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Analytics Engineer Jobs in Remote, OR (NOW HIRING)

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

$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

$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 ...

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Telecom Implementation Engineer

OR · Remote

$40 - $45/hr

Remote The Main Responsibilities · Proficient with OTDR testing and results analysis, EXFO ... engineering, or network planning or equivalent. · Knowledgeable and able to work in appropriate ...

New

Sr Substation Engineer

Myrtle Point, OR

$92K - $117K/yr

Substation physical design including overall engineering and analysis for new switchyards and substations, additions and modifications. * Prepare specifications and provide procurement support

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 ...

Infrastructure Engineer

OR · Remote

$100K - $200K/yr

Lead the in-depth analysis of microservices and web service architectures, tackle performance ... B.S. in Computer Science, Engineering, or a related field. * Core: Extensive experience in ...

AI Engineer

OR · On-site +1

AI Engineer Remote, USA; potential for minimal ad hoc travel EMKS is seeking an AI Engineer to ... Strong analytical, communication, and problem-solving skills. Preferred Qualifications:

Develop intelligent automation solutions for test case generation, defect analysis, knowledge ... Collaborate with architects, engineers, testers, and business stakeholders to identify and ...

AI Engineer Temporary Assignment (through 2/13/2027) Remote, USA; potential for minimal ad hoc ... Strong analytical, communication, and problem-solving skills. Preferred Qualifications:

Sr Lead Site Reliability Engineer

OR · Remote

$53.50 - $71/hr

From proactive analysis, faster response, automatic remediation, AI guided analysis, partially ... Champion SRE principles such as SLIs, SLOs, and error budgets. * Advocate for resilient ...

Lead Site Reliability Engineer

OR · Remote

$53.50 - $71/hr

Lead root cause analysis and post-mortem processes, incorporating AI-assisted analysis and pattern ... Champion SRE principles such as SLIs, SLOs, and error budgets. * Advocate for resilient ...

Nuclear Engineer

Sutherlin, OR

$97K - $116K/yr

Job Title: Nuclear Engineer (Naval Reactors Engineer) Category / Component: Officer • Active ... in an analytical and oversight role rather than operating plants at sea; balance long term ...

Senior Field Applications Engineer

OR · Hybrid

$85K - $120K/yr

These analysis, measurement and control products are essential for gas leak detection in air ... The Field Applications Engineer (FAE) is the core technical role of INFICON's Applications ...

Nuclear Engineer

Lakeside, OR

$92K - $111K/yr

Job Title: Nuclear Engineer (Naval Reactors Engineer) Category / Component: Officer • Active ... in an analytical and oversight role rather than operating plants at sea; balance long term ...

Nuclear Engineer

Coquille, OR

$104K - $125K/yr

Job Title: Nuclear Engineer (Naval Reactors Engineer) Category / Component: Officer • Active ... in an analytical and oversight role rather than operating plants at sea; balance long term ...

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Analytics Engineer information

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

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

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are popular job titles related to Analytics Engineer jobs in Remote, OR? For Analytics Engineer jobs in Remote, OR, the most frequently searched job titles are:
What cities near Remote, OR are hiring for Analytics Engineer jobs? Cities near Remote, OR with the most Analytics Engineer job openings:
Infographic showing various Analytics Engineer job openings in Remote, OR as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 76% In-person, and 24% Remote job distribution.

Sr. Data Analytics Engineer

Under Armour, Inc.

OR • On-site, Remote

$125K - $165K/yr

Other

Medical, Retirement

Re-posted 25 days ago


Under Armour rating

6.9

Company rating: 6.9 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

21st 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

Under Armour is seeking a highly motivated Sr. Data Analytics Engineer to join our Enterprise Data Management & Analytics team. This role plays a key part in enabling decision intelligence by building scalable data transformation frameworks and data products. 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 lead complex programs, mentor junior engineers, and influence architectural direction across product decision teams. Partnering with Analytics, Automation & AI, and Governance teams, you will deliver trusted data products that drive smarter, faster decisions. 

Your Impact

Data Engineering & Architecture:

  • Lead data model design, semantic layer definition, and scalable ELT architecture.  
  • Design and deliver advanced data models, automation workflows, and decision-intelligence solutions.  
  • Build high-quality analytical datasets and visualization-optimized data structures.  

Quality, CI/CD & Operational Excellence:

  • Own CI/CD deployment pipelines and release management processes.  
  • Drive engineering best practices include testing, observability, modular modeling, and documentation.  
  • Optimize Snowflake warehouse performance, cost efficiency, RBAC, and semantic layer design.  
  • Lead root-cause analysis and long-term fixes for complex data issues.  

Leadership & Collaboration: 

  • Mentor junior engineers and uplift engineering maturity across squads.  
  • Facilitate stakeholder sessions to translate business requirements into scalable data products.  
  • Influence architectural decisions and emerging-technology adoption.  
  • Partners across EDMA, AI/Automation, Platform, and Governance teams.  
  • Responsible for on-call support and proactive monitoring of the EDMA platform to ensure seamless production operations and support for teams across all regions. 

AI Enablement:

  • Apply Generative AI tools to streamline development workflows and enhance product quality.  
  • Contribute to the design of AI-enabled automation solutions.  
Qualifications
  • Bachelor's degree with typically 5 years of relevant experience or Master's degree with typically 3 years of relevant experience or typically 9 years of relevant work experience without a degree.  
  • Expert SQL abilities with mastery in complex data transformation patterns.  
  • Deep expertise in data modeling, ELT design, and enterprise data architecture.  
  • Proven ability to design scalable data apps, automation pipelines, and decision-intelligence solutions.  
  • 4+ Years of experience with Tableau or similar analytics platforms.  
  • 5+ Years of dbt experience (modular modeling, testing, documentation, governance) or equivalent.  
  • 2+ Years of experience & strong background in CI/CD engineering best practice.  
  • 5+ Years of Snowflake experience (VWH optimization, RBAC, cost/performance engineering, semantic layer design).  
  • Advanced Python for automation, orchestration, and engineering workflows.  
  • Working knowledge of automation tools (e.g., Elementum).  
  • Strong capability to influence architecture, mentor peers, and drive emerging technology adoption.  
  • Generative AI applies responsibly to accelerate development and improve quality.  
  • Experience with AI Coding Assistants (e.g. GitHub Copilot, Claude, Cursor, Cortex Code).
  • Skilled at bridging the gap between technical depth and business clarity through impactful communication. 
Workplace Location
  • Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross-functional teams)    
  • Work Schedule: Fully Remote 
  • Travel: Minimal
  • Licenses/Certifications: N/A
  • Sponsorship Eligibility: UA does not offer sponsorship of job applicants for employment-based work authorization for this position at this time.

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Relocation
  • No relocation provided
Base Compensation

 $125,000.00-$165,000.00 USD

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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