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Data Engineer Internship Jobs in Oregon (NOW HIRING)

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

New

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

New

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

New

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

New

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Data Engineer Internship information

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How much do data engineer internship jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data engineer internship in Oregon is $26.87, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $30.48 per hour, depending on experience, location, and employer.

What is a data engineer internship?

A Data Engineer Internship is a temporary, entry-level role where interns gain hands-on experience in data infrastructure, ETL pipelines, and database management. Interns typically work with large datasets, assist in building data models, and collaborate with data scientists and analysts to ensure efficient data processing. They learn tools like SQL, Python, and cloud platforms while improving data quality and automation processes. This role provides valuable industry experience and prepares interns for full-time data engineering positions.

What types of projects or tasks can I expect to work on during a data engineer internship?

As a Data Engineer Intern, you can expect to assist with building and maintaining data pipelines, cleaning and transforming datasets, and supporting the integration of new data sources. You may also help optimize database performance, troubleshoot data quality issues, and collaborate with data scientists or analysts to ensure data accessibility. Interns often work on real-world projects that offer hands-on experience with tools and technologies common in the industry. This exposure not only builds your technical skills but also provides valuable insights into how data engineering supports business decision-making and analytics.

What are the key skills and qualifications needed to thrive in a data engineer internship, and why are they important?

To thrive as a Data Engineer Intern, you need a solid background in programming (especially Python or Java), SQL, and basic data management concepts, often gained through coursework in computer science, data science, or related fields. Experience with tools like SQL databases, ETL pipelines, and cloud platforms (such as AWS or Azure), as well as familiarity with big data frameworks like Hadoop or Spark, is highly valuable. Strong analytical thinking, attention to detail, and the ability to communicate technical information clearly help interns collaborate effectively within diverse teams. These skills are vital for supporting data infrastructure development, ensuring data quality, and contributing to impactful data-driven solutions.

What does a data engineer intern do?

A data engineer intern assists in designing, building, and maintaining data pipelines and infrastructure to support data analysis and storage. They often work with tools like SQL, Python, and cloud platforms, gaining experience in data processing, database management, and data warehousing under supervision.

What are the most commonly searched types of Data Engineer jobs in Oregon?

The most popular types of Data Engineer jobs in Oregon are:

What are popular job titles related to Data Engineer Internship jobs in Oregon?

For Data Engineer Internship jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Data Engineer Internship jobs in Oregon look for?

The top searched job categories for Data Engineer Internship jobs in Oregon are:

What cities in Oregon are hiring for Data Engineer Internship jobs?

Cities in Oregon with the most Data Engineer Internship job openings:

Data Engineer Internship jobs near you
Infographic showing various Data Engineer Internship job openings in Oregon as of August 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $55,895 per year, or $26.9 per hour.

Data and Analytics Engineer III

Praxis Precision Medicines, Inc.

OR • On-site, Remote

$114K - $137K/yr

Full-time

Posted 2 days ago

New

Job description

Location:  This position may be performed remotely, but requires the flexibility and willingness to travel as needed.

The Opportunity

We're looking for a Data and Analytics Engineer III who brings both technical excellence and systems thinking to help us scale our data infrastructure and insights delivery. You'll lead the development of robust pipelines, intuitive dashboards, and analytics tooling that directly supports our clinical, research, and operational priorities. You'll act as a thought partner to our data science and business teams, help elevate our engineering standards, and leverage emerging technologies including the use of AI to improve efficiency and impact. 

This role is ideal for someone who thrives in a fast-moving, low-ego environment where data makes a difference for patients. 

Primary Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines that support cross-functional data needs  
  • Build, deploy, and optimize analytical dashboards and other reporting tools to support strategic decision-making  
  • Write well-structured, testable code in Python, R, and SQL to support analytics workflows  
  • Lead the development and best practices of version control, documentation, and coding standards  
  • Partner with data scientists to bring analytics products from prototype to production  
  • Identify and integrate AI-driven tools to enhance data processing and reporting capabilities  
  • Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement  

Qualifications and Key Success Factors

  • Bachelor's degree required; Master's degree preferred in a technical field such as Computer Science, Engineering, Data Science, or related disciplines  
  • 7+ years post-internship hands-on experience in a data engineering, analytics engineering, or data science role in the pharmaceutical industry  
  • Proficient in Python, R, SQL, with experience operationalizing analytics at scale  
  • Strong experience with Git and collaborative development workflows  
  • Experience designing data architecture and maintaining complex pipelines  
  • Familiarity with Databricks and other cloud platforms (e.g., Snowflake, AWS, Azure)  
  • Experience in applying AI to streamline or augment data workflows  
  • Excellent communication skills with a demonstrated ability to work across technical and non-technical teams  
  • Experience working with patient-level data or in regulated environments (e.g., HIPAA, GxP, FDA) preferred  
  • The physical and mental requirements of our roles include but are not limited to regular use of a computer, devices or other office equipment, clear communication, and occasional movement. You'll need comfort with screen work, basic hand coordination, and focus. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions. 

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