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Analytics Engineer Remote Dbt Jobs in Oregon (NOW HIRING)

Imagine Pediatrics

Business Intelligence Engineer

OR · On-site +1

$115K - $145K/yr

... to drive analyses and insights that lead to more informed decisions and improved business ... Design dbt models as reusable data products rather than one-off, dashboard-specific logic; check ...

Upstart

Staff Data Analyst, Servicing

OR · On-site +1

$61K - $81K/yr

Collaborate with analytics engineering and software engineering to continuously up-level our ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Inroads

Senior Associate, Analytics

OR · On-site +1

Positioned between data engineering and data analysis, this role utilizes SQL and dbt to build robust data pipelines, implement data quality testing, and maintain the foundational data models used ...

Upstart

Senior Software Engineer - Capital Insights

OR · On-site +1

$122K - $161K/yr

Hands-on experience with data pipelines or analytical data stores, such as Airflow, Spark, dbt ... Remote Time zone requirements The team operates on the East/West coast time zones. Travel ...

TEKsystems

Developer

Portland, OR · On-site +1

$40 - $45/hr

Remote Work Eligibility Onsite Skills etl, api, pub/sub, dbt, SQL, ELT/ETL, Cloud environments (AWS ... ● Analyze complex data structures, identify system issues, and implement solutions. ● ...

EM Key Solutions Inc

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:

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Analytics Engineer Remote Dbt information

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis by building robust and scalable data models, often using tools like dbt (data build tool). In a remote setting, they are responsible for transforming raw data into well-structured datasets that analysts and business users can trust, collaborating with teams via digital communication tools. Their work includes writing SQL code, maintaining data pipelines, documenting data models, and ensuring data quality and consistency. Using dbt, Analytics Engineers automate and manage data transformations, making it easier for organizations to analyze their data efficiently.

How does an analytics engineer working remotely with dbt typically collaborate with data analysts and other stakeholders?

Remote Analytics Engineers utilizing dbt often collaborate closely with data analysts, data scientists, and business stakeholders through virtual meetings, shared documentation, and version-controlled code repositories. They translate business requirements into data models, ensure data quality, and maintain data transformation pipelines. Regular syncs and agile ceremonies, like sprint planning and retrospectives, help keep communication clear and priorities aligned, while tools like Slack, Jira, and GitHub streamline collaboration across distributed teams.

What are the key skills and qualifications needed to thrive as a remote analytics engineer specializing in dbt?

To excel as a Remote Analytics Engineer focusing on dbt, you need strong SQL skills, data modeling expertise, and a background in analytics or computer science. Proficiency in dbt (data build tool), cloud data warehouses like Snowflake or BigQuery, and experience with version control systems such as Git are typically required. Outstanding problem-solving, communication, and collaboration skills make candidates stand out in remote and cross-functional environments. These competencies ensure efficient data pipeline development, reliable analytics solutions, and effective teamwork, which are crucial for delivering high-quality insights remotely.

What is the difference between Analytics Engineer Remote Dbt vs Data Engineer?

AspectAnalytics Engineer Remote DbtData Engineer
CredentialsSQL, Python, cloud platforms, Dbt certificationsSQL, Python, cloud platforms, data architecture certifications
Work EnvironmentRemote, collaborative with data teams, focus on analytics and data modelingOn-site or remote, infrastructure and pipeline development, focus on data systems
Industry UsageTech, finance, e-commerce, marketingTech, finance, healthcare, telecom

Analytics Engineer Remote Dbt professionals focus on building and maintaining data models using tools like Dbt, primarily supporting analytics and business insights. Data Engineers develop and manage data pipelines and infrastructure, often working on larger data systems. While both roles require SQL and cloud experience, Analytics Engineers emphasize data modeling and analytics, whereas Data Engineers focus on data architecture and pipeline development.

What are popular job titles related to Analytics Engineer Remote Dbt jobs in Oregon?

For Analytics Engineer Remote Dbt jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Analytics Engineer Remote Dbt jobs in Oregon look for?

The top searched job categories for Analytics Engineer Remote Dbt jobs in Oregon are:

What cities in Oregon are hiring for Analytics Engineer Remote Dbt jobs?

Cities in Oregon with the most Analytics Engineer Remote Dbt job openings:

Analytics Engineer Remote Dbt jobs near you
Infographic showing various Analytics Engineer Remote Dbt job openings in Oregon as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Lead, Solutions Architect - Data Analytics Engineering

Under Armour

OR • On-site, Remote

Full-time

Medical, Retirement

Re-posted 10 days ago

Key responsibilities

  • Design and govern scalable ELT architectures, including advanced dbt modeling frameworks.

