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

Deloitte

Lead AI and Data Science Engineer II

Portland, OR · On-site

$108K - $143K/yr

... manage multiple initiatives. * Collaborate with stakeholders across Talent, business leadership ... Software & Data Engineering * Develop full-stack, web-based data and generative artificial ...

Weir

Data Analyst

Portland, OR

Experience with data engineering concepts and tools, including data bricks and data fabric technologies. * Familiarity with scaled agile frameworks and product lifecycle management. * Background in ...

Weir Group

Data Analyst

Portland, OR

Experience with data engineering concepts and tools, including data bricks and data fabric technologies. * Familiarity with scaled agile frameworks and product lifecycle management. * Background in ...

MDAEdge

Data Visualization Engineer

Beaverton, OR · On-site

$120K - $145K/yr

... and visualization engineering • Proficiency in Python for coding and data integration • Expertise in SQL for querying and managing data • Hands-on experience with Azure and AWS cloud ...

Hp

Print Supplies Big Data Analyst

Vancouver, WA

$105K - $161K/yr

In this role, you will partner closely with data engineers, data scientists, and the supplies ... Typically has 7-10 years of work experience, preferably in data analytics, database management ...

Pwc

AI & GenAI Data Scientist-Director

Portland, OR · On-site

$155K - $410K/yr

... programming languages such as Python and C++ to develop and deploy AI models - Managing complex data analysis and confirming data quality and integrity within analytics frameworks - Encouraging ...

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Showing results 41-60

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Portland, OR

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:
Manager Data Engineering jobs near you

Managed Services - Senior Data Engineer - Senior Manager

Pwc

Portland, OR • On-site

$124K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Manager

Job Description & Summary

The Opportunity
As a Senior Data Engineer - Senior Manager, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Technology Consulting practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Senior Manager, you will utilize your skills and professional network to deliver quality results, motivating and coaching teams to solve complex problems. You will apply sound judgment, recognizing when to take action and when to escalate, while fostering a diverse and inclusive team environment.
In this role at PwC, you will craft and convey clear, impactful messages that tell a holistic story, applying systems thinking to identify underlying problems and opportunities. You will validate outcomes with clients, share alternative perspectives, and act on client feedback. Your ability to navigate complexity and demonstrate composure in challenging situations will contribute to the success of our firm. This position offers the chance to deepen your skills and stay relevant in the ever-evolving field of data and analytics, making a significant impact on both client success and the growth of our practice.
Responsibilities
- Developing innovative solutions to optimize business performance and enhance competitive advantage (solution optimization and roadmap development)
- Utilizing advanced analytics techniques to support client operations and strategic goals (AWS data engineering and Redshift)
- Building and maintaining data pipelines and architectures to support business intelligence efforts -(DataStage, ETL)
- Implementing data visualization tools to provide actionable insights and improve client outcomes -(SQL Server, DB2)
- Collaborating with stakeholders to identify and address data challenges and opportunities (Managed services, and SLAs)
- Coaching and motivating teams to solve complex problems and deliver quality results
- Applying systems thinking to identify underlying problems and opportunities within client projects (workload orchestration and scheduling)
- Validating outcomes with clients and acting on feedback to refine solutions -(CSAT and performance tuning)
- Directing teams through ambiguous and challenging situations with composure and sound judgment
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
- Demonstrating advanced skills in data architecture development and data pipeline management
- Utilizing Python and Java for complex data analysis and visualization
- Excelling in business intelligence tools like QlikView and Oracle BI
- Leading strategic questioning and stakeholder engagement initiatives
- Applying systems thinking to identify and address underlying problems
- Directing teams through complex and ambiguous situations

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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