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Lead Data Engineer Jobs in Oregon (NOW HIRING)

CONSUMER DIRECT CARE NETWORK

OR · On-site

$114K - $137K/yr

Lead initiatives to design, develop, and maintain enterprise data warehouse systems and data ... Collaborate with engineers, analysts, and business partners to ensure that solutions align with ...

Sonny's Enterprises LLC

$105K - $143K/yr

The Senior Data Engineer is the lead delivery role for structured data engineering in Databricks. This role owns lakehouse execution across bronze, silver, and gold; common data model implementation;

Consumer Direct Care Network

OR

$114K - $137K/yr

Lead initiatives to design, develop, and maintain enterprise data warehouse systems and data ... Collaborate with engineers, analysts, and business partners to ensure that solutions align with ...

AmeriSave Mortgage Corp.

$100K - $136K/yr

Lead the creation of scalable, reliable data models and optimize them for performance and usability. * Drive continuous improvement in data engineering processes and practices to keep them efficient ...

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 ...

Roseburg

BI Data Engineer

Springfield, OR

Lead the design, development, and maintenance of data integration, services, etc. to provide the ... Working knowledge of AI prompt engineering and the effective application of generative AI ...

NewRocket

AI Data Intelligence Lead

OR · Remote

AI Data Intelligence Lead AI Foundry | NewRocket Location: Remote (Occasional travel as needed ... This role focuses on applying machine learning, generative AI, and advanced data engineering ...

Unqork

OR · On-site

The Impact U will make: We're seeking an experienced Principal Data Engineer/ Technical Lead who is passionate about implementation and capable of writing high-quality application code In this role ...

Human Interest

OR

$105K - $143K/yr

Lead the technical direction and evolution of our data platform as we move toward an AI-first data ... Mentor data engineers and analysts, raising the technical bar across the team. What you bring to ...

Wellbe Senior Medical

Senior Data Engineer

$105K - $150K/yr

Job Summary As a Senior Data Engineer at WellBe you will play a pivotal role in collecting ... Lead and mentor a team of data professionals, providing guidance, performance evaluations, and ...

Roseburg Forest Products

BI Data Engineer

Springfield, OR · On-site +1

$52.75 - $68.50/hr

Lead the design, development, and maintenance of data integration, services, etc. to provide the ... Working knowledge of AI prompt engineering and the effective application of generative AI ...

MissionWired

Staff Data Engineer

OR · On-site +1

$130K - $150K/yr

We are looking for a Staff Data Engineer to transform millions of data points into unparalleled ... An eagerness to lead and take ownership of complex projects; * Experience mentoring or managing ...

Deckers

Data Architecture Lead

OR · Remote

Data Architecture Lead Reports to: Director, Data Architecture Location: United States (Remote ... Collaborate with data engineering teams to translate architecture designs into scalable physical ...

Caris Life Sciences

OR · On-site

They will lead data discovery and validation projects to ensure accurate data is delivered in a ... Programming and scripting skills with Java Script. * Familiarity and past work experience deploying ...

LP Careers Page

OR · Hybrid

Leans on ML engineering for the last mile rather than working solo * Coachable: Seeks feedback and turns it into visible behavior change * Curiosity paired with delivery discipline NICE TO HAVES

SugarAI

OR · On-site

$114K - $137K/yr

We create an environment where thoughtful ideas move quickly, where people are trusted to lead, and ... As a Senior Data Engineer, you will own the Databricks pipelines that make this possible, driving ...

Waymark

OR · On-site

$125K - $172K/yr

You will report to data engineering leadership and setting the technical direction for our clinical ... Lead end-to-end integration efforts with health plan partners, HIEs, health alliance networks ...

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Showing results 1-20

All JobsLead Data Engineer JobsLead Data Engineer Jobs in Oregon

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 Jul 13, 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.

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 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:
Lead Data Engineer jobs near you
Infographic showing various Lead Data Engineer job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,875 per year, or $62.9 per hour.
IT Data Engineer III

IT Data Engineer III

CONSUMER DIRECT CARE NETWORK

OR • On-site

$114K - $137K/yr

Other

Posted 23 days ago

Consumer Direct Care Network rating

5.3

Company rating: 5.3 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

184th of 235 rated social care providers

Job description

Description & Requirements
Culture Vision at Consumer Direct Care Network

At CDCN, we strive to create aworkplace where everyone issupported and motivated to betheir best; we collaborate onshared goals and celebrate ouraccomplishments.

WE WELCOME YOU INTO A GROWING COMPANY

Consumer Direct Care Network is all about caring for people. Care is at our core, and we strive to live up to it every day. We provide services in 14 states across the USA, and our programs grow every year. We specialize in home and community-based services that support individuals with disabilities and older adults so they can remain in their homes and communities.

JOB SUMMARY
IT Data Engineer III is a senior-level position on the Enterprise Data team, responsible for leading the design, development, and support of complex enterprise data solutions across modern cloud platforms. This role plays a key leadership role in optimizing CDCN's data systems and processes for performance, scalability, and reliability while advancing our technical capabilities with cloud-native technologies. The IT Data Engineer III serves as a technical expert and mentor, guides ad hoc teams, and leads efforts to improve data workflows, architecture, and integration across the organization. This position requires deep technical expertise in Azure data platforms including Fabric and Synapse Analytics, strong collaboration skills, and the ability to communicate effectively with both technical and non-technical stakeholders.

