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Data Engineer With Jobs in Beaverton, OR (NOW HIRING)

Nike

Lead Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

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 ...

Concora Credit Inc.

Data Engineer

Beaverton, OR

$119K - $143K/yr

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes beyond ...

New

Concora Credit Inc.

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes beyond ...

Concora Credit Inc.

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes beyond ...

New

Concora Credit Inc.

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes beyond ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

We are seeking a Senior Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

We are seeking a Senior Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes ...

campus4tech

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

They work with large amounts of data from various sources, and ensure that data is accessible and ... Skills Data engineer Responsibilities Establishes database management systems, standards ...

Bespoke Labs

Data Engineer

Vancouver, WA · On-site

$121K - $145K/yr

What You'll Be Working On You will work directly with our research team on RL environment and task ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Portland, OR · On-site

$121K - $145K/yr

What You'll Be Working On You will work directly with our research team on RL environment and task ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Gresham, OR · On-site

$120K - $145K/yr

What You'll Be Working On You will work directly with our research team on RL environment and task ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Pwc

Data Engineer - Manager

Portland, OR

In data engineering at PwC, you will focus on designing and building data infrastructure and ... With your growing knowledge of how business works, you play an important role in identifying ...

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All JobsData Engineer With JobsData Engineer With Jobs in Beaverton, OR

Data Engineer With information

See Beaverton, OR salary details

$46.3K

$135K

$184.7K

How much do data engineer with jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data engineer with in Beaverton, OR is $134,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,100.00 per year, depending on experience, location, and employer.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the infrastructure and systems needed to collect, store, and analyze large amounts of data. They work with tools and technologies that enable organizations to process data efficiently and ensure its quality, reliability, and accessibility. Data Engineers often collaborate with data scientists, analysts, and other IT professionals to support business intelligence and analytical needs. Their work is crucial for turning raw data into actionable insights.

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

To thrive as a Data Engineer, you need expertise in SQL, data modeling, ETL processes, and strong programming skills in languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with big data technologies such as Hadoop, Spark, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help Data Engineers collaborate with stakeholders and troubleshoot complex issues. These competencies ensure efficient data pipeline development, reliable data infrastructure, and support data-driven decision-making in organizations.

What are some common challenges Data Engineers face when working with large-scale data pipelines, and how can they be addressed?

Data Engineers often encounter challenges such as data quality issues, pipeline bottlenecks, and scalability concerns when managing large-scale data pipelines. Addressing these challenges typically involves implementing robust data validation checks, optimizing ETL processes for efficiency, and leveraging scalable cloud-based solutions like AWS, Azure, or Google Cloud. Additionally, collaborating closely with data analysts, data scientists, and DevOps teams helps ensure smooth data flow and timely resolution of issues. Continuous monitoring, documentation, and automation are also key practices for maintaining reliable and efficient pipelines.

What is the difference between Data Engineer With vs Data Scientist?

AspectData Engineer WithData Scientist
Required CredentialsBachelor's in CS, Engineering, or related field; certifications like AWS, GCP, or AzureBachelor's or higher in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentBuild and maintain data pipelines, databases, and infrastructureAnalyze data, develop models, and generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is criticalResearch institutions, tech firms, marketing, and analytics-focused companies

While Data Engineers With focus on developing and maintaining data infrastructure, Data Scientists analyze data to derive insights. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Data Engineer With jobs in Beaverton, OR? For Data Engineer With jobs in Beaverton, OR, the most frequently searched job titles are:
What job categories do people searching Data Engineer With jobs in Beaverton, OR look for? The top searched job categories for Data Engineer With jobs in Beaverton, OR are:
Data Engineer With jobs near you
Infographic showing various Data Engineer With job openings in Beaverton, OR as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $134,965 per year, or $64.9 per hour.

Data Engineer

BizTek People, Inc. | APA International Placement Consultants

Beaverton, OR • On-site

$120K - $144K/yr

Contractor

Re-posted 25 days ago

Job description


Job Duties:
• Develop and support data solutions in support of Sustainability reporting and analytics requirements
• Engage with product owner, technology lead, report developers, product analysts, and business partners to understand capability requirements and develop data solutions based on product backlog priorities
Requirements
Skills / Qualifications:
• 5+ years of experience with data engineering with emphasis on data analytics and reporting
• Strong experience with Python or equivalent language
• Experience developing with Spark, preferably leveraging AWS EMR managed service
• Expert experience with SQL and Relational database engineering (Oracle, SQL Server, Teradata)- expert-level SQL abilities
• Experience with AWS data engineering services, resources and architecture
• Experience with agile delivery methodologies- Scrum, SAFe, Extreme Programming
• Experience working with source-code management tools such as GitHub and Jenkins
• Understanding of microservices architecture and REST APIs
Skill Set
Data, Python, Spark

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