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Internship Azure Data Engineer Jobs in Portland, OR

Temporary Data Scientist

Vancouver, WA

$40/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Azure SQL. * Experience integrating and transforming data from multiple sources, including on ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within ... Azure SQL. * Experience integrating and transforming data from multiple sources, including on ...

Infrastructure Data Analytics Engineer

Gresham, OR · On-site

$121K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Cloud platforms (Azure, AWS) * Enterprise databases * REST and GraphQL APIs * SaaS and third-party ... Data Engineering & Transformation * Develop complex SQL queries, stored procedures, views, and data ...

.Net with Azure

Beaverton, OR · On-site

$57.25 - $71/hr

Strong developer with knowledge of .Net concepts, OOPS concepts, Design Driven Development * Strong ... Pattern (Circuit Breaker, Data Repository, Class Factory) * Azure Coding & Setup (Service Bus ...

Experience with cloud data platforms and migration initiatives (Azure, AWS, or similar) * Strong ... Data Analyst, BI Developer, Data Engineer, Solutions Architect, or Systems Administrator with ...

Diverse Lynx is seeking a highly skilled Data Security Engineer to design, implement, and manage ... The ideal candidate will have strong expertise in Cohesity, PKI, and Azure Cloud Security, along ...

... data models, security architecture, and performance strategies aligned with healthcare compliance and audit requirements. * Oversee DevOps processes using Lifecycle Services (LCS) and Azure DevOps ...

Data Visualization Engineer

Beaverton, OR · On-site

$120K - $145K/yr

MDAEdge is a company seeking a Data Visualization Engineer to join their team. The role involves ... with Azure and AWS cloud environments • Skilled in Power BI for dashboarding and data ...

... Azure/GCP (one or more), including managed data platforms and scalable compute patterns. * 2+ years of experience with structured problem solving, translating business needs into requirements ...

Data Visualization Engineer 4

Beaverton, OR · On-site

$119K - $143K/yr

Requirements Top skills include the following: - Data/visualization engineering skills - Ability to trace back data code to find the source of truth - Experience with Azure and AWS - Ability to write ...

Senior Database Administrator

Portland, OR · On-site +1

$62.73 - $77.16/hr

Knowledge, Skills, and Abilities (KSAs): • Advanced knowledge of or skill in Azure Cloud (Azure SQL Managed Instance, Azure SQL Database, Azure Data Lake, Azure Data Factory, Azure DevOps, Azure ...

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ... Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services ...

Showing results 41-60

Internship Azure Data Engineer information

See Portland, OR salary details

$14

$26

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How much do internship azure data engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for internship azure data engineer in Portland, OR is $26.95, according to ZipRecruiter salary data. Most workers in this role earn between $21.92 and $30.58 per hour, depending on experience, location, and employer.

What does an internship Azure Data Engineer do?

An Internship Azure Data Engineer assists in designing, building, and maintaining data solutions using Microsoft Azure technologies. Responsibilities typically include working with data pipelines, cloud databases, and tools such as Azure Data Factory, Azure SQL Database, and Azure Databricks. Interns often help with data integration, transformation, and storage tasks, as well as collaborating with senior engineers and stakeholders to support data-driven projects. This role provides valuable exposure to cloud computing, big data, and the practical application of data engineering concepts.

What kinds of projects and technologies can I expect to work with during an internship Azure Data Engineer?

As an Azure Data Engineer intern, you'll typically gain hands-on experience with cloud data solutions, such as building and managing data pipelines using Azure Data Factory, integrating data sources with Azure Databricks or Synapse Analytics, and working with Azure SQL databases. Interns often participate in real-world projects like data migration, data cleansing, and developing dashboards for business insights. You will likely collaborate closely with data scientists, software developers, and business analysts, learning best practices for data security, scalability, and performance in a cloud environment.

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

To thrive as an Internship Azure Data Engineer, you need a solid understanding of data management concepts, SQL, and a background in computer science or a related field. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and tools such as Power BI is typically required, along with a willingness to pursue certifications like Microsoft Certified: Azure Data Engineer Associate. Strong analytical thinking, problem-solving skills, and effective teamwork set candidates apart in this role. These skills are essential to efficiently design, implement, and maintain data solutions that support business intelligence and decision-making in cloud environments.

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

AspectInternship Azure Data EngineerData Analyst Intern
Required CredentialsBasic knowledge of Azure, SQL, and data engineering conceptsBasic understanding of data analysis, Excel, and SQL
Work EnvironmentCloud platforms, data pipelines, and database managementData visualization, reporting, and data interpretation
Employer & Industry UsageTech companies, cloud service providers, data-driven organizationsBusiness, marketing, finance sectors, and consulting firms

Internship Azure Data Engineer roles focus on cloud-based data pipeline development and management using Azure tools, while Data Analyst Internships emphasize data interpretation and reporting. Both roles are entry-level, often require SQL knowledge, and serve data-driven industries, but they differ in technical focus and daily tasks.

