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Aws Machine Learning Jobs in Portland, OR (NOW HIRING)

Nike

Lead Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... Delta Lake, and AWS data services (S3, RDS) * Proven experience leading and mentoring data ... Knowledge of Generative AI and Machine Learning pipelines and integrating them into production ...

Pwc

Adobe Transformation - Senior Associate

Portland, OR

$77K - $202K/yr

... AWS, Azure, GCP), or predictive modeling/ML (Python, SAS) - Utilizing advanced data analysis ... machine learning algorithms for business solutions - Excelling in client relationship management ...

Galois, Inc.

Principal Scientist

Portland, OR · On-site

With clients including NASA, DARPA, AWS, and the DoW, we leverage our cutting-edge research to ... Artificial Intelligence, Machine Learning, and Data Science * Software & Systems Analysis

SupportFinity™

AI Engineer, Sr

Newberg, OR · On-site

$140 - $220/hr

Build and maintain machine learning models and AI services used in production environments * Design ... Experience with cloud platforms such as Azure, AWS or GCP beyond basic usage * Familiarity or ...

New

Honor

Staff Data Scientist

Portland, OR · Remote

You possess a strong foundation in traditional predictive machine learning (e.g., classification ... Familiarity with modern MLOps practices, cloud platforms (AWS), containerization (Docker), or CI/CD ...

A-dec, Inc.

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Build and maintain machine learning models and AI services used in production environments * Design ... Experience with cloud platforms such as Azure, AWS or GCP beyond basic usage * Familiarity or ...

A-dec, Inc.

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Build and maintain machine learning models and AI services used in production environments * Design ... Experience with cloud platforms such as Azure, AWS or GCP beyond basic usage * Familiarity or ...

Galois, Inc.

Principal Scientist

Portland, OR · On-site

With clients including NASA, DARPA, AWS, and the DoW, we leverage our cutting-edge research to ... Artificial Intelligence, Machine Learning, and Data Science * Software & Systems Analysis

DAT

Engineering Manager

Portland, OR · On-site

... machine learning models, and intelligent automation tools that help brokers, carriers, and shippers ... Istio, AWS, Datadog Our Culture Broker Tech is a collaborative, data-driven org that values ...

DAT Solutions

Engineering Manager

Portland, OR · On-site

... machine learning models, and intelligent automation tools that help brokers, carriers, and shippers ... Istio, AWS, Datadog Our Culture Broker Tech is a collaborative, data-driven org that values ...

DAT

Engineering Manager

Portland, OR · On-site

... machine learning models, and intelligent automation tools that help brokers, carriers, and shippers ... Istio, AWS, Datadog Our Culture Broker Tech is a collaborative, data-driven org that values ...

Socket.dev

Engineering Manager

Portland, OR · On-site

$192 - $261/hr

... machine learning models, and intelligent automation tools that help brokers, carriers, and shippers ... Istio, AWS, Datadog Our Culture Broker Tech is a collaborative, data-driven org that values ...

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All JobsAws Machine Learning JobsAws Machine Learning Jobs in Portland, OR

Aws Machine Learning information

See Portland, OR salary details

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$74

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How much do aws machine learning jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for aws machine learning in Portland, OR is $74.30, according to ZipRecruiter salary data. Most workers in this role earn between $66.01 and $86.68 per hour, depending on experience, location, and employer.

What is an AWS Machine Learning?

An AWS Machine Learning job involves designing, building, and deploying machine learning models using Amazon Web Services (AWS) cloud infrastructure. Professionals in this role work with services like Amazon SageMaker, AWS Lambda, and AWS Glue to develop AI-driven applications. They optimize models for scalability, integrate them into cloud-based systems, and ensure efficient data processing. Strong knowledge of machine learning algorithms, AWS architecture, and MLOps best practices is essential for success in this role.

What does an AWS Machine Learning do?

In an AWS Machine Learning position, you'll typically design, develop, and deploy machine learning models using AWS services like SageMaker, Glue, and Lambda. Daily tasks often include data preprocessing, building and training models, and optimizing performance for production environments. You'll collaborate closely with data engineers, software developers, and business analysts to translate business needs into technical solutions. The role may also involve monitoring deployed models, managing cloud resources, and staying updated on new AWS features to ensure efficient and scalable machine learning workflows.

What are the key skills and qualifications needed for an AWS Machine Learning?

