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

Rule42

Lead Software Engineer

Lake Oswego, OR · On-site

$140 - $170/hr

Collaborate with data engineers, machine learning engineers, product leaders, and business ... Lead troubleshooting and root-cause analysis of production issues. * Maintain and continuously ...

Deloitte

Senior Forward Deployed Engineer- AWS

Portland, OR · On-site

$110K - $152K/yr

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ... Lead working sessions to shape solutions and drive client outcomes. * Prototype and deliver working ...

Pwc

AI & GenAI Data Scientist - Manager

Portland, OR · On-site

$99K - $232K/yr

You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. In this role at PwC, you will apply data, algorithms, and software engineering to ...

CYNET SYSTEMS

D365 Enterprise Architect

Hillsboro, OR · On-site

$75/hr

Oversee DevOps processes using Lifecycle Services (LCS) and Azure DevOps for CI/CD pipelines, build ... Lead data migration initiatives using Data Management Framework (DMF) ensuring data quality across ...

Weir Group

Data Analyst

Portland, OR · On-site

You'll apply your skills to deliver results that matter whether that's through engineering ... We encourage our people to lead by example and celebrate our successes. We're passionate about our ...

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Showing results 41-60

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 Sep 4, 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.

What is a lead data engineer?

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 key skills and qualifications needed to thrive as a lead data engineer?

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.

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 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 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 August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $131,274 per year, or $63.1 per hour.

Lead Software Engineer

Rule42

Lake Oswego, OR • On-site

$140 - $170/hr

Other

Posted 9 days ago

Key responsibilities

  • Design, develop, and maintain distributed systems using event-driven architecture patterns.

  • Build scalable .NET Core microservices, APIs, and platform services that support AI and data-driven products.

  • Own the reliability, performance, and operational health of production systems.

Job description

Responsibilities

  • Design, develop, and maintain distributed systems using event-driven architecture patterns.

  • Build scalable .NET Core microservices, APIs, and platform services that support AI and data-driven products.

  • Own the reliability, performance, and operational health of production systems.

  • Design and implement resilient architectures with appropriate fault tolerance, observability, and recovery mechanisms.

  • Develop and maintain cloud-native solutions within Google Cloud Platform (GCP).

  • Work with our IT Director to implement scalable storage solutions our system will use.

  • Collaborate with data engineers, machine learning engineers, product leaders, and business stakeholders to deliver platform capabilities.

  • Establish engineering best practices for code quality, testing, deployment automation, monitoring, and incident response.

  • Lead troubleshooting and root-cause analysis of production issues.

  • Maintain and continuously improve CI/CD pipelines and software delivery processes.

  • Participate in architectural planning and technical decision-making for the company's long-term platform strategy.


Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or a related technical discipline.

  • 7+ years of professional software engineering experience.

  • 3+ years acting in a lead capacity

  • Strong experience developing applications and services in C# (.Net Core) and Python.

  • Strong experience designing and optimizing SQL-based data systems (Postgresql).

  • Strong understanding of software design patterns, system scalability, reliability, and performance optimization.

  • Experience building and operating solutions on Google Cloud Platform (GCP).

  • Experience developing distributed systems and event-driven architectures.

  • Experience building RESTful APIs and microservices.

  • Experience supporting and maintaining production environments.

  • Experience with modern CI/CD practices and automated deployment pipelines.


Preferred Qualifications

  • Master's degree in Computer Science, Software Engineering, or a related technical discipline.

  • Experience supporting machine learning platforms, data products, or AI-driven applications.

  • Experience with containerized environments and orchestration technologies.

  • Experience implementing observability solutions, including monitoring, logging, and distributed tracing.

  • Experience designing highly available and fault-tolerant cloud architectures.

  • Experience building data platforms and working with video analytics


About You

  • You are passionate about baseball or softball or sports in general!

  • You are confident in your architectural skills and know how to leverage Claude code to get things done quickly

  • You know how to prioritize your time and work in a fast-paced team dynamic


Equal Employment Opportunity

Rule42 is an Equal Opportunity Employer and welcomes applicants from all backgrounds. We are committed to creating an inclusive environment for all employees. We consider all qualified applicants for employment without regard to race, color, religion, creed, sex, pregnancy (including childbirth, breastfeeding, and related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, veteran or military status, and any other characteristic protected by applicable law.


Privacy Notice.

We’ll use your resume and application answers to evaluate candidates; info is shared with our hiring team and authorized vendors (background checks after an offer) and retained 24 months — email Matt@Rule42.com to request changes.

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