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Data Analytics Engineer Jobs in Oregon (NOW HIRING)

Sr. Data Analytics Engineer

OR · On-site

$107K - $128K/yr

Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within Enterprise Data. Management Organization to help define, develop and implement solutions and provide ...

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within Enterprise Data. Management Organization to help define, develop and implement solutions and provide ...

Transform data into well-documented, tested, and trusted datasets for analysis and reporting ... Ability to work effectively with data analysts, engineers, and business stakeholders to understand ...

Partner with data engineering and analytics engineering to design and deliver a medallion data architecture (bronze, silver and gold layers) on the enterprise data lake - from raw ingestion through ...

New

Analytics Engineering * Own FuzeRx's data transformation logic by taking raw data inputs and converting them into scalable, reusable data assets that drive business decisions and insights.

Required : • Bachelor's Degree in Computer Science, Data Science, Information Systems, Business Analytics, Engineering, or related discipline required. • Minimum twelve (12) years of progressive ...

Required : • Bachelor's Degree in Computer Science, Data Science, Information Systems, Business Analytics, Engineering, or related discipline required. • Minimum twelve (12) years of progressive ...

OR · On-site

$135K - $225K/yr

The Role Senior Analytics Engineer The Analytics Engineering team owns how Pantheon's data becomes trusted, self-serve insight - from the data models built on our raw source tables to the semantic ...

New

Master's degree in Engineering, Computer Science, Data Analytics, or a related field * 0-3 years of ... experience in data analysis, engineering, or a related technical role (new graduates encouraged to ...

You'll own the data models, transformation layer, and semantic foundation that power business decision-making, while building and mentoring a high-performing team of analytics engineers. This role ...

OR · On-site

$167K - $249K/yr

Address data quality issues and build in alerting * Partner with data science, finance & strategy, marketing, sales, product, and engineering on analytics engineering strategy to enable data-driven ...

OR · On-site

$330K - $566K/yr

Data Science and Engineering ('DSE') at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. We are looking for ...

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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.
Sr. Data Analytics Engineer

Sr. Data Analytics Engineer

Under Armour, Inc.

OR • On-site

$107K - $128K/yr

Other

Medical, Retirement

Posted 29 days ago


Under Armour rating

6.9

Company rating: 6.9 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

20th of 104 rated fashion retailers


Job description

Values & Innovation

At Under Armour, we are committed to empowering those who strive for more, and the company's values - Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes and Stand for Equality - serve as both a roadmap for our teams and the qualities expected of every teammate.

Our Values define and unite us, the beliefs that are the red thread that connects everyone at Under Armour. Our values are rallying cries, reminding us why we're here, and fueling everything we do.

Our pursuit of better begins with innovation and with our team's mission of being the best. With us, you get the freedom to go further - no matter your role. That means developing, delivering, and selling the state-of-the-art products and digital tools that make top performers even better.

If you are a current Under Armour teammate, apply to this position on the Internal Career Site Here. 

Purpose of Role
  • Provide quality and performant data modeling and visualizations solutions to our cross functional business units which represent the mantra, "Business First; Technology Second."
  • As part of a results-oriented team, participate in the design, implementation, maintenance and support of our modernized data platform to enable the business to make better, more informed decisions.
  • Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within Enterprise Data. Management Organization to help define, develop and implement solutions and provide services for the enterprise applications.
  • Model, design, develop, test and implement the appropriate backend and front-end structures needed to meet business visualization and reporting requirements.
  • Leverage industry-leading integration and analytics tools to build a modern data warehouse that is accurate, reliable, high performing and easily accessible to our business departments.
  • Build dashboard to follow wireframes designs, integrate with backend data models. Build aggregate data models. Manage the data flow to reflect in dashboards to meet business requirements.
  • Data formatting and processing to build the foundation layer for dashboards and self-service reporting. Work on data transformation, using the ETL tools. Build dimension views and fact tables.
  • Interact with the client business community to gather/develop functional and technical requirements and translate them into reporting solutions.
  • Responsible for the full life cycle of development, from requirements gathering through data transformation coding and report/dashboard design and creation.
  • Follow development standards in accordance with UA best practices.
  • Work with Enterprise Data Analysts team to clarify functional requirements and create the TSD's.
  • Data formatting and processing to build the foundation layer for dashboards and self-service reporting.
  • Troubleshoot data anomalies with engineering teams.
  • Work on data transformation, using the ETL tools. Build dimension views and fact tables.
  • Responsible for daily support of the data warehouse and associated data marts.
  • Coordinate with Data Platform Engineering team, Enterprise Data Analyst Team, Data Governance Team, and IT. Teams to align with change management processes and to ensure performance, processes and access is optimal for our global reporting solutions.
  • Work collaboratively to align business requirements with reporting and analytical solutions.
  • Improve processes regarding data flow and quality to improve data accuracy, viability and value.
  • Document development for peer reference and knowledge transfer.
  • Interact with the client business community to gather/develop functional and technical requirements and translate them into visualization solutions.
  • Educate and empower the business community towards self-serve reporting model.
  • Other duties as assigned within area of responsibility.
Qualifications

Bachelor's degree in Computer Science, Computer Engineering, Information Systems or related technical field. Followed by 5 years of progressively responsible experience in a Software Engineering role (e.g. Project Lead, Senior Software Engineer, Software Engineer, etc.).

  • 2 years of experience developing and supporting the SAP HANA, Business Objects, and SAC platform stack to ensure performance, process, access is optimal for the global reporting solution.
  • 2 years of experience in Technical design of Data Modelling for SAC Analytics to Support the ongoing Business requirements formulation process for Enterprise Business Analytics operations.
  • 3 years of experience in design and development of analytical queries, reports and visualizations utilizing the Tableau Platform.
  • 2 years of Experience with dbt as a data orchestration tool.
  • 2 years of experience working in CICD framework.
  • 2 years of experience with Snowflake VWH and data modeling.
  • Demonstrated knowledge* of:
    • HVR replication for data ingestion.
    • Python and Java programming.
    • Fundamental data architecture and design.
    • SQL and strong data transformation.

*Knowledge may be demonstrated through education, training and/or experience

Workplace Location
  • Location: Up to 100% Remote; position may be performed from anywhere in the US + Up to 10% domestic and international travel     

Sponsorship Eligibility: (US ONLY) UA does not offer sponsorship of job applicants for employment-based work authorization for this position at this time.

Relocation
  • No relocation provided
Base Compensation

$165,564.00 to $188,089.20 per year

Most new hires fall within this range and have the opportunity to earn more over time. Initial placement within the salary range, however, is based on an individual's relevant knowledge, skills and experience for the position. UA is committed to helping our teammates succeed and advance in their careers. Base salary is only one component of our competitive Total Rewards package.

Benefits & Perks
  • Paid "UA Give Back" Volunteer Days: Work alongside your team to support initiatives in your local community
  • Under Armour Merchandise Discounts
  • Competitive 401(k) plan matching
  • Maternity and Parental Leave for eligible and FMLA-eligible teammates
  • Health & fitness benefits, discounts and resources- We offer teammates across the country programs to promote physical activity and overall well-being
Our Commitment to Equal Opportunity

At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law. Under Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. If a reasonable accommodation is needed to participate in the job application or interview process, please contact our Human Resources team via candidateaccommodations@underarmour.com.


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