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Director Data Engineering Jobs in Oregon (NOW HIRING)

Lead Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Reporting to the Engineering Director, this team partners with data scientists, engineers, analysts, and product managers to build a cross-capability data foundation and a semantic layer that powers ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Direct the team through complexity, demonstrating composure through ambiguous, challenging and ...

We're looking for a Director, Analytics Engineering to help in shaping the data infrastructure ... This role bridges the gap between data engineering and insights, enabling data-driven strategies ...

What We Need The Director, Revenue Strategy, Data & Analytics is the business's "brain trust ... Partner with data engineering and BI to operationalize these models directly into seller and CSM ...

About the Role We're looking for a Director of Business Analytics Engineering to lead and grow the ... You'll own the data models, transformation layer, and semantic foundation that power business ...

Data Engineer

OR · On-site +1

$120K - $150K/yr

Collaborate with the DIM TL and Director of Operations on the data roadmap and architectural decisions At Fieldwire, we're looking for our next Data Engineer to have the following skills and ...

Senior/Principal Data Engineer

OR · On-site +1

$125K - $172K/yr

You will report to data engineering leadership and setting the technical direction for our clinical ... Comfort operating as a principal IC with broad influence and without direct reports-shaping ...

Software Engineer II - Data Platform

OR · On-site +1

$114K - $137K/yr

An understanding of the direct or indirect business value of their work, ensuring that data ... Software Engineering Foundations: * Version Control: Proficiency with Git workflows, code review ...

The role works in partnership with Internal IT, Data Engineering, Information Security, Business ... Ability to influence and establish standards across teams without direct authority. * Excellent ...

Director, Software Engineering - Code Data

OR · On-site +1

$252K/yr

Reporting to the Senior Vice President of Product Engineering, the Director, Content Engineering is ... Bring deep domain expertise and hands on experience with Software Engineering, Data products, AI in ...

New

... engineering, prompt structure and design, and composite model definitions and evaluations. The ... As an expert in the leading edge of AI and data science, you will direct the team on the ...

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 ...

Showing results 21-40

Director Data Engineering information

See Oregon salary details

$77.2K

$205.9K

$268.6K

How much do director data engineering jobs pay per year?

As of Aug 22, 2026, the average yearly pay for director data engineering in Oregon is $205,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,600.00 and $267,500.00 per year, depending on experience, location, and employer.

What does a director of data engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive as a director of data engineering?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

What are some common challenges faced by a director of data engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

What are the most commonly searched types of Data Engineering jobs in Oregon?

The most popular types of Data Engineering jobs in Oregon are:

What are popular job titles related to Director Data Engineering jobs in Oregon?

For Director Data Engineering jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Director Data Engineering jobs in Oregon look for?

The top searched job categories for Director Data Engineering jobs in Oregon are:

What cities in Oregon are hiring for Director Data Engineering jobs?

Cities in Oregon with the most Director Data Engineering job openings:

Infographic showing various Director Data Engineering 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 $205,863 per year, or $99 per hour.

Lead Data Engineer

Nike

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Re-posted 10 hours ago


Nike rating

7.6

Company rating: 7.6 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

7th of 104 rated fashion retailers


Job description

LEAD, DATA ENGINEER - NIKE
[Beaverton, OR - USA]
WHO YOU'LL WORK WITH
Consumer Product and Innovation (CP&I) Data and Analytics Engineering sits at the intersection of product innovation and enterprise data strategy at Nike. Reporting to the Engineering Director, this team partners with data scientists, engineers, analysts, and product managers to build a cross-capability data foundation and a semantic layer that powers Advanced Analytics, Business Intelligence, and AI solutions driving business growth.
WHO WE ARE LOOKING FOR
We're looking for a Lead Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions within Nike's CP&I organization. This role drives the development of robust data products that support Business Intelligence and AI initiatives across the business. The candidate will lead technical design and development while mentoring junior engineers and setting standards for data governance, performance, and engineering excellence.
We're seeking someone with deep expertise in distributed data processing and cloud-based data platforms who can translate complex business requirements into reliable, production-grade solutions. The ideal candidate brings strong leadership instincts, excels in cross-functional collaboration, and communicates technical concepts clearly to both engineering peers and non-technical stakeholders. Success in this role requires a builder's mindset, a commitment to continuous improvement, and the ability to thrive in a fast-paced environment where data directly fuels innovation and growth.
  • Bachelor's degree or equivalent combination of education, experience, or training
  • 8+ years of experience as a Data Engineer with strong expertise in Databricks, PySpark, SQL, and Apache Spark
  • Hands-on experience with the Databricks Lakehouse Platform, Medallion architecture, Delta Lake, and AWS data services (S3, RDS)
  • Proven experience leading and mentoring data engineering teams, with strong skills in CI/CD, Git, and DevOps practices
  • Experience with data modeling, ETL/ELT processes, real-time data processing frameworks (Kafka, Kinesis, or similar), and cross-functional stakeholder communication

Preferred qualifications:
  • Knowledge of Generative AI and Machine Learning pipelines and integrating them into production environments
  • Databricks certification (e.g., Databricks Certified Data Engineer or Databricks Certified Developer for Apache Spark)

WHAT YOU'LL WORK ON
You'll be at the forefront of building Nike's data foundation and semantic layer - designing and delivering the pipelines, frameworks, and data products that turn raw data into insights shaping product innovation and business strategy. This is hands-on, high-impact work at the intersection of engineering craft and enterprise scale.
  • Lead the design, development, and deployment of scalable data pipelines and architectures that power analytics and AI initiatives across CP&I
  • Partner with data scientists, analysts, product managers, and business stakeholders to translate requirements into technical specifications and deliver solutions that drive decision-making
  • Mentor junior data engineers and champion best practices in coding standards, data governance, and performance optimization
  • Build and maintain robust, reusable data engineering components, frameworks, and libraries that process data from diverse sources with consistency and quality
  • Monitor, troubleshoot, and optimize data pipelines to ensure high availability, performance, and reliability at enterprise scale
  • Implement CI/CD pipelines to automate deployment and testing of data engineering workflows
  • Participate in code reviews and contribute to a culture of collaboration, innovation, and continuous improvement

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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