JOB DUTIES
  • Lead initiatives to design, develop, and maintain enterprise data warehouse systems and data integration pipelines used for analysis and reporting, leveraging Azure Fabric, Azure Synapse Analytics, and related Azure data platform technologies.
  • Design and implement scalable ETL/ELT (extract, transform, load) solutions across enterprise systems, leveraging advanced data engineering tools and technologies including Azure Data Factory, Databricks, and serverless data processing platforms.
  • Architect and optimize dimensional data models including fact tables, dimension tables, and slowly changing dimensions to support analytics and reporting requirements.
  • Lead response efforts to stakeholder data needs and system issues, serving as the primary technical contact for complex or escalated requests and ensuring alignment with business requirements and regulatory compliance.
  • Troubleshoot and resolve high-priority issues during regular business hours and as part of the after-hours on-call rotation, ensuring critical data systems remain operational and performing optimally.
  • Guide ad hoc teams in analyzing and improving data processes, system performance, and cost-efficiency through technical innovation, process redesign, and optimization of cloud infrastructure costs.
  • Provide technical mentorship and direction to peers and junior engineers across data projects and ongoing operations, fostering continuous learning and technical excellence.
  • Collaborate with engineers, analysts, and business partners to ensure that solutions align with strategic business goals, regulatory requirements, and industry best practices.
  • Implement and maintain data quality frameworks, validation rules, and monitoring mechanisms to ensure data accuracy, consistency, and reliability across enterprise systems.
  • Lead technical design reviews and code reviews, establishing and enforcing data engineering standards, best practices, and architectural principles.
  • Perform other duties as assigned, including leadership of special projects or enterprise-level initiatives.

QUALIFICATIONS
Education & Experience:
  • Bachelor's degree in Computer Science, Information Technology, Data Analytics, Data Science, Mathematics, or a related field required; equivalent professional experience will be considered.
  • 5-9 years of experience designing, developing, and supporting data platforms and enterprise data warehouse systems in production environments.
  • Proven ability to lead and serve as a technical expert on small to medium-sized projects and cross-functional initiatives.
  • Demonstrated experience mentoring junior engineers and contributing to team technical development.
Core Technical Skills:
  • Expert-level experience with Azure Fabric including lakehouse architecture, notebooks, Delta Lake, data pipelines, and data warehouse design.
  • Deep hands-on experience with Azure Synapse Analytics including dedicated SQL pools, serverless SQL pools, Synapse pipelines, and performance optimization.
  • Expert-level SQL scripting with advanced proficiency in writing complex queries, stored procedures, query optimization, and performance tuning.
  • Deep experience in ETL/ELT development and data pipeline architecture across enterprise systems.
  • Advanced dimensional data modeling expertise including star schema, snowflake schema, fact tables, dimension tables, and slowly changing dimensions.
  • Expert-level experience with cloud data platforms such as Azure (primary), AWS, or Oracle Cloud.
  • Extensive hands-on experience with tools and technologies including Azure Data Factory, Azure Fabric, Azure Synapse Analytics, Databricks, Azure Data Lake Storage Gen2, Azure DevOps, SSMS, and Power BI.
  • Expert-level understanding of data structures and data exchange formats including ANSI X12, JSON, XML, and industry-standard data formats.
  • Proficiency in Python or PySpark for data processing and transformation tasks.
DevOps & Engineering Practices:
  • Strong experience with version control systems (Git) and CI/CD practices for data engineering.
  • Familiarity with infrastructure as code (Terraform, ARM templates, or Bicep).
  • Experience implementing data quality frameworks and automated monitoring/alerting mechanisms.
  • Knowledge of data governance, security best practices, and regulatory compliance requirements.
  • Professional & Interpersonal Skills:
  • Demonstrated ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
  • Strong problem-solving skills, attention to detail, and ability to manage multiple priorities under pressure.
  • Able to work independently or as a team lead, taking full ownership of technical solutions from design through implementation and support.
  • Proven ability to mentor peers and junior engineers, contributing to technical team development.
  • Ability to work effectively on-call and respond to critical production issues with urgency and professionalism.
Machine Learning & AI (Preferred Qualifications):
  • Experience with Azure Machine Learning including model training, deployment, and inference pipelines integrated into data workflows
  • Familiarity with MLOps practices including model versioning, monitoring, retraining workflows, and model governance
  • Understanding of feature engineering and the role of data pipelines in preparing data for machine learning applications
  • Experience with Databricks ML features including MLflow and distributed model training
  • Knowledge of AutoML and automated feature selection tools within the Azure ecosystem
  • Experience implementing model monitoring and performance tracking in production environments
  • Familiarity with responsible AI principles including bias detection, explainability, and ethical AI considerations
  • Understanding of A/B testing frameworks and experimentation workflows in data-driven applications
Other Requirements:
  • Must be able to successfully pass a background screening.
  • Willingness to maintain and expand technical certifications relevant to Azure data platforms.
  • Ability to work flexible and/or extended hours, if needed, to meet the job requirements.
  • Employees must provide their own reliable internet if working a remote/hybrid position

The incumbent typically works in an office environment and uses a computer, telephone and other office equipment as needed to perform duties. The noise level in the work environment is typical of that of an office. Incumbent may encounter frequent interruptions throughout the workday. The employee is regularly required to sit, talk, or hear; frequently required to use repetitive hand motion, handle or feel, and to stand, walk, reach, bend or lift up to 20 pounds. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

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