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Data Analytics Engineer Jobs in Oregon (NOW HIRING)

Data Engineer

$90K - $135K/yr

Conduct exploratory data analysis, identify patterns, trends, and outliers, and translate complex ... Collaborate with the engineering team to integrate analytical solutions into production systems.

Technical Architect - Data, Analytics & AI

Bend, OR · Hybrid

$67.50 - $87/hr

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

Senior Business Intelligence Analytics Engineer

OR · On-site +1

$51 - $66.25/hr

You'll bridge the gap between raw data from backend services and the decisions Jamf needs to make faster, working closely with data engineers, analysts, data scientists, and business stakeholders to ...

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 ...

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 · On-site

$250K - $421K/yr

Our team uses data for the consumer product security in two ways: 1) provide insights into ... We are looking for an analytics engineer to join our team to drive security metrics as well as data ...

Senior Data Analyst

OR · Remote

$85K - $108K/yr

ABOUT THE TEAM The Financial Data Analytics team is the connective tissue between Finance, Accounting, and Engineering. Our mission is to deliver trusted financial data that is both a foundation for ...

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 ...

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 ...

This role oversees data engineering, data modeling, reporting, dashboards, and analytics solutions that enable informed decision-making across the organization. The Director partners closely with ...

This role oversees data engineering, data modeling, reporting, dashboards, and analytics solutions that enable informed decision-making across the organization. The Director partners closely with ...

OR · On-site

$330K - $566K/yr

Our mission is to develop innovative, data-driven solutions that deliver highly relevant ad ... As a Senior Analytics Engineer, you'll design metrics, generate insights by scoping and executing ...

Collaborate with Product, Data engineering and AI vertical leaders within the Data & Analytics organization translating business needs to scalable data centric solutions A forward-thinking mindset to ...

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 ...

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Showing results 1-20

Data Analytics Engineer information

See Oregon salary details

$47K

$137.1K

$187.7K

How much do data analytics engineer jobs pay per year?

As of Jul 12, 2026, the average yearly pay for data analytics engineer in Oregon is $137,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $145,400.00 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.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

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.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

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 does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and systems to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in Oregon? The most popular types of Data Analytics Engineer jobs in Oregon are:
What cities in Oregon are hiring for Data Analytics Engineer jobs? Cities in Oregon with the most Data Analytics Engineer job openings:
Infographic showing various Data Analytics Engineer job openings in Oregon as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $137,147 per year, or $65.9 per hour.
Data Engineer

$90K - $135K/yr

Other

Posted 10 days ago


WellBe Senior Medical rating

7.2

Company rating: 7.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Job Summary

As a Data Engineer at Wellbe you will play a pivotal role in collecting, processing, and analyzing large datasets to derive meaningful business insights. You will collaborate with cross-functional teams, including data scientists and business analysts, to develop data pipelines, transform data and build enterprise data models. This position requires a blend of technical expertise, creativity, and a keen understanding of business processes. This role will be tasked with the design, development, and maintenance of software responsible for administering ELT transformations and quality processes to ensure the integrity of our data footprint within warehouse.

Job Description

SKILLS & COMPETENCIES

Design and develop ELT pipelines and transformations for publication of scalable warehouse integrations to be used for higher level analytics.Conduct exploratory data analysis, identify patterns, trends, and outliers, and translate complex data into actionable insights and visualizations.Develop and implement data models to support analytical solutions, ensuring scalability, efficiency, and accuracy.Work closely with data scientists, business analysts, and stakeholders to understand business requirements and translate them into analytical solutions. Collaborate with the engineering team to integrate analytical solutions into production systems.Monitor usage and performance of warehouse resources and implement creative solutions for improving performance and reducing costs of said resourcesStay updated with the latest technologies and trends in data analytics and engineering. Apply new tools and techniques to enhance the efficiency and effectiveness of data analysis processes.

Job Requirements

Required Skills and Abilities:

Evaluate and implement data integration technologies and tools to ensure seamless data flow and interoperability.Implement processes to monitor and improve data quality through regular data cleansing, validation, and enrichment activities.Work closely with analytics teams to define data requirements and create a data quality framework that supports advanced analytics, reporting, and visualization.Foster a data-driven culture by promoting the use of data insights to drive business decisions and innovation.Foster a collaborative and inclusive work environment that encourages knowledge-sharing and innovation.Advanced knowledge of Enterprise Reporting and Analysis tools, SQL, and visual analytic applications.Implement best practices for data governance and ensure data security and compliance.Fluency in SQL, DBT and Snowflake. Some development experience in at least one scripting language (Python, R, etc.) is a plus.Strong sense of ownership, bias for action, and driveStrong verbal and written communicationExcellent analytical and problem-solving skillsStrong work ethic and attention to detail

Educational/Experience Requirements:Bachelor's or advanced degree in Computer Science, Information Management, Data Science, or a related field. Master's degree preferred.5 years of experience in data and analytic engineering, with a track record of progressively increasing responsibilities.3 years of experience in health care and health plan data analysis experience preferred.Strong SQL database development, modeling, and querying skillsProficiency in using data processing frameworks (e.g., Snowpipe, Fivetran), databases (e.g. Snowflake, MSSQL) and GCP cloud.Experience with ETL tool such as SSIS, Talend, DataFlow, ADF or AWS Glue required.Snowflake data processing with Tasks and Procedures, DBT and GIT experience required.Experience building API data ingestion pipeline using Python in cloud service required.Knowledge of machine learning concepts and algorithms is a plusStrong leadership and team management skills, with the ability to motivate and develop team members.Excellent communication and interpersonal skills, with the ability to collaborate effectively across departments.

Physical and Mental RequirementsAbility to stand/sit for extended periods.Visual acuity and fine motor skills.Ability to travel as needed.

Work EnvironmentTravel may be required up to 15% locally or nationallyRemote

Pay Transparency

$90,000 - $135,000 based on experience 

Sponsorship StatementWellBe does not offer employment-based visa sponsorship for this position. Applicants must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.Pay Transparency StatementCompensation for this position will be disclosed in accordance with applicable state and local pay transparency laws.Drug Screening Requirement: As a condition of employment, WellBe Senior Medical requires all candidates to successfully complete a pre-employment drug screening. Ongoing employment may also be contingent upon compliance with the company's Drug-Free Workplace Policy, which includes random, post-accident, and reasonable suspicion drug testing. The company reserves the right to test for substances that may impair an employee's ability to safely and effectively perform their job duties.Background Check StatementEmployment is contingent upon successful completion of a background check, as permitted by law. As a healthcare organization, WellBe conducts monthly FACIS (Fraud and Abuse Control Information System) checks on all employees. Continued employment is contingent upon satisfactory results of these checks, in accordance with applicable laws and regulations.Equal Employment Opportunity (EEO) StatementWellBe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected status.Americans with Disabilities ActWellBe Senior Medical is committed to complying with the Americans with Disabilities Act (ADA) and applicable state and local laws. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the job. If you requirean accommodation during the application, interview or employment process, please contact Human Resources at HRPeopleLine@wellbe.comAt-Will Employment StatementEmployment with WellBe is at-will unless otherwise specified by contract. This job description does not constitute an employment contract.DisclaimerThis job description is intended to describe the general nature and level of work performed. It is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Management reserves the right to modify, add, or remove duties as necessary

Employment Type: OTHER

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