ZipRecruiter

Log In

1

Database Administration Internships Jobs in Oregon

Striim, Inc.

OR · On-site

$120K - $130K/yr

Requirements * 1-3 years of professional experience or equivalent graduate research, internships ... database administration fundamentals. * Experience with cloud platforms and modern cloud data ...

Databento

Prior internship experience or 2+ years in full-time systems engineering or infrastructure roles ... Database administration (MySQL, ClickHouse, Redis). * Cloud engineering basics (AWS, GCP - compute ...

Databento

Systems Engineer

Portland, OR

Prior internship experience or 2+ years in full-time systems engineering or infrastructure roles ... Database administration (MySQL, ClickHouse, Redis). * Cloud engineering basics (AWS, GCP -- compute ...

Pacific University

Optician- Cornelius

Clackamas, OR · On-site

$18.25 - $23.50/hr

Serve as a technical resource to interns, staff optometrists, and faculty regarding optical ... Strong word processing and database management skills. Working knowledge of computers and standard ...

New

next page

Showing results 1-20

All JobsDatabase Administration Internships JobsDatabase Administration Internships Jobs in Oregon

Database Administration Internships information

Are database administration internships still in demand?

Database administration internships remain in demand as organizations continue to rely on data management and security. Interns with skills in SQL, database tools, and basic scripting are valuable for supporting database maintenance and optimization tasks in various industries.

What are the key skills and qualifications needed to thrive as a database administration intern, and why are they important?

To thrive as a Database Administration Intern, you need a foundational understanding of database concepts, SQL, and data modeling, typically gained through coursework in computer science or related fields. Familiarity with database management systems like MySQL, Oracle, or Microsoft SQL Server and exposure to tools such as phpMyAdmin or SQL Developer are often required. Attention to detail, problem-solving skills, and the ability to communicate technical concepts clearly help interns stand out. These competencies are crucial for supporting database operations, ensuring data integrity, and contributing effectively to IT teams.

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

As a Database Administration Intern, you can expect to participate in a variety of hands-on tasks, such as assisting with database installation and configuration, monitoring system performance, running backup and recovery procedures, and helping optimize queries for efficiency. You may also support senior DBAs with troubleshooting issues and documenting database processes. Many internships provide opportunities to work closely with development and IT teams, allowing you to see how database management fits into larger projects and gain exposure to industry-standard tools and best practices.

What does a database administration internship do?

A database administration internship involves assisting with the management, maintenance, and optimization of databases. Interns typically work with database management systems like SQL Server or Oracle, perform data backups, monitor performance, and support security measures under supervision. The role provides hands-on experience in database operations and troubleshooting, often requiring knowledge of SQL and basic scripting.

What is a database administration internship?

Database Administration Internships are temporary, hands-on training positions where students or recent graduates gain practical experience in managing and maintaining databases. Interns typically assist with tasks such as data entry, backup and recovery, performance monitoring, and troubleshooting under the supervision of experienced database administrators. These internships help individuals develop technical skills, understand real-world database environments, and prepare for future careers in database management or IT.

What is the difference between Database Administration Internships vs Database Analyst Internships?

AspectDatabase Administration InternshipsDatabase Analyst Internships
Required CredentialsBasic SQL knowledge, relevant coursework, or certificationsSQL skills, data analysis coursework, or certifications
Work EnvironmentIT departments, data centers, or tech companiesData analysis teams, business intelligence units, or tech firms
Employer & Industry UsageOrganizations managing large databases, IT firmsCompanies analyzing data for insights, consulting firms
Common Search & Comparison IntentUnderstanding internship roles in database managementExploring data analysis internship opportunities

While both internships involve working with data, Database Administration Internships focus on managing, maintaining, and securing databases, whereas Database Analyst Internships emphasize analyzing data to generate insights. Candidates should consider their career goals and skill sets when choosing between these roles.

What are popular job titles related to Database Administration Internships jobs in Oregon? For Database Administration Internships jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Database Administration Internships jobs in Oregon look for? The top searched job categories for Database Administration Internships jobs in Oregon are:
Database Administration Internships jobs near you

Junior Solutions Architect - MLOps & Real-Time Data Integration

Striim, Inc.

OR • On-site

$120K - $130K/yr

Other

Medical, Dental, Vision, PTO

Posted 12 days ago

Job description

We are seeking a Junior Solution Architect with a strong foundation in data science, MLOps, cloud data platforms, and modern data engineering to help design and implement real-time data integration and AI-enabled architectures. Working alongside experienced Solution Architects and Engineering teams, this role provides an opportunity for an early-career professional to gain hands-on experience designing scalable streaming data solutions that power enterprise AI, cloud modernization, and real-time analytics.

The ideal candidate is eager to apply data science and machine learning concepts to real-world enterprise challenges, expand technical expertise across modern cloud and data technologies, and develop into a trusted technical architect within a collaborative, fast-paced environment.

Responsibilities

  • Design and implement scalable real-time data integration and Change Data Capture (CDC) solutions using the Striim platform.
  • Design streaming data architectures connecting enterprise databases, cloud data platforms, messaging systems, and AI/ML environments.
  • Develop data pipelines that support machine learning workflows, feature engineering, model inference, and real-time AI applications.
  • Build proof-of-concepts, reference architectures, and deployment patterns for enterprise implementations.
  • Configure, optimize, and troubleshoot data pipelines across cloud and hybrid environments.
  • Collaborate with Engineering, Product, and GTM Engineering teams to validate architectural designs, resolve complex technical challenges, and improve platform capabilities.
  • Participate in architecture reviews, implementation planning, and production readiness activities.
  • Create technical documentation, architecture diagrams, and implementation best practices.
  • Evaluate emerging technologies across AI, MLOps, cloud computing, and real-time data streaming.

Requirements

  • 1-3 years of professional experience or equivalent graduate research, internships, or project experience in data science, machine learning, data engineering, cloud engineering, or solution architecture.
  • Strong foundation in data science, including machine learning algorithms, model selection, feature engineering, and the machine learning lifecycle.
  • Understanding of modern MLOps practices, including model deployment, inference, monitoring, versioning, and CI/CD for machine learning applications.
  • Experience or academic exposure to machine learning frameworks and platforms such as MLflow, Kubeflow, Vertex AI, SageMaker, or Azure Machine Learning.
  • Familiarity with modern data integration concepts, including Change Data Capture (CDC), event-driven architectures, and real-time streaming data pipelines.
  • Working knowledge of relational and NoSQL databases, including SQL proficiency and database administration fundamentals.
  • Experience with cloud platforms and modern cloud data ecosystems, including AWS, Azure, GCP, Databricks, Snowflake, BigQuery, Amazon Redshift, or Azure Synapse.
  • Experience programming in Python or Java and working with REST APIs and JSON.
  • Understanding of Docker containers and modern DevOps concepts; familiarity with Kubernetes, Git, and CI/CD pipelines.
  • Strong analytical, troubleshooting, written, and verbal communication skills.
  • Demonstrated curiosity, adaptability, and a passion for learning emerging technologies in AI, cloud computing, and real-time data streaming.
  • Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical discipline.

Benefits

  • Competitive salary and pre-IPO stock options
  • Comprehensive health care plans (medical, dental and vision), including medical and dependent FSA
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • The chance to contribute to and shape an upbeat, fully engaged culture

Compensation

$120,000 - $130,000 USD on an annualized basis. In addition to base pay, this role offers the opportunity to earn commission-based rewards.

Applications will be reviewed on a rolling basis and accepted until the position is filled.

Apply