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Manager Data Engineering Jobs in Portland, OR (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

Strong knowledge of data engineering principles, including data modeling, ETL and ELT design patterns, Data quality and observability, Metadata management, Data lifecycle management, Master Data ...

Data Engineer

Beaverton, OR

$119K - $143K/yr

Strong knowledge of data engineering principles, including data modeling, ETL and ELT design patterns, Data quality and observability, Metadata management, Data lifecycle management, Master Data ...

Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

Strong knowledge of data engineering principles, including data modeling, ETL and ELT design patterns, Data quality and observability, Metadata management, Data lifecycle management, Master Data ...

Data Engineer

Beaverton, OR

$119K - $143K/yr

Strong knowledge of data engineering principles, including data modeling, ETL and ELT design patterns, Data quality and observability, Metadata management, Data lifecycle management, Master Data ...

Lead Data Engineer

Beaverton, OR ยท 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 ...

Data Engineer - Senior Manager

Portland, OR ยท On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Senior Manager, Data Security

Portland, OR ยท On-site +1

$121K - $166K/yr

... Manager, Data Security Engineering to lead the engineering strategy and execution for data ... This leader will own the data security engineering pillar, with accountability for data ...

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Manager Data Engineering information

See Portland, OR salary details

$32.9K

$103K

$182.4K

How much do manager data engineering jobs pay per year?

As of Aug 11, 2026, the average yearly pay for manager data engineering in Portland, OR is $103,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $133,100.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

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

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
What are the most commonly searched types of Data Engineering jobs in Portland, OR? The most popular types of Data Engineering jobs in Portland, OR are:
What are popular job titles related to Manager Data Engineering jobs in Portland, OR? For Manager Data Engineering jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Portland, OR look for? The top searched job categories for Manager Data Engineering jobs in Portland, OR are:
What cities near Portland, OR are hiring for Manager Data Engineering jobs? Cities near Portland, OR with the most Manager Data Engineering job openings:

Contractor

Re-posted 2 days ago


Job description


WHO ARE WE LOOKING FOR
We are looking for an experienced Data Engineering Manager to lead and manage a team of data engineers and analysts working on building scalable data and analytics solutions. This person will participate in architecture and design discussions, own end-to-end solution delivery, stakeholder management, partner with platform engineering, collaborate with other engineering teams, and will guide and mentor data engineers. The ideal candidate will have outstanding communication skills, proven data design and implementation capabilities, strong business acumen, and an innate drive to deliver results. The person in this role will be technically proficient and excel at collaborating with engineers, analysts, and stakeholders. He/she will be a self-starter, comfortable with ambiguity, and will enjoy working in a fast-paced dynamic environment.
WHAT WILL YOU WORK ON
In this role, you will manage an engineering team focused on building and delivering scalable data and analytics solutions in our Direct, Supply Chain, and Commercial space. The team will design, implement and integrate new technologies and evolve data and analytics products. You will be contributing to all aspects of data engineering from ingestion, transformation, and consumption in addition to designing and building test-driven development, reusable frameworks, automated workflows, and libraries at scale to support analytics products. You will also participate in architecture and design discussions to process and store high-volume data sets.
WHO WILL YOU WORK WITH
This role is part of the North America Data & Analytics Organization and you will work with world-class talent in the field of Data Engineering with a goal of better business insights and driving data-driven decisions across the organization. You'll be working closely with Internal stakeholders, Product Owners, Engineering Leaders, Data Analysts, Big Data Leads, and Engineers. One of our maxims is "Win as a Team" and you will be working in a very collaborative environment and will find success in teamwork, a positive attitude, and hard work.
Requirements
WHAT YOU BRING
  • Bachelor's or Master's degreein Computer Science or related field
  • 10+ years relevant workexperience in the Data Engineering field
  • 4+ years experience inleading and managing engineering teams
  • 4+ years experience workingwith Hadoop and Big Data processing frameworks (Spark, Hive, Nifi,Spark-Streaming, Flink, etc.)
  • 2+ years experience buildingscalable, real-time and high-performance cloud data lake solutions
  • Strong experience withrelational SQL and programming languages such as Python, Scala, or Java
  • Experience with sourcecontrol tools such as GitHub and related CI/CD processes
  • Experience working with BigData streaming services such as Kinesis, Kafka, etc.
  • Experience working with NoSQLdata stores such as HBase, DynamoDB, etc.
  • Experience provisioningRESTful API's to enable real-time data consumption
  • Experience working in AWSenvironment primarily EMR, S3, Kinesis, Redshift, Athena, etc
  • Experience with datawarehouses/RDBMS like Snowflake & Teradata
  • Experience with workflowscheduling tools like Airflow
  • Strong understanding ofalgorithms, data structures, data architecture, and technical designs.
  • Has a strong problem solvingand analytical approach.