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Data Engineer Jobs in Camas, WA (NOW HIRING)

Pwc

Data Governance- Manager

Portland, OR

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

US Bank

Infrastructure Data Analytics Engineer

Gresham, OR

$121K - $145K/yr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This ...

AZAD Technology Partners

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

Join AZAD Technology Partners as a Data Scientist and work within the facility's Transmission ... Founded and managed by technologists and engineers, AZAD is a leading provider of Consulting ...

Azad, Inc

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

Join AZAD Technology Partners as a Data Scientist and work within the facility's Transmission ... Founded and managed by technologists and engineers, AZAD is a leading provider of Consulting ...

AZAD Technology Partners

Data Scientist

Vancouver, WA · On-site

$80 - $100/hr

This assignment will analyze, process and model data and interpret the results to develop data ... Founded and managed by technologists and engineers, AZAD is a leading provider of Consulting ...

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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:

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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.

Sr. Big Data Engineer

BizTek People, Inc. | APA International Placement Consultants

Beaverton, OR • On-site

$58 - $76.75/hr

Contractor

Re-posted 22 days ago

Job description


  • Specific application programming, development methods, techniques and standards
  • Proficient in application development tools
  • Software tools, which automate or assist part of the development process.
  • Has a good knowledge of a wide area of IS concepts and practice, including the systems development life cycle, with a deep knowledge of at least one area of specialization.
  • Familiar with database software
  • Familiar with operating infrastructure
  • Knowledge of the IS infrastructure (hardware, databases, operating systems, local area networks etc) used within the organization.
  • Microsoft Certified Solution Developer (MCSD) (www.microsoft.com) covers Microsoft Windows operating systems and application development.
  • Information Systems Examination Board (www.iseb.org.uk)
  • Diploma in Rapid Application Development Proven ability to work in a Test Driven Development manner
  • Responsible for development of application using object-oriented Java tools and methodologies.

Requirements
  • Hive
  • Python
  • Scala
  • DynamoDB
  • NoSQL

Skill Set
Hive Python Scala DynamoDB NoSQL

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