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Hiring Opt Student For Data Engineer Jobs in Oregon

Lead Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

WHO WE ARE LOOKING FOR We're looking for a Lead Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions within Nike's CP&I organization. This role drives the ...

For more than 100 years, we have been innovating new treatments, procedures, and approaches to ... The Data Engineer, Research Informatics plays a critical role in enabling data-driven clinical and ...

We are seeking a Principal Data Engineer to drive scalable, business-focused data solutions that ... This role is ideal for someone who combines deep technical expertise in modern data platforms with ...

We are seeking a Principal Data Engineer to drive scalable, business-focused data solutions that ... This role is ideal for someone who combines deep technical expertise in modern data platforms with ...

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

You'll serve as a technical leader responsible for data platform governance, feature enablement, and engineering best practices while partnering closely with teams across the enterprise to ensure our ...

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

You'll serve as a technical leader responsible for data platform governance, feature enablement, and engineering best practices while partnering closely with teams across the enterprise to ensure our ...

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

You'll serve as a technical leader responsible for data platform governance, feature enablement, and engineering best practices while partnering closely with teams across the enterprise to ensure our ...

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

You'll serve as a technical leader responsible for data platform governance, feature enablement, and engineering best practices while partnering closely with teams across the enterprise to ensure our ...

OR

$114K - $137K/yr

We are looking for a Senior Data Engineer to help evolve and scale our modern data ecosystem, including our data lake, data warehouse, and machine-learning enablement platforms. This role will ...

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

Data Engineering at Netflix is a role that requires building systems to process data efficiently ... If you want an accommodation/adjustment for a disability or any other reason during the hiring ...

OR

$114K - $137K/yr

About this role As a Principal Data Engineer, you will play a key role in developing our modern ... You will be responsible for the architecture, design, and implementation of secure, scalable, high ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance ...

The Data Engineer is responsible for designing, building, and maintaining data pipelines and data services that enable scientific analysis, analytics, and user engagement activities within the ...

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Comments for Suppliers: Must be onsite at Client HQ in Beaverton for Hybrid schedule, 4:1. Data engineers build and maintain systems that collect, manage, and transform data into usable information.

OR

$80K - $180K/yr

We are looking for a data engineer who has a strong technical background and interest in ETL ... The hiring process usually takes several weeks and begins with a phone or video interview. Grant ...

$114K - $137K/yr

The Data Engineer performs scripted development using tools such as Python, SQL, and ETL/ELT frameworks; optimizes data models and schemas for reporting; and implements data validation ...

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Hiring Opt Student For Data Engineer information

What kinds of projects and responsibilities can an OPT student expect when starting as a Data Engineer?

As an OPT student beginning a Data Engineer role, you can expect to work on projects involving data collection, ETL (Extract, Transform, Load) pipeline development, and database management. Early responsibilities often include supporting senior engineers with data cleaning, designing data models, and collaborating with data analysts and software developers to ensure reliable and accessible data infrastructure. You'll likely use tools such as SQL, Python, and cloud platforms, and participate in team meetings to discuss project goals and troubleshoot data-related challenges. This hands-on experience provides a strong foundation for future career growth in data engineering.

What is a Data Engineer hired under OPT, and what do they do?

A Data Engineer hired under OPT (Optional Practical Training) is an international student in the U.S. on an F-1 visa who has completed or is pursuing their degree and is authorized to work in their field of study. As a Data Engineer, their primary role is to design, build, and maintain the infrastructure and tools needed to collect, store, and analyze large datasets. They work with technologies such as SQL, Python, and big data frameworks to ensure data is accessible and reliable for analytics and business intelligence. OPT allows these students to gain practical experience relevant to their academic background.

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

To excel as an OPT Data Engineer, you need a solid background in computer science, programming (especially Python or Java), and experience with database systems, often supported by a relevant degree. Familiarity with big data tools (like Hadoop or Spark), cloud platforms (AWS, Azure, or GCP), and data pipeline technologies is typically required. Strong problem-solving skills, attention to detail, and effective communication help you stand out in this role. These skills enable efficient data processing and collaboration, which are essential for building reliable, scalable data solutions in a fast-paced environment.

What is the difference between Hiring Opt Student For Data Engineer vs Data Analyst?