To thrive as an AWS Machine Learning professional, you need a strong understanding of machine learning principles, proficiency in programming languages like Python, and experience with AWS cloud services such as SageMaker. AWS Certified Machine Learning certification and familiarity with data pipelines, EC2, and Lambda are commonly required. Strong problem-solving, communication, and teamwork skills help you translate business requirements into technical solutions and collaborate effectively with diverse stakeholders. These skills are essential to efficiently deploy and manage scalable machine learning models that deliver business value in cloud-based environments.

Does AWS use machine learning?

AWS offers a wide range of machine learning services and tools, such as Amazon SageMaker, which enable developers and data scientists to build, train, and deploy machine learning models. As a cloud provider, AWS integrates machine learning into its infrastructure to support various applications, making it a key platform for machine learning professionals. Knowledge of AWS services and machine learning concepts is valuable for roles like AWS Machine Learning specialists.

Is AWS Machine Learning a high paying job?

AWS Machine Learning roles are generally well-paid due to the specialized skills required, such as expertise in cloud computing, data science, and machine learning frameworks. Salaries vary based on experience, location, and certifications, but they tend to be higher than average for tech roles with similar responsibilities.

What are the most commonly searched types of Aws Machine Learning jobs in Portland, OR?

The most popular types of Aws Machine Learning jobs in Portland, OR are:

What are popular job titles related to Aws Machine Learning jobs in Portland, OR?

For Aws Machine Learning jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Aws Machine Learning jobs in Portland, OR look for?

The top searched job categories for Aws Machine Learning jobs in Portland, OR are:

Aws Machine Learning jobs near you
Infographic showing various Aws Machine Learning job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $154,542 per year, or $74.3 per hour.

Lead Data Engineer

Nike

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Posted 27 days ago

Nike rating

7.6

Company rating: 7.6 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

7th of 104 rated fashion retailers

Job description

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 enterprise data strategy at Nike. Reporting to the Engineering Director, this team partners with data scientists, engineers, analysts, and product managers to build a cross-capability data foundation and a semantic layer that powers Advanced Analytics, Business Intelligence, and AI solutions driving business growth.
WHO WE ARE LOOKING FOR
We're looking for a Lead Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions within Nike's CP&I organization. This role drives the development of robust data products that support Business Intelligence and AI initiatives across the business. The candidate will lead technical design and development while mentoring junior engineers and setting standards for data governance, performance, and engineering excellence.
We're seeking someone with deep expertise in distributed data processing and cloud-based data platforms who can translate complex business requirements into reliable, production-grade solutions. The ideal candidate brings strong leadership instincts, excels in cross-functional collaboration, and communicates technical concepts clearly to both engineering peers and non-technical stakeholders. Success in this role requires a builder's mindset, a commitment to continuous improvement, and the ability to thrive in a fast-paced environment where data directly fuels innovation and growth.
  • Bachelor's degree or equivalent combination of education, experience, or training
  • 8+ years of experience as a Data Engineer with strong expertise in Databricks, PySpark, SQL, and Apache Spark
  • Hands-on experience with the Databricks Lakehouse Platform, Medallion architecture, Delta Lake, and AWS data services (S3, RDS)
  • Proven experience leading and mentoring data engineering teams, with strong skills in CI/CD, Git, and DevOps practices
  • Experience with data modeling, ETL/ELT processes, real-time data processing frameworks (Kafka, Kinesis, or similar), and cross-functional stakeholder communication

Preferred qualifications:
  • Knowledge of Generative AI and Machine Learning pipelines and integrating them into production environments
  • Databricks certification (e.g., Databricks Certified Data Engineer or Databricks Certified Developer for Apache Spark)

WHAT YOU'LL WORK ON
You'll be at the forefront of building Nike's data foundation and semantic layer - designing and delivering the pipelines, frameworks, and data products that turn raw data into insights shaping product innovation and business strategy. This is hands-on, high-impact work at the intersection of engineering craft and enterprise scale.
  • Lead the design, development, and deployment of scalable data pipelines and architectures that power analytics and AI initiatives across CP&I
  • Partner with data scientists, analysts, product managers, and business stakeholders to translate requirements into technical specifications and deliver solutions that drive decision-making
  • Mentor junior data engineers and champion best practices in coding standards, data governance, and performance optimization
  • Build and maintain robust, reusable data engineering components, frameworks, and libraries that process data from diverse sources with consistency and quality
  • Monitor, troubleshoot, and optimize data pipelines to ensure high availability, performance, and reliability at enterprise scale
  • Implement CI/CD pipelines to automate deployment and testing of data engineering workflows
  • Participate in code reviews and contribute to a culture of collaboration, innovation, and continuous improvement

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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