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Lead Data Engineer Jobs in Oregon (NOW HIRING)

Staff Engineer Data

OR · On-site +1

Mission Systems CIDO is seeking a Data Architect to lead the development and governance of the ... Design governed data models for key domains (manufacturing, quality/QN, supply chain, engineering ...

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 ...

$200K/yr

Key Responsibilities Lead, mentor, and develop a team of Data Engineers supporting enterprise reporting, analytics, AI, and data science initiatives. Design, build, and maintain scalable data ...

Senior Data Architect

OR · On-site +1

$67.25 - $90/hr

Partner with Data Engineering teams to ensure architecture standards and enterprise data models are consistently implemented. * Lead architecture reviews, solution design sessions, and technical ...

Lead Software Engineer - NIKE Inc., Beaverton, OR. Manage the coordination and overall integration ... Spark for Data Engineering including batch and streaming pipelines * Advance SQL including complex ...

We are looking for a Senior Analytics Engineer to join our Analytics team and help build the data ... lead data initiatives from problem definition through adoption. Over time, you will become a ...

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Showing results 41-60

Lead Data Engineer information

See Oregon salary details

$44.9K

$130.9K

$190.8K

How much do lead data engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for lead data engineer in Oregon is $130,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $142,700.00 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 popular job titles related to Lead Data Engineer jobs in Oregon?

For Lead Data Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Lead Data Engineer jobs in Oregon look for?

The top searched job categories for Lead Data Engineer jobs in Oregon are:

What cities in Oregon are hiring for Lead Data Engineer jobs?

Cities in Oregon with the most Lead Data Engineer job openings:

Infographic showing various Lead Data Engineer job openings in Oregon 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 $130,875 per year, or $62.9 per hour.

Staff Engineer Data

OR • On-site, Remote

Northrop Grumman
Space Research Administration • 10K+ employees

Full-time

Medical, Life, Retirement, PTO

Posted 4 days ago


Northrop Grumman rating

8.3

Company rating: 8.3 out of 10

Based on 372 frontline employees who took The Breakroom Quiz


Job description

RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: No CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way.

Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions.

In rapidly changing global security environments, Northrop Grumman brings informed insights and secure technological solutions to enable strategic objectives. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we will support yours of expanding your personal network and developing skills, whether you are new to the field or an industry thought leader.

At Northrop Grumman, you will have the resources, support, and team to do some of the best work of your career. Mission Systems CIDO is seeking a Data Architect to lead the development and governance of the sector's data strategy. This role will define authoritative data models, standards, and integration frameworks across manufacturing, engineering, quality, supply chain, and program domains-ensuring that sector data is consistent, reusable, and aligned with enterprise platforms and tools.

The Data Architect will partner closely with functional stakeholders and CIDO technical leadership to design scalable, governed data solutions that reduce fragmentation, improve interoperability, and enable missioncritical analytics and AI capabilities. A hybrid work schedule may be considered for this position; please note that the selected candidate will be required to work on-site 3 days per week at our Linthicum, MD campus. The Data Architect will lead the architecture and development of the Mission Systems (MS) sector data strategy across functions and programs, aligned to enterprise data strategy and enterprise tools.

The role establishes repeatable, scalable frameworks, policies, and data standards; designs authoritative data models and contracts; and ensures reliable, governed data flows that ground AI and analytics. Working closely with the CIDO Systems Architect and AI Architect, the Data Architect meets with customers to determine the best course of action and delivers sectorwide solutions that are reproducible and scalable. Key Responsibilities Define and maintain the MS sector data strategy and reference architecture, aligning with enterprise standards and tools (e.g., canonical ontologies, ERP/SAP integration, M365, Palantir Foundry)

Establish repeatable, scalable frameworks for data ingestion, normalization, enrichment, and publication; create reusable patterns and data contracts (APIs, schemas). Design governed data models for key domains (manufacturing, quality/QN, supply chain, engineering) and prevent shadow ontologies by grounding models in the authoritative enterprise ontology. Lead data quality management (DQ rules, profiling, remediation), metadata/catalog adoption, lineage mapping, and auditability; define policies for citation and source traceability in AI use.

Architect secure data pipelines and storage across sovereign, classified, and disconnected environments; implement observability, reliability, and lifecycle management. Partner with the AI Architect to ground RetrievalAugmented Generation (RAG) and agent workflows in authoritative sector data; ensure data readiness, freshness, and guardrails for AI/ML. Collaborate with the Systems Architect to align solution designs with platform constraints and delivery patterns; provide architecture decision records (ADRs) and design reviews.

Meet with program customers and functional stakeholders to capture requirements, evaluate solution paths, and recommend approaches that balance speed, governance, and maintainability. Define and socialize data policies (access, stewardship, retention, classification) and operating processes (intake, review, approval) to scale adoption across programs. Establish KPIs and ROI metrics (data quality, timeliness, reuse, cycletime impact) and drive continuous improvement; create playbooks and templates for rapid onboarding.

Basic Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems and 12+ years of experience, or Master's degree in Computer Science, Engineering, Information Systems and 10+ years of experience. The selected candidate will be required to obtain a U.S. Government Secret level security clearance and a Special Access Program (SAP/SAR) clearance; maintaining the required clearances will be a condition of continued employment

The selected candidate will be required to obtain a U.S. Government Secret level security clearance and a Special Access Program (SAP/SAR) clearance; maintaining the required clearances will be a condition of continued employment. Experience in data architecture, enterprise data modeling, and data platform engineering across multiple domains

Handson experience designing governed data models and contracts, strong SQL and schema design, and a familiarity with event streaming and batch ETL/ELT. Experience with metadata/catalog tools, lineage mapping, and data quality management, and an ability to operationalize policies at scale. Containerization/orchestration experience (Docker/Kubernetes), CI/CD for data pipelines, and secure software supply chain practices.

Experience implementing data solutions in sovereign/classified or airgapped environments, and an understanding of auditing, logging, and compliance. Preferred Qualifications: Experience with Palantir Foundry ontology and analytics pipelines, and an ability to align sector data models to canonical enterprise structures. Manufacturing and quality/QN analytics domain experience (shopfloor data, SPC, defect/QN processes, rootcause/corrective action).

Familiarity with ERP/SAP integration patterns, MES/PLM/ERP data domains, and crosssystem data harmonization. Experience establishing sectorwide data standards, stewardship models, and governance councils. Exposure to supporting AI/ML workloads (feature stores, RAG grounding, data readiness) and measurement of model/data ROI.

We offer flexible work arrangements, phenomenal learning opportunities, exposure to a wide variety of projects and customers, and a very friendly team environment. At Northrop Grumman, we are on the cutting edge of innovation. Our diverse portfolio of programs means there are endless paths to cultivate your career.

We also offer exceptional benefits/healthcare, a 9/80 work schedule, and a great 401k matching program. Come join us. Primary Level Salary Range: $169,000.00 - $253,600.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions

Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives.

In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.

Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S

Citizenship is required for all positions with a government clearance and certain other restricted positions.


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About Northrop Grumman

Sourced by ZipRecruiter

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

Year founded

1939