AspectHiring Opt Student For Data EngineerData Analyst
Required CredentialsRelevant coursework, basic programming skills, possibly some certifications in data toolsStatistical knowledge, data visualization skills, often a degree in statistics, mathematics, or related fields
Work EnvironmentTechnical teams, data engineering projects, cloud platformsBusiness units, reporting, data interpretation tasks
Employer & Industry UsageTech companies, startups, organizations with data infrastructure needsFinance, marketing, healthcare, and other sectors analyzing data for insights

Hiring Opt Student For Data Engineer roles focus on technical skills like programming and data infrastructure, while Data Analysts emphasize statistical and visualization skills. Both roles support data-driven decision-making but differ in technical depth and project scope.

What are popular job titles related to Hiring Opt Student For Data Engineer jobs in Oregon? For Hiring Opt Student For Data Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Hiring Opt Student For Data Engineer jobs in Oregon look for? The top searched job categories for Hiring Opt Student For Data Engineer jobs in Oregon are:
What cities in Oregon are hiring for Hiring Opt Student For Data Engineer jobs? Cities in Oregon with the most Hiring Opt Student For Data Engineer job openings:
Infographic showing various Hiring Opt Student For Data Engineer job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Lead Data Engineer

Lead Data Engineer

Nike

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Posted 4 days ago


Nike rating

7.6

Company rating: 7.6 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

7th of 104 rated fashion retailers


Job description

LEAD, DATA ENGINEER - NIKE
[Beaverton, OR - USA]
WHO YOU'LL WORK WITH
Consumer Product and Innovation (CP&I) Data and Analytics Engineering sits at the intersection of product innovation and enterprise data strategy at Nike. Reporting to the Engineering Director, this team partners with data scientists, engineers, analysts, and product managers to build a cross-capability data foundation and a semantic layer that powers Advanced Analytics, Business Intelligence, and AI solutions driving business growth.
WHO WE ARE LOOKING FOR
We're looking for a Lead Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions within Nike's CP&I organization. This role drives the development of robust data products that support Business Intelligence and AI initiatives across the business. The candidate will lead technical design and development while mentoring junior engineers and setting standards for data governance, performance, and engineering excellence.
We're seeking someone with deep expertise in distributed data processing and cloud-based data platforms who can translate complex business requirements into reliable, production-grade solutions. The ideal candidate brings strong leadership instincts, excels in cross-functional collaboration, and communicates technical concepts clearly to both engineering peers and non-technical stakeholders. Success in this role requires a builder's mindset, a commitment to continuous improvement, and the ability to thrive in a fast-paced environment where data directly fuels innovation and growth.
  • Bachelor's degree or equivalent combination of education, experience, or training
  • 8+ years of experience as a Data Engineer with strong expertise in Databricks, PySpark, SQL, and Apache Spark
  • Hands-on experience with the Databricks Lakehouse Platform, Medallion architecture, Delta Lake, and AWS data services (S3, RDS)
  • Proven experience leading and mentoring data engineering teams, with strong skills in CI/CD, Git, and DevOps practices
  • Experience with data modeling, ETL/ELT processes, real-time data processing frameworks (Kafka, Kinesis, or similar), and cross-functional stakeholder communication

Preferred qualifications:
  • Knowledge of Generative AI and Machine Learning pipelines and integrating them into production environments
  • Databricks certification (e.g., Databricks Certified Data Engineer or Databricks Certified Developer for Apache Spark)

WHAT YOU'LL WORK ON
You'll be at the forefront of building Nike's data foundation and semantic layer - designing and delivering the pipelines, frameworks, and data products that turn raw data into insights shaping product innovation and business strategy. This is hands-on, high-impact work at the intersection of engineering craft and enterprise scale.
  • Lead the design, development, and deployment of scalable data pipelines and architectures that power analytics and AI initiatives across CP&I
  • Partner with data scientists, analysts, product managers, and business stakeholders to translate requirements into technical specifications and deliver solutions that drive decision-making
  • Mentor junior data engineers and champion best practices in coding standards, data governance, and performance optimization
  • Build and maintain robust, reusable data engineering components, frameworks, and libraries that process data from diverse sources with consistency and quality
  • Monitor, troubleshoot, and optimize data pipelines to ensure high availability, performance, and reliability at enterprise scale
  • Implement CI/CD pipelines to automate deployment and testing of data engineering workflows
  • Participate in code reviews and contribute to a culture of collaboration, innovation, and continuous improvement

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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