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

KEEN

Sr. Director, Data & Analytics

Portland, OR · On-site

Required : • Bachelor's Degree in Computer Science, Data Science, Information Systems, Business Analytics, Engineering, or related discipline required. • Minimum twelve (12) years of progressive ...

KEEN

Sr. Director, Data & Analytics

Portland, OR · On-site

Required : • Bachelor's Degree in Computer Science, Data Science, Information Systems, Business Analytics, Engineering, or related discipline required. • Minimum twelve (12) years of progressive ...

KEEN

Sr. Director, Data & Analytics

Portland, OR · On-site

Required : • Bachelor's Degree in Computer Science, Data Science, Information Systems, Business Analytics, Engineering, or related discipline required. • Minimum twelve (12) years of progressive ...

Mattson Technology

Data Analyst Engineer

Hillsboro, OR · On-site

Master's degree in Engineering, Computer Science, Data Analytics, or a related field * 0-3 years of ... experience in data analysis, engineering, or a related technical role (new graduates encouraged to ...

A-dec, Inc.

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and business intelligence projects of moderate scope or portions of major large-scale projects, and ...

A-dec, Inc.

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and business intelligence projects of moderate scope or portions of major large-scale projects, and ...

Pwc

Data Engineer - Senior Associate

Portland, OR

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Manager

Portland, OR

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Manager

Portland, OR

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

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Showing results 1-20

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

Data Analytics Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do data analytics engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for 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.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and systems to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
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 Data Analytics Engineer jobs in Portland, OR? For Data Analytics Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Portland, OR look for? The top searched job categories for Data Analytics Engineer jobs in Portland, OR are:
What cities near Portland, OR are hiring for Data Analytics Engineer jobs? Cities near Portland, OR with the most Data Analytics Engineer job openings:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Portland, OR as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.
Sr. Director, Data & Analytics

Sr. Director, Data & Analytics

KEEN

Portland, OR • On-site

Full-time

Posted 9 days ago

Job description

Job Summary:
KEEN is a values-led, independently owned brand from Portland, Oregon, focused on creating original and versatile products. The Senior Director, Data & Analytics is responsible for shaping KEEN’s data vision and transforming the organization into a data-driven and AI-enabled business, leading analytics initiatives across various functions to drive measurable business outcomes.
Responsibilities:
• Defines and communicates a compelling enterprise data & AI vision that supports KEEN’s commercial strategy, growth ambitions, and long-range planning.
• Identifies and prioritizes high-impact analytics opportunities across merchandising, DTC, wholesale, supply chain, and finance — ensuring measurable business outcomes.
• Develops and leads KEEN’s AI data readiness strategy, enabling predictive insights, automation, personalization, and intelligent decision support.
• Provides executive-level thought leadership on how analytics can improve margin, inventory productivity, customer engagement, and operational efficiency.
• Leads enterprise data architecture and platform direction, ensuring scalability, governance, and reliability.
• Leads and evolves the Analytics Center of Excellence, establishing governance standards, KPI harmonization, intake processes, and enterprise decision rights.
• Builds and develops a high-performing team of Data Architects, Data Engineers, and Technical Data Analysts; strengthen the broader analyst community through education and capability building.
• Serves as a trusted advisor to executive leadership; communicate progress through business impact metrics, not just technical milestones.
Qualifications:
Required:
• Bachelor's Degree in Computer Science, Data Science, Information Systems, Business Analytics, Engineering, or related discipline required.
• Minimum twelve (12) years of progressive experience in data, analytics, or digital transformation leadership.
• Minimum of five (5) years leading enterprise-scale data or analytics teams.
• Deep understanding of retail / consumer industry operating models (DTC, wholesale, merchandising, supply chain, planning, inventory lifecycle).
• Ability to connect analytics initiatives directly to commercial KPIs and financial outcomes.
• Strong business acumen with the ability to quickly understand industry nuances and market dynamics.
• Visionary mindset with the ability to articulate a forward-looking analytics roadmap.
• Expertise in enterprise data architecture, cloud data platforms, BI ecosystems, and integration frameworks.
• Experience building governed semantic layers and standardized KPI frameworks.
• Strong understanding of AI/ML enablement, data quality frameworks, and responsible AI governance.
• Proven ability to influence executives and senior business leaders.
• Experience building and scaling Centers of Excellence or enterprise capability functions.
• Strong change management and communication skills.
• Ability to unify technical and business analytics communities.
• Demonstrated ability to balance innovation with operational excellence.
Preferred:
• Master's Degree in Technology, Analytics, or Business Leadership focus preferred.
Company:
KEEN is a values led, outdoor footwear brand with a mission to responsibly create original and versatile products, improve lives, and inspire outside adventure. Founded in 2003, the company is headquartered in Portland, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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