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Manager Data Analytics Engineer Jobs in Portland, OR

Pwc

Data Engineer - Senior Associate

Portland, OR · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Milliman

Data Engineer (MedInsight)

Portland, OR · On-site +1

$93K - $177K/yr

... on MedInsight analytic solutions for healthcare cost and care management. MedInsight has been ... We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data ...

Pwc

Data Governance- Manager

Portland, OR · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

NW Natural

Data & Reporting Manager

Portland, OR

Act as the primary business owner for reporting and analytics solutions * Ensure reporting outputs ... Coordinate delivery across BI developers, data engineers, QA, and business stakeholders * Manage ...

NW Natural

Data & Reporting Manager

Portland, OR

Act as the primary business owner for reporting and analytics solutions * Ensure reporting outputs ... Coordinate delivery across BI developers, data engineers, QA, and business stakeholders * Manage ...

NW Natural

Data & Reporting Manager

Portland, OR · On-site

Act as the primary business owner for reporting and analytics solutions * Ensure reporting outputs ... Coordinate delivery across BI developers, data engineers, QA, and business stakeholders * Manage ...

Weir Group

Data Analyst

Portland, OR

... analytics capabilities, creating epics, user stories, and other assets for architects and engineers ... Support Agile planning, product roadmap management, and risk assessment. Maintain the data platform ...

Weir

Data Analyst

Portland, OR

... analytics capabilities, creating epics, user stories, and other assets for architects and engineers ... Support Agile planning, product roadmap management, and risk assessment. Maintain the data platform ...

PayRange

Senior Data Analyst, BI & Analytics

Portland, OR · On-site

$91K - $115K/yr

... BI & Analytics to become the company's first dedicated data and business intelligence owner ... Work with Sales, Marketing, Operations, Support, Product, and Engineering to understand business ...

PayRange

Senior Data Analyst, BI & Analytics

Portland, OR · On-site

$91K - $115K/yr

... BI & Analytics to become the companys first dedicated data and business intelligence owner ... Work with Sales, Marketing, Operations, Support, Product, and Engineering to understand business ...

PayRange

Senior Data Analyst, BI & Analytics

Portland, OR · On-site

$91K - $115K/yr

... BI & Analytics to become the company's first dedicated data and business intelligence owner ... Work with Sales, Marketing, Operations, Support, Product, and Engineering to understand business ...

Nike

Senior Data Analyst

Beaverton, OR · On-site

$89K - $112K/yr

Must have a Master's degree in Data Analytics, Data Engineering, or Information Technology and ... management tools like JIRA, Azure DevOps, and Confluence Apply at www.Nike.com/Careers (Job# R ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Portland, OR

Manager Data Analytics Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do manager data analytics engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for manager data analytics engineer in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

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

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What are the most commonly searched types of Data Analytics Engineer jobs in Portland, OR? The most popular types of Data Analytics Engineer jobs in Portland, OR are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Portland, OR? For Manager Data Analytics Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Portland, OR look for? The top searched job categories for Manager Data Analytics Engineer jobs in Portland, OR are:
What cities near Portland, OR are hiring for Manager Data Analytics Engineer jobs? Cities near Portland, OR with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you

Data Engineering Manager

BizTek People, Inc. | APA International Placement Consultants

Hillsboro, OR • On-site

Contractor

Posted 4 days ago

Job description

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.

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