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Senior Data Analytics Engineer Jobs in Oregon (NOW HIRING)

Under Armour

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within ... Project Lead, Senior Software Engineer, Software Engineer, etc.). * 2 years of experience ...

US Bank

Infrastructure Data Analytics Engineer

Gresham, OR

$121K - $145K/yr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This ...

ICI Services

Our diverse team of acquisition experts, financial analysts, engineers, logisticians, IT ... Senior Data Scientist must have knowledge of and access to program datasets and broader information ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

You'll join our Analytics Engineering team and partner with data owners and users to build, problem-solve, and optimize the data structures other teams rely on. We hire people, not positions. That ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

You'll join our Analytics Engineering team and partner with data owners and users to build, problem-solve, and optimize the data structures other teams rely on. We hire people, not positions. That ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

You'll join our Analytics Engineering team and partner with data owners and users to build, problem-solve, and optimize the data structures other teams rely on. We hire people, not positions. That ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

You'll join our Analytics Engineering team and partner with data owners and users to build, problem-solve, and optimize the data structures other teams rely on. We hire people, not positions. That ...

Consensus Cloud Solutions

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 ... Analytics Engineering & BI: Experience with modern data stacks including cloud-based databases.

Pantheon Systems, Inc

Senior Analytics Engineer

OR · On-site +1

$135K - $188K/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 ...

NinjaTrader

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 ... As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team ...

ICI Services

$85K - $108K/yr

Experience with Navy Data Analytics tools. * DoD/DoN procedures and Policies (DoD 5000 process ... Bachelor's degree in Math, Science, Engineering, or related field. EOE/M/F/ Disability/Vet VEVRAA ...

Instacart

Senior Data Scientist

OR · On-site +1

Own analytical frameworks that guide the product roadmap. * Design rigorous experiments and ... Engineering) at a senior level. * MS/PhD in Statistics, Economics, Applied Mathematics, or a ...

AmeriSave Mortgage Corp.

$100K - $136K/yr

The Senior Data Engineer will report directly to the Senior Vice President of Enterprise ... Architect scalable ETL/ELT pipelines to efficiently transform raw data into structured, analytics ...

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All JobsData Analytics Engineer JobsSenior Data Analytics Engineer JobsSenior Data Analytics Engineer Jobs in Oregon

Senior Data Analytics Engineer information

See Oregon salary details

$85.6K

$133.6K

$185K

How much do senior data analytics engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for senior data analytics engineer in Oregon is $133,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $152,200.00 per year, depending on experience, location, and employer.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

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

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

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

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

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 are popular job titles related to Senior Data Analytics Engineer jobs in Oregon?

For Senior Data Analytics Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Senior Data Analytics Engineer jobs in Oregon look for?

The top searched job categories for Senior Data Analytics Engineer jobs in Oregon are:

What cities in Oregon are hiring for Senior Data Analytics Engineer jobs?

Cities in Oregon with the most Senior Data Analytics Engineer job openings:

Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $133,565 per year, or $64.2 per hour.

Sr. Data Analytics Engineer

OR • On-site, Remote

Under Armour
Retail • 10K+ employees

6.9

Company rating: 6.9 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

23rd of 104 rated fashion retailers

People enjoy working here

Recommended by students

Recommended by parents

Learn more about Under Armourexternal

$107K - $128K/yr

Full-time

Medical, Retirement

Re-posted 7 days ago

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.
Requisition ID: 166263
Location:

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