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Hiring Opt Student For Data Engineer Jobs in Oregon

Weight Watchers

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

Lead projects from inception to production, taking accountability for data integrity and the ... Experience: 5+ years in data engineering, with at least 2+ years focused on distributed, large ...

A-dec, Inc.

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Responsible for the department's data integration work, including developing a data model ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

We're seeking someone who wants to impact the business and play a pivotal role in leading the charge for change. Responsibilities As our Sr. Data Engineer, you will: * Design and maintain ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As a company grounded in entrepreneurship, we're looking to expand our team and are looking for ... As our Sr. Data Engineer, you will: * Design and maintain foundational data marts and dimensional ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

We're seeking someone who wants to impact the business and play a pivotal role in leading the charge for change. Responsibilities As our Sr. Data Engineer, you will: * Design and maintain ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

We're seeking someone who wants to impact the business and play a pivotal role in leading the charge for change. Responsibilities As our Sr. Data Engineer, you will: * Design and maintain ...

Netflix

Data Engineer (L5) - Ads

OR · On-site +1

$380K - $610K/yr

About the team Ads Data Engineering team sits at the core of building a data ecosystem that will ... We are hiring for several different roles, ranging from senior to staff level for this team. Who ...

NinjaTrader

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

As an accomplished data engineer joining the Data & Analytics team, this is a terrific opportunity ... Optimize ETL/ELT workflows for performance, scalability, and fault tolerance * Develop dbt ...

US Bank

Infrastructure Data Analytics Engineer

Gresham, OR · On-site

$121K - $145K/yr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating ... or hiring process, please refer to ourdisability accommodations for applicants. Benefits: Our ...

A-dec, Inc. (USA)

Data Engineer, Staff

Newberg, OR · On-site

$120 - $180/hr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Responsible for the department's data integration work, including developing a data model ...

MissionWired

Staff Data Engineer

OR · On-site +1

$130K - $150K/yr

We are looking for a Staff Data Engineer to transform millions of data points into unparalleled ... Salary Expected hiring range for this role is $130,000 - $150,000 per year, depending on experience.

Clarity Recruiting

$160K/yr

... Engineer to join its expanding data and analytics team ... This role will be responsible for designing, building, and optimizing scalable data platforms that ...

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All JobsHiring Opt Student For Data Engineer JobsHiring Opt Student For Data Engineer Jobs in Oregon

Hiring Opt Student For Data Engineer information

What is a data engineer hired under OPT?

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 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 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.

Are Hiring Opt Students for Data Engineer roles still in demand?

Data Engineer roles, including those suitable for OPT students, remain in demand due to the growing need for data infrastructure and analytics across industries. Skills in SQL, Python, cloud platforms, and data pipeline tools like Apache Spark are highly valued, and employers often seek candidates with relevant internships or project experience. However, competition can vary based on location and market conditions.

Can I get a hiring opt student for data engineer job with no experience?

Hiring for data engineer positions often requires relevant skills such as programming, data modeling, and familiarity with tools like SQL and Python. While some entry-level roles may consider students with no experience if they demonstrate strong technical aptitude and willingness to learn, most positions prefer candidates with some practical knowledge or internships.

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:

Hiring Opt Student For Data Engineer jobs near you
Infographic showing various Hiring Opt Student For Data Engineer job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior Data Engineer

Weight Watchers

OR • On-site, Remote

$105K - $143K/yr

Full-time

Posted 24 days ago

Job description

We are seeking a seasoned Senior Data Engineer to drive scale, performance, and actionability within our data ecosystem. You will strengthen and scale our Python and Snowflake-based infrastructure, building the core capabilities required to support dynamic analytics and our transition toward more automated, self-service data workflows.

We need an engineer who can adapt to a dynamic product environment, who can ask the 'why' behind the 'what' to ensure we are building the right solutions.

Key Responsibilities
  • Data Enablement: Support the analytics layer by developing core Looker views and building out our agentic AI infrastructure to derive automated self-service capabilities and reduce reporting bottlenecks.
  • Pipeline Architecture: Design, build, and scale ELT pipelines that are resilient, efficient, and modular.
  • Cross-Functional Collaboration: Partner with Finance, Product, and Analytics to ensure our data models solve the right problems.
  • Data Modeling: Build and maintain analytics schemas (including Star Schemas) that abstract complex logic into user-friendly datasets.
  • End-to-End Ownership: Lead projects from inception to production, taking accountability for data integrity and the trustworthiness of the platform.
  • Operational Excellence: Monitor production health using monitoring tools (e.g. Datadog, Monte Carlo) ensuring our data ecosystem remains robust and reliable.
  • Technical Leadership: Act as a technical lead, conduct code reviews, define engineering culture, and champion best practices.
Requirements
  • Experience: 5+ years in data engineering, with at least 2+ years focused on distributed, large-scale cloud data warehouses.
  • Snowflake Expertise: Proven experience with Snowflake performance optimization and cost-governance. Familiarity with Snowflake Cortex/MCP is a plus.
  • Technical Mastery: 
    • Advanced Software Engineering (Python): Deep proficiency in Python, with a focus on writing modular, reusable, and testable code (unit/integration tests) for complex data processing.
    • Data Modeling & SQL Mastery: Expert-level SQL and a sophisticated understanding of data warehousing methodologies to build performant, scalable analytics layers.
    • Infrastructure & Automation: Practical experience with modern CI/CD frameworks (e.g., GitHub Actions, Argo CD) to drive engineering velocity and platform stability.
    • Workflow Orchestration: Expertise in architecting and scaling orchestration-as-code workflows (e.g., Prefect or Airflow) to manage complex dependencies and ensure pipeline resilience.
    • Observability & Reliability: Deep proficiency in deploying monitoring and alerting frameworks (e.g., Datadog) to maximize system uptime while mitigating alert fatigue.
  • Operational Maturity: Experience managing business-critical production pipelines with a focus on uptime, data quality, and defining SLAs.
  • Education: BS/MS in Computer Science, Information Systems, or a related technical field.


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