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Data Engineer Jobs in Camas, WA (NOW HIRING)

campus4tech

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Job Title- Data Engineer 5 Location- Beaverton, OR, United States, 97005 Reporting Type- Onsite Duration: 9+ Months Summary GT Title: Data Engineer Requirements Typically requires a Bachelors Degree ...

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR

$119K - $143K/yr

Data Engineer - Databricks Location: Beaverton, OR - Hybrid (3 Days Onsite) Contract-to-Hire Job Overview We are seeking an experienced Data Engineer with strong Databricks expertise to design ...

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Data Engineer - Databricks Location: Beaverton, OR - Hybrid (3 Days Onsite) Contract-to-Hire Job Overview We are seeking an experienced Data Engineer with strong Databricks expertise to design ...

Phaxis

Sr. Data Engineer

Beaverton, OR · On-site

$40 - $45/hr

Data Engineer ( Data Bricks) * Location: Oregon, Beaverton (Hybrid * 6+ years of IT experience with 5+ years in Data Engineering. * Mandatory hands-on experience in Databricks (PySpark, Spark SQL ...

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Company Description Data Engineer - Databricks Location: Beaverton, OR - Hybrid (3 Days Onsite) Contract-to-Hire Job Overview We are seeking an experienced Data Engineer with strong Databricks ...

David Yurman Enterprises LLC

Data Engineer

Beaverton, OR · On-site

$125 - $150/hr

Position Overview The Data Management & Engineering (DME) team at David Yurman (DY) is responsible for designing and implementing state‑of‑the‑art data and analytics solutions. We are looking ...

Qode

Data Engineer

Camas, WA · On-site

$126K - $151K/yr

Data Engineer Pay: $100K - $140K + Bonus Locations: - First 90 days on site and then 1 day a week WFH - Plano, TX & Camas, WA Work Authorization: ONLY USC and GC no other visas will be considered.

New

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Overview As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a Sr. Data ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a Sr. Data Engineer ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Overview As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a Sr. Data ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Overview As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a Sr. Data ...

Elite eXceed

Sr. Data Engineer

Beaverton, OR · On-site

$100 - $125/hr

The Sr. Data Engineer position is going to help the Digital Dash team pull data from various sources, store it in a database where we can access it, write/schedule jobs to get the data to flow in a ...

Phaxis

Lead Data Engineer- Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Data Engineer ( Data Bricks) * Location : Oregon, Beaverton (Hybrid) * No of Years -14+ Years * 14+ years of IT experience with 10+ years in Data Engineering. * Mandatory hands-on experience in ...

Russell, Tobin & Associates

Data Engineer 5

Beaverton, OR · On-site

$70 - $78/hr

Data Engineer Location: Beaverton, OR - Hybrid (4 days onsite / 1 day remote per week) Duration: Contract role - 9+ months Pay Rate Range: $70 - $78 per hour (DOE) Responsibilities: * Build and ...

Pwc

Data Engineer - Senior Manager

Portland, OR · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

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All JobsData Engineer JobsData Engineer Jobs in Camas, WA

Data Engineer information

See Camas, WA salary details

$49K

$142.8K

$195.4K

How much do data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineer in Camas, WA is $142,764.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,000.00 and $151,300.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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 a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Camas, WA?

The most popular types of Data Engineer jobs in Camas, WA are:

What are popular job titles related to Data Engineer jobs in Camas, WA?

For Data Engineer jobs in Camas, WA, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Camas, WA look for?

The top searched job categories for Data Engineer jobs in Camas, WA are:

What cities near Camas, WA are hiring for Data Engineer jobs?

Cities near Camas, WA with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Camas, WA as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $142,764 per year, or $68.6 per hour.

Data Engineer

campus4tech

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Re-posted 9 days ago

Job description

Job Title- Data Engineer 5
Location- Beaverton, OR, United States, 97005
Reporting Type- Onsite
Duration: 9+ Months
Summary
GT Title: Data Engineer
Requirements
Typically requires a Bachelors Degree and minimum of 10 years directly relevant experience; experience should include comprehensive experience as a business/process leader or industry expert Note: One of the following alternatives may be accepted: - PhD or Law + 8 yrs; Masters + 9 yrs; Associates degree + 11 yrs; High School + 12 yrs.
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. They work with large amounts of data from various sources, and ensure that data is accessible and flows smoothly to its destination.
Must have 4-6 years of experience with:
Databricks
AWS
Apache Spark
Python
PySpark
Previous Clients experience a plus. Any ETWs let go at the end of 05/31 can be considered since a 90 day break would be fulfilled.
Skills
Data engineer
Responsibilities
Establishes database management systems, standards, guidelines and quality assurance for database deliverables, such as conceptual design, logical database, capacity planning, external data interface specification, data loading plan, data maintenance plan and security policy. Documents and communicates database design. Evaluates and installs database management systems. Codes complex programs and derives logical processes on technical platforms. Builds windows, screens and reports. Assists in the design of user interface and business application prototypes. Participates in quality assurance and develops test application code in client server environments. Provides expertise in devising, negotiating and defending the tables and fields provided in the database. Adapts business requirements, developed by modeling/development staff and systems engineers, and develops the data, database specifications, and table and element attributes for an application. At more experienced levels, helps to develop an understanding of client's original data and storage mechanisms. Determines appropriateness of data for storage and optimum storage organization. Determines how tables relate to each other and how fields interact within the tables for a relational model.

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