functional teams.

Mental Requirements:

  • Communicating with others to exchange information.
  • Assessing the accuracy, neatness, and thoroughness of the work assigned.

Physical Requirements and Working Conditions:

  • Remaining in a stationary position, often standing or sitting for prolonged periods.
  • Repeating motions that may include the wrists, hands, and/or fingers.
  • Must be able to provide a dedicated, secure work area.
  • Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
  • No adverse environmental conditions are expected.

Base compensation ranges from $32.00 to $40.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. 

Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.

Date of posting: 6/18/2026

Applications are assessed on a rolling basis. We anticipate that the application window will close on 7/18/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

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Employment Type: OTHER

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