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

Nike

Lead Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

LEAD, DATA ENGINEER - NIKE [Beaverton, OR - USA] WHO YOU'LL WORK WITH Consumer Product and Innovation (CP&I) Data and Analytics Engineering sits at the intersection of product innovation and ...

Pwc

AI & GenAI Data Scientist-Director

Portland, OR · On-site

$155K - $410K/yr

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

Hp

Print Supplies Big Data Analyst

Vancouver, WA

$105K - $161K/yr

... analytics, data quality, product data stewardship, monthly reporting operations, and forecasting enablement. In this role, you will partner closely with data engineers, data scientists, and the ...

Hp

Big Data Laser Analyst

Vancouver, WA

Big Data Laser Analyst Description - Job Summary We are seeking a highly analytical, business ... Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills Analytics ...

Procom Consultants Group

Data Analyst

Hillsboro, OR

... programmer Quantitative research Unstructured data analysis Natural language processing Equipment utilization analysis Supply/Demand analysis Inventory level optimization Supply management and ...

Procom Consultants Group

Data Analyst

Hillsboro, OR

Data Analyst Mandatory Skills - BS degree with a technical discipline such as Mathematics, Computer Science, Information Systems, Engineering - Experience extracting and manipulating data from ...

Pwc

Data Governance- Manager

Portland, OR

$99K - $232K/yr

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

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Showing results 21-40

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 Aug 11, 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.

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.

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 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 August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

Data Engineer

BizTek People, Inc. | APA International Placement Consultants

Beaverton, OR • On-site

$119K - $143K/yr

Contractor

Re-posted 28 days ago

Job description


Overview
As a Data Engineer within North America Supply Chain, you will be a key member of a growing and passionate group focused on collaborating across business and technology resources to drive forward key programs and projects building enterprise data & analytics capabilities across the enterprise.
Primary Responsibilities
• Good understanding and application of modern data processing technology stacks. For example, AWS, Snowflake, SQL, Airflow, SQOOP, DMS, Spark, and building out performant data consumption layers.
• Design and build product features in collaboration with business and IT.
• Design reusable components, frameworks, libraries like User Defined Functions.
• Build continuous integration and test-driven development environment.
• Performance/scalability tuning, algorithms and computational complexity.
• Manage large data sets that are updated multiple times per day.
• Participate in an Agile / Scrum methodology to deliver high - quality software releases every 2 weeks through Sprints.
• Troubleshoot production support issues post - deployment and come up with solutions as required.
Preferred Experience
• A Bachelor's degree in Business, Information Technology or related field.
• 2+ years' experience in a professional organization collaborating across multiple functions.
• Familiarity with Agile project delivery methods.
• Experience with AWS components and services (E.G. EC2, EMR, S3, and Lambda).
• Experience with Jenkins, Bitbucket/GitHub and scheduling tools like Airflow.
• Strong programming, Python, shell scripting and SQL.
• Good understanding of file formats including JSON, Parquet, Avro, and others.
• Experience with data warehouses/RDBMS like Oracle, Teradata, Snowflake.
• Experience with data warehousing, dimensional modeling and ETL development.
• Demonstrable ability to quickly learn new tools and technologies.
• Exceptional interpersonal and communication skills (written and verbal).

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