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Data Engineer Jobs in Gresham, OR (NOW HIRING)

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 business intelligence projects of moderate scope or portions of major large-scale projects, and ...

nLIGHT

Temporary Data Engineer

Vancouver, WA · On-site

$45 - $58/hr

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within a high-tech manufacturing environment. This role will focus on integrating and analyzing data from ...

nLIGHT

Temporary Data Engineer

Vancouver, WA · On-site

$45 - $58/hr

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within a high-tech manufacturing environment. This role will focus on integrating and analyzing data from ...

Avani Technology Solutions, Inc.

Data Engineer

Portland, OR · On-site

$121K - $145K/yr

Common Technical Skills For all teams: a. AWS (S3, SNS, SQS, API Gateway,...(and standard stacks)) b. Authentication c. BMX Jenkins with declarative pipelines d. Waffle Iron e. Terraform or Cloud ...

Moda Health

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

Position Summary The Data Engineer role on the Data Science Team (DST) is responsible for designing, maintaining, and enhancing data integration pipelines that support the Enterprise Data Warehouse ...

nLIGHT

Temporary Data Engineer

Vancouver, WA · On-site

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within a high-tech manufacturing environment. This role will focus on integrating and analyzing data from ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Gresham, OR

Data Engineer information

See Gresham, OR salary details

$47K

$136.9K

$187.4K

How much do data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data engineer in Gresham, OR is $136,917.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,900.00 and $145,100.00 per year, depending on experience, location, and employer.

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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Gresham, OR? The most popular types of Data Engineer jobs in Gresham, OR are:
What are popular job titles related to Data Engineer jobs in Gresham, OR? For Data Engineer jobs in Gresham, OR, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Gresham, OR look for? The top searched job categories for Data Engineer jobs in Gresham, OR are:
What cities near Gresham, OR are hiring for Data Engineer jobs? Cities near Gresham, OR with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Gresham, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $136,917 per year, or $65.8 per hour.

Data Engineer, Staff

A-dec, Inc.

Newberg, OR • On-site

$120K - $144K/yr

Full-time

Re-posted 5 days ago

A-dec rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

2nd of 51 rated furniture manufacturers

Job description

At A-dec, we do more than create the highest quality products and services for the dental industry; we strive to deliver a superior employment experience for each of our team members. With an environment that encourages and assists each person in developing to their highest potential, a career at A-dec is incredibly rewarding.
Overview
The Staff Data Engineer independently plans, schedules, and leads data, analytics, and business intelligence projects of moderate scope or portions of major large-scale projects, and participates in the determination of technical objectives. Responsible for the department's data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis. This role will work closely and collaboratively with members of the Data & Analytics and other development teams to define requirements, mine and analyze data, integrate data from a variety of sources, and deploy high quality data pipelines in support of the analytics needs of A-dec.
JOB DUTIES AND RESPONSIBILITIES:
  • Designs and builds multi-tenant systems capable of loading and transforming large volumes of structured and semi-structured fast-moving data.
  • Works with Program and Project Managers to understand the features, do technical assessment, design, code, test and deliver.
  • Defines and manages SLAs and data quality for datasets and processes.
  • Designs, implements, tests, deploys, and maintains stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects, including integrating new sources of data into our central data warehouse, and moving data out to applications.
  • Independently works on a wide range of complex problems that require new approaches through adaptation and modification of standard data, analytics, and BI principles, theories, techniques, and procedures, providing solutions that are imaginative, thorough, and practical.
  • Develops new and varied solutions to data, analytics, and BI projects and contributes to the value of program solutions by studying industry best practices, seeking to understand and validate internal customer needs, and supporting line of site of program execution to business impacting.
  • Performs one-off data manipulation/munging and analysis on a wide variety organizing data.
  • Implements and monitors best in class security measures in our data warehouse and analytics environment, with an eye towards the evolving threat landscape.
  • Analyzes data, analytics, and BI problems to determine suitable solutions. Establishes and coordinates design reviews with peers and project leads. Responsible for organizing data and preparing documentation for assigned projects.
  • Responsible for thoroughly testing their data, analytics, and BI solutions, coordinating others on data, analytics, and BI verification tests, and testing peer data, analytics, and BI solutions when necessary.
  • Most work examined at a higher level. Actual supervision received may be minimal or moderate depending upon project complexity. Closer supervision given on new aspects of assignments.

QUALIFICATIONS:
Knowledge, Skills, and Abilities
  • Strong command of best practices applied in relational databases and SQL as well as Extract, Transform, and Load (ETL) data into a relational database.
  • Deep understanding Data Warehousing, Date Lakes, Date Pipelines, and Business Intelligence Applications.
  • Ability to interpret moderately complex data, analytics, and BI requirements and apply data, analytics, and BI design methodologies.
  • General data manipulation skills: read in data, process, and clean it, transform, and recode it, merge different data sets together, reformat data between wide and long, etc.
  • Ability to learn new techniques and troubleshoot code without support, in other words, be able to learn on the job.
  • Use APIs to push and pull data from various data systems and platforms.
  • Ability to write clear code that is well-documented and stored in a version control system.
  • Proficient with Python, databases, and SQL expertise.
  • Proven ability to work both independently and collaboratively within a team environment while following established procedures.
  • Excellent listening, interpersonal, communication and problem-solving skills.

Education and Experience
  • At least ten years of relevant data, analytics, and BI engineering experience
  • BS degree in related field or equivalent work experience

Preferred Qualifications
  • Experience with Azure environment
  • Experience developing cloud data warehouses (e.g. Snowflake or Databricks)
  • Experience with lambda and kappa architectures
  • Experience with iPaaS platforms and other no-code/low-code platforms

Disclaimer
This job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not to be construed as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. A-dec reserves the right to assign job duties and days and hours of work based on factors such as workload requirements, staffing levels, and customer demands.
At A-dec, we value our people and show it by prioritizing an inclusive culture, total well-being, and opportunities for learning and career advancement.
A background check and screen for the illegal use of drugs is required.
A-dec is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. In addition, A-dec will not discriminate against applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another. *VEVRAA Federal Contractor"
A-dec is interested in qualified candidates authorized to work in the United States for US-based positions. We are unable to sponsor or take over sponsorship of employment visas.

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