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Data Engineer Pmp Jobs in Portland, OR (NOW HIRING)

... data center project experience - ETAP, SKM, or EasyPower experience - AHJ relationships and ... PMP or project leadership certifications --- Use the following link to speak with a recruiter and ...

Experience using data to inform decisions. * Experience partnering with production in a CNC ... PMP certification or 1+ years of experience as a project manager. * Experience with high-mix, low ...

Experience using data to inform decisions. * Experience partnering with production in a CNC ... PMP certification or 1+ years of experience as a project manager. * Experience with high-mix, low ...

From massive data centers to modernizing transmission systems, our industry-recognized engineers ... PMP certification #LI-JM8 Required Qualifications * Bachelor's degree in Engineering * 7 years ...

From massive data centers to modernizing transmission systems, our industry-recognized engineers ... Master's degree * PMP certification #LI-JM8 Qualifications Required Qualifications * Bachelor ...

Productivity Program Manager

Hillsboro, OR · On-site

$108K - $148K/yr

Systems Engineering * Data Science * Analytics or a related field Preferred Qualifications ... Project or Program Management certifications (e.g., PMP, Agile) Experience Requirements 3-5 years ...

Manage the Airport Pavement Management Program (PMP) to ensure compliance with FAA AC No: 150/5380 ... Senior- Reading and understanding complex engineering drawings/plans. * Advanced- Manage large data ...

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Showing results 1-20

Data Engineer Pmp information

See Portland, OR salary details

$48.8K

$175K

$258.2K

How much do data engineer pmp jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data engineer pmp in Portland, OR is $175,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,600.00 and $180,300.00 per year, depending on experience, location, and employer.

Can a data engineer become a product manager?

A data engineer can transition to a product manager role by developing skills in product strategy, user experience, and stakeholder communication. Experience with data analysis, technical understanding, and project management tools like Agile can facilitate this shift, often requiring additional training or certifications in product management. Such a transition is common as data engineers gain broader business and leadership experience.

What engineer makes $500,000 a year?

Highly experienced data engineers with specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in senior or leadership roles at large tech companies. Achieving this level often requires extensive experience, certifications, and a strong track record of delivering complex data solutions.

What is the difference between Data Engineer Pmp vs Data Analyst?

AspectData Engineer PmpData Analyst
CertificationsPMP, data engineering certificationsData analysis certifications, like Microsoft or Tableau certifications
Work EnvironmentDesigning data pipelines, managing databases, working with big data toolsInterpreting data, creating reports, visualizations
Industry UsageTech, finance, healthcare, where data infrastructure is criticalMarketing, business intelligence, finance, where data insights drive decisions

The main difference between a Data Engineer Pmp and a Data Analyst lies in their focus: Data Engineers Pmp build and maintain data infrastructure, while Data Analysts interpret data to provide insights. Certifications and work environments also differ, with Data Engineers Pmp often holding PMP and technical certifications, working on data pipelines, whereas Data Analysts focus on data visualization and reporting.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large-scale data infrastructure, building data pipelines, and supporting data analytics. Skills in cloud platforms, SQL, and tools like Apache Spark or Hadoop enhance employability in this field.

What are Data Engineer PMPs?

Data Engineer PMPs are professionals who specialize in designing, building, and maintaining data infrastructure, pipelines, and systems, while also holding a Project Management Professional (PMP) certification. This unique combination means they have both technical expertise in data engineering and proven skills in managing complex projects. Their role often involves overseeing data projects from conception through execution, ensuring they are delivered on time and meet organizational goals. Data Engineer PMPs are valuable in organizations that require both advanced data solutions and strong project leadership.

Can I make 100k as a project manager?

A project manager can earn $100,000 or more annually, especially with experience, certifications like PMP, and working in industries such as IT, construction, or engineering. Salary levels vary based on location, company size, and project complexity, but reaching six figures is common for experienced professionals in many regions.

How does a Data Engineer with PMP certification typically collaborate with project managers and other technical teams during large-scale data projects?

A Data Engineer with PMP certification often acts as a bridge between technical data teams and project management stakeholders. They are responsible for translating business requirements into technical solutions, ensuring that data pipelines and architectures align with project goals and timelines. Collaboration involves frequent meetings with project managers to provide updates, manage risks, and adjust delivery plans, as well as working closely with data analysts, data scientists, and IT teams to ensure data quality and system integration. This dual expertise allows them to manage resources effectively and contribute to successful project delivery within scope and budget.

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

To thrive as a Data Engineer PMP, you need strong skills in data modeling, ETL processes, database management, and project management methodologies, typically supported by a relevant degree and PMP certification. Proficiency with tools such as SQL, Python, Hadoop, Spark, and project management platforms like Jira or MS Project is essential. Outstanding communication, problem-solving, and leadership abilities help coordinate technical teams and stakeholders effectively. These combined skills ensure efficient delivery of data projects, alignment with business goals, and high-quality data infrastructure.
What job categories do people searching Data Engineer Pmp jobs in Portland, OR look for? The top searched job categories for Data Engineer Pmp jobs in Portland, OR are:
Infographic showing various Data Engineer Pmp job openings in Portland, OR as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $175,003 per year, or $84.1 per hour.

Director of Product - Enterprise Data & Analytics

Standard, The

Portland, OR • On-site

$247K - $258K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

The next part of your journey is right around the corner - with The Standard.

A genuine desire to make a difference in the lives of others is the foundation for everything we do. With a customer-first mindset and an intentional focus on building strong teams, we've been able to uphold our legacy of financial stability while investing in new, innovative technologies that support the needs of our customers. Our high-performance culture focused on operational excellence thrives thanks to remarkable people united by compassion and a customer-first commitment. Are you ready to make a difference?

