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Director Data Engineer Jobs in Portland, OR (NOW HIRING)

Weir Group

Data Analyst

Portland, OR

You'll apply your skills to deliver results that matter whether that's through engineering ... Act as the key interface between business stakeholders (including director level and above) and ...

Weir

Data Analyst

Portland, OR · On-site

You'll apply your skills to deliver results that matter whether that's through engineering ... Act as the key interface between business stakeholders (including director level and above) and ...

Columbia

Principal Data Scientist

Portland, OR

This role will have opportunities to engage across the organization with an area of focus in Direct ... Collaborate with Data Engineers to validate source data and develop data pipelines that feed into ...

Nike

Senior Data Scientist

Beaverton, OR · On-site

... Director of Data Science. As a Senior Data Scientist, you will collaborate closely with various global teams and stakeholders, including data science leads and peers, data engineers, software ...

Nike

Director, Software Engineering

Beaverton, OR · On-site

$263K/yr

The Director of Engineering will lead, support and develop team members, manage priorities and ... Ability to create technical architecture diagrams, API specifications, data models, engineering ...

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Showing results 21-40

All JobsData Engineer JobsDirector Data Engineer JobsDirector Data Engineer Jobs in Portland, OR

Director Data Engineer information

See Portland, OR salary details

$54.6K

$156.4K

$208.9K

How much do director data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for director data engineer in Portland, OR is $156,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,100.00 and $207,900.00 per year, depending on experience, location, and employer.

What does a director data engineer do?

A Director Data Engineer leads teams responsible for designing, building, and maintaining large-scale data architectures and infrastructure within an organization. They oversee data engineering projects, establish data management best practices, and ensure data systems are scalable, secure, and reliable. Additionally, they collaborate with other departments, such as analytics and IT, to align data strategies with business goals while mentoring and managing junior engineers.

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

To thrive as a Director Data Engineer, you need advanced expertise in data architecture, data modeling, and large-scale data processing, typically backed by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), big data tools (like Hadoop, Spark), and relevant certifications (e.g., Google Cloud Certified - Professional Data Engineer) is critical. Strong leadership, strategic thinking, and effective communication skills set top performers apart in this role. These abilities are vital for designing robust data solutions, leading high-performing teams, and aligning data initiatives with organizational goals.

How does a director data engineer typically collaborate with other departments to drive business objectives?

A Director Data Engineer works closely with cross-functional teams such as product management, analytics, and IT to align data infrastructure and engineering strategies with overall business goals. They facilitate communication between data engineering teams and key stakeholders, ensuring that data solutions address real business needs and support decision-making. This role often involves leading meetings, prioritizing projects based on cross-departmental feedback, and translating technical requirements into actionable plans for their teams. Effective collaboration is essential for delivering scalable, high-impact data solutions across the organization.

How much does a director data engineer make in the US?

A director data engineer in the US typically earns between $130,000 and $180,000 annually, with salaries varying based on experience, location, and company size. They often oversee data teams, manage large-scale data infrastructure, and require expertise in tools like SQL, Python, and cloud platforms.

What are the most commonly searched types of Data Engineer jobs in Portland, OR?

The most popular types of Data Engineer jobs in Portland, OR are:

What are popular job titles related to Director Data Engineer jobs in Portland, OR?

For Director Data Engineer jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Director Data Engineer jobs in Portland, OR look for?

The top searched job categories for Director Data Engineer jobs in Portland, OR are:

What cities near Portland, OR are hiring for Director Data Engineer jobs?

Cities near Portland, OR with the most Director Data Engineer job openings:

Director Data Engineer jobs near you
Infographic showing various Director Data Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $156,383 per year, or $75.2 per hour.

Principal Data Scientist

Columbia Sportswear Company

Portland, OR • On-site

$100 - $130/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Columbia Sportswear rating

7.0

Company rating: 7.0 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

18th of 104 rated fashion retailers

Job description

Location: Hybrid role based out of headquarters near Portland, Oregon. Employees are expected to work onsite four days per week, with the possibility of adjustments based on business needs.

About the Position

The Principal Data Scientist is a member of the Data & Analytics (D&A) team within Columbia Sportswear’s Digital Technology group. This role supports the delivery of innovative analytical solutions to address strategic challenges and opportunities across the organization, with a focus on Direct-to-Consumer initiatives.

Responsibilities
  • Design and build scalable models that leverage best‑in‑class statistical and machine‑learning techniques for integration into analytics workflows across the business.
  • Collaborate with D&A teammates and business partners to translate business requirements into advanced analytics solutions.
  • Conduct exploratory data analyses and data mining to uncover underlying patterns, trends, and behaviors, highlighting opportunities that drive improved business performance across brands, regions, and channels.
  • Audit existing analytical processes and provide guidance on implementing advanced machine‑learning capabilities according to industry standards.
  • Under minimal supervision, establish and execute plans to build, implement, and maintain predictive models using available tools and programming languages, managing the full project lifecycle.
  • Collaborate with Data Engineers to validate source data and develop data pipelines that feed into machine‑learning workflows.
  • Translate analytical findings and statistical models into business impact metrics and actionable recommendations.
  • Drive best practices for applying and deploying Data Science at scale within the organization.
Qualifications
  • Minimum Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field; a graduate degree is strongly preferred.
  • Minimum 3 years of experience as a Data Scientist, Statistician, or in a comparable role.
  • Hands‑on quantitative experience in data mining, predictive modeling, machine learning, and statistical programming with structured and unstructured data.
  • Demonstrated capability in rapid prototyping and developing end‑to‑end solutions using complex algorithms.
  • Broad understanding of core statistical and machine‑learning techniques.
  • High proficiency in SQL and at least one statistical programming language (e.g., R, Python, SAS).
  • Proficiency in data visualization tools; Power BI preferred.
  • Experience with the Microsoft Stack is preferred.
  • Strong communication skills—both written and verbal—with the ability to work across cross‑functional teams, including IT, and manage partner expectations.
Benefits
  • 401(k) plan with generous company match.
  • Comprehensive medical, dental, vision, and life insurance; disability and flexible spending accounts; health savings account.
  • Voluntary benefits including accident, critical illness, and hospital indemnity coverages.
  • Employee Assistance Program (EAP) providing free, confidential 24/7 counseling services.
  • Extensive wellness programs, employee discounts, and generous paid time off.
  • Opportunity to attend and support company-owned outdoor events and initiatives.
EEO Statement

Columbia Sportswear Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Columbia Sportswear is committed to working with and providing reasonable accommodation for individuals with disabilities. For additional information, consult EEOC Guidelines and notify your recruiter if you require an accommodation during the application process.

Contact for Accommodations

If you need an accommodation or adjustment to successfully complete the application, please contact AskHR@columbia.com with the subject: "Applicant Assistance Requested."

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What Columbia Sportswear employees say

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About Columbia Sportswear

Sourced by ZipRecruiter

Columbia Sportswear Company and our portfolio of brands, including Columbia, SOREL, Mountain Hardwear and prAna, know a thing or two about adventures. After all, we've been on one since 1938, working to perfect the art of enjoying the outdoors. Behind everything we make is an employee who's found that the greatest adventure starts with joining a company that strives to do the right thing.

Industry

Apparel and accessories stores

Company size

5,001 - 10,000 Employees

Headquarters location

Portland, OR, US

Year founded

1938

Social media

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