  • Lead the development of large, complex data pipelines, automation workflows, and decision intelligence solutions.

  • Own the end to end lifecycle of enterprise grade decision products used across functions.

Under Armour rating

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

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 seasoned Lead Solutions Architect, Data Analytics Engineering, to govern, and deliver modern data and analytics platforms that power strategic decision-making across the organization.
This role plays a critical part as a technical lead within EDMA responsible for architecting enterprise scale data products, defining engineering and modeling standards, and driving modernization across the Data Analytics/Decision Products ecosystem. This role leads complex cross functional programs, establishes Data Engineering best practices, and partners closely with Data Engineering, Automation & AI, Analysts, and Data Governance leadership to shape the roadmap and technical direction. As a hands on technical authority, lead engineers high performance ELT architectures, oversees CI/CD and production reliability, and mentors engineering talent across squads.
Your Impact
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
Enterprise Data Architecture & Engineering Leadership
  • Design and govern scalable ELT architectures, including advanced dbt modeling frameworks.
  • Lead the development of large, complex data pipelines, automation workflows, and decision intelligence solutions.
  • Own the end to end lifecycle of enterprise grade decision products used across functions.
  • Define and enforce architecture standards, modeling patterns, semantic layer principles, and engineering best practices.
  • Drive data platform modernization efforts, including migration, optimization, and adoption of emerging technologies.

Snowflake & Data Platform Excellence
  • Serve as the technical authority on Snowflake performance tuning, VWH optimization, RBAC frameworks, query efficiency, and cost engineering.
  • Lead modeling patterns, data sharing strategies, and enterprise semantic layer design.

Quality, CI/CD & Operational Reliability
  • Own significant components of the CI/CD pipeline, ensuring high reliability, automated testing, and governance.
  • Establish DataOps best practices across squads, including observability, monitoring, alerting, and versioning standards.
  • Oversee release management, change management processes, and production stability for decision products.

Leadership, Mentorship & Cross Functional Influence
  • Mentor junior level engineers; drive engineering maturity through code reviews, design reviews, and technical coaching.
  • Facilitate complex stakeholder sessions to align business requirements, architecture decisions, and delivery plans.
  • Lead cross functional data programs spanning Product, Platform, Automation, AI, Governance, and Analytics.
  • Partners with Product & Engineering lead to shape roadmap priorities, standards, and long term technical vision.
  • Deliver executive level presentations on architecture decisions, design tradeoffs, and product strategies.

Automation & AI Enablement
  • Build or integrate advanced automation frameworks supporting high scale operational workflows.
  • Apply Generative AI to streamline development, improve design standards, and scale repeatable engineering patterns.

Qualifications
  • Expert SQL abilities with mastery in complex data transformation and optimization techniques.
  • Deep expertise in data modeling, ELT architecture, and enterprise data ecosystems.
  • Proven ability to design and lead scalable data apps, automation pipelines, and decision intelligence solutions.
  • Strong proficiency with Tableau or similar analytics platforms.
  • Production level dbt expertise (modularity, testing, documentation, governance).
  • Strong background in CI/CD engineering, release management, and DevOps integration.
  • Advanced Snowflake engineering skills: VWH tuning, RBAC, cost/performance engineering, workload optimization, semantic layer design.
  • Advanced Python for automation, orchestration, and workflow engineering.
  • Experience with automation platforms such as Elementum.
  • Strong architectural influence, cross functional communication, and engineering leadership.
  • Ability to leverage Generative AI tools responsibly to improve engineering productivity and design quality.
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related technical field.
  • 7+ years in Data Engineering, Analytics Engineering, or Decision product development.
  • 6+ Years of Snowflake experience (VWH optimization, RBAC, cost/performance engineering, semantic layer design).
  • 5+ Years of experience in DBT or similar data transformation/data orchestration tool.
  • 5+ Years of experience with Tableau, Power BI or similar analytics platforms.
  • 5+ Years of experience & strong background in CI/CD engineering best practice.
  • Preferred: Professional dbt/Snowflake certifications; SAP ERP domain knowledge.

Workplace Location
  • Location: This individual must reside within commuting distance from our Baltimore HQ office.
  • Work Schedule: Candidates must reside within a commutable distance to our corporate headquarters in Baltimore, Maryland, as periodic on-site attendance may be required
  • Travel: 5% of the year
  • 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.
Requisition ID: 166626
Location:

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