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

Nike

Lead Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

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 ...

Pwc

Data Engineer - Manager

Portland, OR

In data engineering at PwC, you will focus on designing and building data infrastructure and ... You are expected to lead with integrity and authenticity, articulating our purpose and values in a ...

Pwc

Data Engineer - Senior Manager

Portland, OR

$124K - $280K/yr

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Pwc

Data Engineer - Senior Associate

Portland, OR

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level ...

BKF

Market Lead - Data Centers

Portland, OR · On-site

BKF is a multi-service infrastructure consulting firm providing civil engineering and surveying ... The Market Lead - Data Centers is responsible for overseeing and growing the firm's service ...

BKF

Market Lead - Data Centers

Portland, OR · On-site

BKF is a multi-service infrastructure consulting firm providing civil engineering and surveying ... The Market Lead - Data Centers is responsible for overseeing and growing the firm's service ...

Pwc

Data Governance- Manager

Portland, OR

$99K - $232K/yr

You are expected to lead with integrity and authenticity, articulating our purpose and values in a ... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ...

1 point system

Databricks Lead/Architect

Portland, OR · On-site

$58.50 - $80.25/hr

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related quantitative field. * 8+ years of progressive experience in data architecture, data engineering, or a related role ...

Pwc

GenAI Python Systems Engineer-Manager

Portland, OR

$99K - $232K/yr

The Opportunity As part of the Data and Analytics Engineering team, you lead the development and implementation of data architecture strategies that align with business needs. As a Manager, you guide ...

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All JobsLead Data Engineer JobsLead Data Engineer Jobs in Portland, OR

Lead Data Engineer information

See Portland, OR salary details

$45.1K

$131.3K

$191.4K

How much do lead data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for lead data engineer in Portland, OR is $131,274.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $143,200.00 per year, depending on experience, location, and employer.

How does a Lead Data Engineer typically collaborate with data scientists and other engineering teams?

As a Lead Data Engineer, you play a central role in bridging the gap between raw data and actionable insights. You’ll collaborate closely with data scientists to understand their requirements, ensuring data pipelines deliver clean, reliable datasets for modeling and analysis. Additionally, you’ll work with software engineers and DevOps teams to integrate data solutions into production systems, maintain data infrastructure, and uphold best practices for data governance and security. Effective communication and cross-functional teamwork are key aspects of this role.

What are the key skills and qualifications needed to thrive as a Lead Data Engineer, and why are they important?

To thrive as a Lead Data Engineer, you need advanced expertise in data architecture, database design, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data technologies (e.g., Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and relevant certifications such as Google Professional Data Engineer are highly valued. Strong leadership, problem-solving abilities, and effective communication help drive team performance and translate business needs into technical solutions. These skills ensure robust, scalable data pipelines and successful collaboration across technical and business stakeholders.

What is the difference between Lead Data Engineer vs Data Engineer?

AspectLead Data EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platforms or data toolsBachelor's in CS, Data Science, or related; similar certifications
Work EnvironmentLeads data projects, mentors teams, designs architectureBuilds data pipelines, maintains databases, implements data solutions
Industry UsageUsed in organizations with complex data needs, overseeing data teamsCommon in companies handling large-scale data processing

The main difference is that Lead Data Engineers oversee data projects and teams, focusing on architecture and strategy, while Data Engineers focus on building and maintaining data pipelines. Both roles require similar skills and certifications, but the Lead Data Engineer has additional leadership responsibilities.

What are Lead Data Engineers?

Lead Data Engineers are senior professionals responsible for designing, building, and managing large-scale data systems and architectures within an organization. They oversee data engineering teams, set technical standards, and ensure efficient data flow and storage. Their role involves collaborating with data scientists, analysts, and other stakeholders to deliver reliable data solutions that support business goals. Lead Data Engineers also mentor junior engineers and help define best practices and strategies for data management.
What are the most commonly searched types of Lead Data Engineer jobs in Portland, OR? The most popular types of Lead Data Engineer jobs in Portland, OR are:
What are popular job titles related to Lead Data Engineer jobs in Portland, OR? For Lead Data Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Lead Data Engineer jobs in Portland, OR look for? The top searched job categories for Lead Data Engineer jobs in Portland, OR are:
Lead Data Engineer jobs near you
Infographic showing various Lead Data Engineer job openings in Portland, OR as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $131,274 per year, or $63.1 per hour.
Lead Data Engineer

Lead Data Engineer

Nike

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Posted 4 days 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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