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Data Analytics Engineer Jobs in Salem, OR (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 ...

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 ...

Solutions Engineer, Remote

Salem, OR · On-site

$120K - $140K/yr

Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical ... A degree in Engineering, Business administration or related field required. * 3+ years of ...

... data analytics, and machine learning techniques to enhance process stability and enable continuous ... Minimum Qualifications - Bachelor's degree in Materials Science, Mechanical Engineering, Chemical ...

Manufacturing Engineer

Newberg, OR

$76K - $98K/yr

Manufacturing Engineer - Machining The Manufacturing Engineer - Machining designs, implements ... Collect and analyze production data and perform work analysis to establish, update, and maintain ER ...

Posted today

As a Yield Development Engineer, you will play a critical role in advancing Intel's cutting-edge ... Analyze and consolidate diverse data sources to identify defect modes and create yield models.

Manufacturing Engineer - Machining

Newberg, OR · On-site

$76K - $98K/yr

Performs all necessary data collection and work analysis to establish and update part fabrication ... and engineering design change. Contributes to the development of standards and related ...

Manufacturing Engineer - Machining

Newberg, OR · On-site

$76K - $98K/yr

Performs all necessary data collection and work analysis to establish and update part fabrication ... and engineering design change. Contributes to the development of standards and related ...

Engineer II

Mcminnville, OR · On-site

$74K - $96K/yr

... data analysis tools Ability to use existing procedures to solve problems Ability to read and understand moderate to complex engineering drawings and specifications Working knowledge of geometric ...

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Showing results 1-20

Data Analytics Engineer information

See Salem, OR salary details

$44.7K

$130.4K

$178.4K

How much do data analytics engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for data analytics engineer in Salem, OR is $130,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $138,200.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What are the most commonly searched types of Data Analytics Engineer jobs in Salem, OR? The most popular types of Data Analytics Engineer jobs in Salem, OR are:
What job categories do people searching Data Analytics Engineer jobs in Salem, OR look for? The top searched job categories for Data Analytics Engineer jobs in Salem, OR are:
What cities near Salem, OR are hiring for Data Analytics Engineer jobs? Cities near Salem, OR with the most Data Analytics Engineer job openings:
Infographic showing various Data Analytics Engineer job openings in Salem, OR as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $130,370 per year, or $62.7 per hour.

$120K - $144K/yr

Full-time

Posted 28 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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