Job Summary

The Director of Product - Enterprise Data Analytics leads the strategy, development, and ongoing success of enterprise data and analytics products. This role combines strategic product leadership with the development of high-performing global teams, including Product Managers, Product Owners, Product Analysts, and Scrum Masters.

Working closely with business, technology, and data leaders, the Director defines product vision, establishes priorities, and delivers trusted, scalable data and analytics capabilities that improve decision-making and business outcomes. This leader is responsible for ensuring product roadmaps are aligned with business objectives, informed by customer needs, and grounded in technical feasibility.

This leader will have experience in building and managing enterprise data product organizations that focus on: Product Leadership, Strategy, and Delivery - Lead, coach, and develop global product teams while fostering a culture of collaboration, accountability, customer focus, and continuous improvement. Own the vision, strategy, roadmap, and delivery of enterprise data and analytics products, including the adoption and maturation of data-as-a-product practices. Drive product discovery, prioritization, and execution to ensure products are scalable, secure, governed, and deliver measurable business outcomes aligned to enterprise objectives.

Key Responsibilities:

Enterprise Data Product Portfolio Management - Serve as the steward of a portfolio of enterprise data products spanning analytical, and transactional products, Lead investment prioritization, and product lifecycle management. Establish product performance measures and continuously evaluate adoption, quality, business impact, and customer outcomes.

Stakeholder Engagement and Cross-Functional Collaboration - Build strong partnerships across business, data, and technology organizations to align product strategy with enterprise priorities. Communicate product vision, roadmap, priorities, and results to stakeholders and executive leadership. Partner closely with governance, architecture, engineering, security, and data management leaders to ensure data products are trusted, discoverable, secure, compliant, and well governed, while driving adoption and incorporating stakeholder feedback into future data product decisions.

Technical and Data Platform Leadership - Bring sufficient depth in modern data and analytics platforms, data engineering, APIs, event-driven architectures, and AI-enabled data capabilities to effectively partner with engineering and architecture leaders. Guide strategic decisions related to enterprise data platforms and data product design ensuring solutions are technically sound, scalable, and aligned with long-term enterprise architecture and business strategy.

Skills and Background You'll Need

Education: A High School Diploma or GED is required. A Bachelor's or Master's degree in Computer Science, Product Management, Data Science, Analytics, Engineering, Business Administration, or relevant field is preferred.

Experience: 12+ years of progressive technology leadership experience, including 7+ years in senior management roles leading product portfolios and teams.

  • Proven success in designing and building advanced analytics products at scale. Ownership of enterprise data products and data as a product practice.
  • Ability to communicate clearly and concisely on complex technical topics, verbally and visually, across all levels of the organization.
  • Experience with scaled Agile delivery, Scrum, and portfolio-grade agile frameworks.
  • Hands-on experience with the following is preferred: Jira, Databricks/lake house platforms. Cloud data platforms (Azure), lake house architecture, enterprise data platforms, data storage, data pipelines, data orchestration, data integration, software engineering practices, data assets, understanding of analytical products & transactional products, APIs, event-driven architecture, AI enabled data capabilities, GenAI enablement.
  • Preferred certifications: PMP, Lean Six Sigma or equivalent.

Key Behaviors of a Successful Candidate

  • Strategic Visioning:Connects business priorities to long-term outcomes and helps leaders focus on the highest-value opportunities.
  • Engaging Hearts & Minds:Builds alignment across leaders, teams, and stakeholders while fostering collaboration and commitment.
  • Developing People:Effectively coaches and develops talent while building high-performing teams.

#LI-Remote

Why Join The Standard?

We have built an enduring legacy of stability, financial strength and exceptional customer service through the contributions of the service-oriented people who choose to work at The Standard. To ensure we can attract and retain the best talent, when you join The Standard you can expect:

  • A rich benefits package including medical, dental, vision and a 401(k) plan with matching company contributions

  • An annual incentive bonus plan

  • Generous paid time off including 11 holidays, 2 wellness days, and 8 volunteer hours annually - PTO increases with tenure

  • A supportive, responsive management approach and opportunities for career growth and advancement

  • Paid parental leave and adoption/surrogacy assistance

  • An employee giving program that double matches your donations to eligible nonprofits and schools

In addition to the competitive salary range below, our employee-focused benefits support work-life balance. Learn more about working at The Standard.

  • Eligibility to participate in an incentive program is subject to the rules governing the program and plan. Any award depends on a variety of factors including individual and organizational performance.

The actual compensation for this role will be based on a combination of education and experience, knowledge and skills, position budget, internal equity, and market data.

Salary Range:

$122,250.00 - $232,750.00

Positions will be posted for at least 5 days from original posting date.

Standard Insurance Company, The Standard Life Insurance Company of New York, Standard Retirement Services, Inc., StanCorp Mortgage Investors, LLC, StanCorp Investment Advisers, Inc., and American Heritage Life Insurance Company and American Heritage Service Company, marketed as The Standard, are Affirmative Action/Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, national origin, gender identity, sexual orientation, age, disability or veteran status or any other condition protected by federal, state or local law. Except where precluded by state or federal law, The Standard will consider for employment qualified applicants with arrest and conviction records pursuant to the San Francisco Fair Chance Ordinance. The Standard offers a drug- and alcohol-free work environment where possession, manufacture, transfer, offer, use of or being impaired by an illegal substance while on The Standard's property, or in other cases which the company believes might affect operations, safety or reputation of the company is prohibited. The Standard requires a criminal background investigation and employment, education and licensing verification as a condition of employment. After any conditional offer of employment is made, the background check will include an individualized assessment based on the applicant's specific record and the duties and requirements of the specific job. Applicants will be provided an opportunity to explain and correct background information. All employees of The Standard must be bondable.