What are the most commonly searched types of Azure Data Engineer jobs in Portland, OR?

The most popular types of Azure Data Engineer jobs in Portland, OR are:

What are popular job titles related to Internship Azure Data Engineer jobs in Portland, OR?

For Internship Azure Data Engineer jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Internship Azure Data Engineer jobs in Portland, OR look for?

The top searched job categories for Internship Azure Data Engineer jobs in Portland, OR are:

Infographic showing various Internship Azure Data Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $56,065 per year, or $27 per hour.

Temporary Data Scientist

nLIGHT

Vancouver, WA

$40/hr

Full-time, Temporary

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Job description

Who We Are
 
At nLIGHT, we are constantly on the cutting-edge of laser technology in a massively growing market. We are a leading provider of high-power semiconductors and fiber lasers for industrial, microfabrication, and aerospace & defense applications, to name a few. Our lasers are changing not only the way things are made, but also changing the things that can be made.
 
Headquartered in Camas, Washington, nLIGHT is a publicly listed company (NASDAQ: LASR).
We are seeking a Temporary Data Scientist for a 9-month assignment to support analysis and data-driven decision-making within a high-tech manufacturing environment. This role will focus on integrating and analyzing data from multiple systems to identify trends, improve process understanding, and help predict manufacturing performance. The ideal candidate brings strong technical data skills, experience working with complex datasets, and the ability to communicate insights clearly to cross-functional stakeholders.  
 

This position is anticipated to last approximately 9 months.

Responsibilities 
    • Collect, clean, and structure data from multiple sources, including databases, APIs, and spreadsheets, to support meaningful analysis.
    • Develop, test, and apply statistical models, analytical methods, and machine learning techniques to solve business and manufacturing challenges. 
    • Create reports, dashboards, and visualizations that translate technical findings into clear insights for non-technical audiences. 
    • Partner with cross-functional teams, including Operations and Planning, to identify opportunities for improved performance and decision-making.
    • Present findings and recommendations to internal stakeholders in a clear, concise, and actionable manner. 
Requirements   
    • Strong SQL and relational database skills, including experience writing complex queries and working with Microsoft SQL Server and/or Azure SQL.
    •  Experience integrating and transforming data from multiple sources, including on-premises and cloud-based systems. 
    • Strong background in statistics, data analysis, and correlation methods, with proficiency in Python, R, or similar analytical tools. 
    • Knowledge of semiconductor, laser, or other advanced manufacturing processes is preferred. 
    • Demonstrated ability to work independently, manage complex data challenges, and communicate findings effectively to a range of audiences.
    • Advanced Excel skills are required; experience with Power BI is preferred. 
    • Experience working with complex enterprise data environments and large datasets. 
    • 3+ years of hands-on data analysis experience in a high-tech manufacturing, semiconductor, or similar environment is preferred. 
    • Master’s degree or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred. 
    • Lean, Six Sigma Green Belt, or Black Belt certification is a plus. 
nLIGHT is proud to offer comprehensive COMPENSATION AND BENEFITS: 
This is a fixed‑term (approximately 9 months), exempt role with a competitive salary and full benefits.
Data Scientist pay range:  $ annually
Other compensation and benefits
  • Target Cash Bonus of 6% of earned wages
  • Eligible for Restricted Stock Unit grants
  • 4 weeks of Paid Time Off per year 
  • 10 paid Holidays 
  • Eligible for health benefits on the 1st day of the month after your start date 
  • Medical, Dental and Vision Benefits, including prescription and orthodontia with employee-paid premiums as low as $40.00 per pay period 
  • Flexible Spending and Health Savings Accounts  
  • Employee Stock Purchase Plan  
  • 401(k) with company match and immediate vesting  
  • Company paid Short-Term and Long-Term Disability, and Life & AD&D Insurance 
  • Employee Assistance Program 
  • Aflac Supplemental Insurance 
  • Paid Bereavement Leave and Jury Duty 
  • Tuition Assistance Program 
  • Pet Insurance

nLIGHT is subject to US Export Control regulations. To qualify for this position, you must be a US Person (that is, a US citizen, lawful permanent resident, or protected individual granted asylum or refugee status).

Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or age. For more information about our commitment to equal employment opportunity, please see this government poster: Know Your Rights: Workplace Discrimination is Illegal. If you are an individual with a disability and need a reasonable accommodation in the application or hiring process, please contact Human Resources at (360) 566-4460 or HR@nlight.net.
E-Verify Participation: 
nLIGHT participates in the E-Verify program. This employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s Form I-9 to confirm work authorization. 
  
For more information, please review the following notices: 
  •  E-Verify Participation Poster  
  •  Right to Work Poster