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Data Engineer Data Analyst Jobs in Oregon (NOW HIRING)

Data Engineer, Staff

Newberg, OR

$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 ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Data Engineer

OR · On-site

$35 - $40/hr

Collaborate with product managers, business analysts, architects, and engineers to deliver scalable data solutions. * Create reusable transformation components and follow engineering standards and ...

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 ...

OR

$114K - $137K/yr

As a senior technical expert, you will collaborate cross-functionally with engineering, analytics, and product teams to design data systems that are secure, efficient, and cost-effective. You will ...

Data Analyst Job Details Demonstrate analytical and debugging skills. Should be able to examine data patterns to identify performance issues and improvement opportunities. Must be meticulous and ...

Data Analyst Location : Salem Oregon duration : 6+months : * Analyze ODOT Asset Management systems and databases and document the current state this would include SQL, Oracle, Access, GIS, etc.

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

We are looking for a data-driven Senior Data Analyst to join our finance team. You will support and ... You will collaborate with Data Engineering on data pipelines, identifying and solving complex data ...

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 to become part of a fast-growing, revolutionary fintech company shaping the future of retail futures ...

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 ...

OR

$80K - $180K/yr

Data-driven decision making is an increasingly important part of our company culture, and our Data Analytics team provides the tools to make it happen. As part of this team, developers are ...

Senior Data Engineer

$105K - $150K/yr

SKILLS & COMPETENCIES Coach and mentor the Analytics Engineering team: guiding, planning, and reviewing the team's work. Collaborate with senior management to define and execute the company's data ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Lead Data Analyst

OR · Remote

$160K - $200K/yr

Partnership with analytics engineering * Work closely with analytics engineers on data modeling. You'll shape what gets built in the warehouse layer, not just consume it. * Turn recurring analytical ...

New

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

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 ...

Prior experience working with data engineers and understanding of technical requirements. * Preferred Experience with Databricks, Thoughtspot, , and other data lake / warehouse and analytics tools.

Showing results 21-40

Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

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

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What job categories do people searching Data Engineer Data Analyst jobs in Oregon look for? The top searched job categories for Data Engineer Data Analyst jobs in Oregon are:
What cities in Oregon are hiring for Data Engineer Data Analyst jobs? Cities in Oregon with the most Data Engineer Data Analyst job openings:
Infographic showing various Data Engineer Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution.

$120K - $144K/yr

Full-time

Re-posted 4 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.

OverviewThe 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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