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

... AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Data Engineer

Beaverton, OR · On-site

$140 - $150/hr

Serverless data pipelines using AWS Services to move and transform data at scale * Event‑driven ... Infrastructure & DevOps: * Write infrastructure as code using Terraform to manage all cloud ...

New

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Databricks AWS Apache Spark Python PySpark Previous Clients experience a plus. Any ETWs let go at the end of 05/31 can be considered since a 90 day break would be fulfilled. Skills Data engineer ...

Data Engineer - Databricks

Beaverton, OR

$119K - $143K/yr

Data Engineer - Databricks Location: Beaverton, OR - Hybrid (3 Days Onsite) Contract-to-Hire Job ... Work with cloud platforms such as Azure, AWS, or GCP , with preference for Azure . * Develop and ...

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Data Engineer - Databricks Location: Beaverton, OR - Hybrid (3 Days Onsite) Contract-to-Hire Job ... Work with cloud platforms such as Azure, AWS, or GCP , with preference for Azure . * Develop and ...

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Company Description Data Engineer - Databricks Location: Beaverton, OR - Hybrid (3 Days Onsite ... Work with cloud platforms such as Azure, AWS, or GCP , with preference for Azure . * Develop and ...

Sr. Data Engineer

Beaverton, OR · On-site

$40 - $45/hr

* Role: Data Engineer ( Data Bricks) * Location: Oregon, Beaverton (Hybrid * 6+ years of IT ... Hands-on experience with Azure/AWS/GCP, preferably Azure, and orchestration tools (ADF/Airflow)

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ... Solution Engineering * Build AI-enabled solutions, agentic platforms, and workflows across ...

Lead Data Engineer- Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Data Engineer ( Data Bricks) * Location : Oregon, Beaverton (Hybrid) * No of Years -14+ Years * 14 ... Hands-on experience with Azure/AWS/GCP , preferably Azure, and orchestration tools (ADF/Airflow)

... AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks ...

Sr. Data Engineer

Beaverton, OR · On-site

$100 - $130/hr

... AWS and related services (e.g., EC2, S3, ECS, Kinesis, SQS, SNS, Lambda, Airflow) * Experience in data-centric programming languages (e.g., Python or Go) * Experience with Terraform * Experience with ...

New

... AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks ...

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Showing results 1-20

Aws Data Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.3K

How much do aws data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for aws data engineer in Portland, OR is $137,584.00, 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.

What is an AWS data engineer?

AWS Data Engineers are professionals who design, build, and maintain data pipelines and architectures on Amazon Web Services (AWS). They work with large datasets, using AWS services such as Amazon S3, Redshift, Glue, and EMR to collect, transform, and store data for analytics or business intelligence. Their responsibilities often include ensuring data reliability, scalability, and security while optimizing data workflows and integrating various cloud-based tools. AWS Data Engineers collaborate with data scientists, analysts, and other stakeholders to enable data-driven decision-making. They typically have strong skills in programming, cloud infrastructure, and database management.

What are the key skills and qualifications needed to thrive as an AWS data engineer?

To thrive as an AWS Data Engineer, you need strong skills in data modeling, ETL processes, SQL, and a solid understanding of AWS services, typically supported by a degree in computer science or a related field. Familiarity with AWS tools like Redshift, Glue, S3, Lambda, and certifications such as AWS Certified Data Analytics are highly beneficial. Problem-solving abilities, effective communication, and adaptability are crucial soft skills for collaborating with teams and managing complex data projects. Mastery of these skills ensures efficient data pipeline development, reliable data solutions, and the ability to support business intelligence in a cloud environment.

What are some common challenges AWS data engineers face when managing large-scale data pipelines?

AWS Data Engineers often encounter challenges related to optimizing data pipelines for scalability and cost efficiency. Managing data ingestion from diverse sources, ensuring data quality, and handling real-time data processing can be complex at scale. Additionally, they must regularly monitor and troubleshoot pipeline failures, integrate new AWS services, and collaborate closely with data scientists, analysts, and DevOps teams to ensure data accessibility and security. Proactively addressing these challenges is vital for maintaining reliable and efficient data workflows.

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

AspectAws Data EngineerData Analyst
Required CredentialsAWS certifications, SQL, Python, data engineering skillsSQL, Excel, data visualization tools, sometimes basic programming
Work EnvironmentCloud platforms, big data environments, data pipelinesBusiness intelligence tools, spreadsheets, reporting dashboards
Employer & Industry UsageTech companies, cloud service providers, enterprises using AWSMarketing, finance, healthcare, and other industries analyzing data

While both roles work with data, Aws Data Engineers focus on building and maintaining data pipelines in cloud environments using AWS tools, whereas Data Analysts interpret data to generate insights and reports. The roles often complement each other in data-driven organizations.

Is AWS Data Engineer in demand?

AWS Data Engineers are in high demand due to the increasing adoption of cloud data platforms and the need for scalable data processing solutions. Skills in AWS services like S3, Redshift, and Glue, along with data modeling and ETL expertise, are highly sought after by employers across various industries.

What does an AWS Data Engineer do?

An AWS Data Engineer designs, builds, and maintains data pipelines and infrastructure on Amazon Web Services. They work with tools like AWS Glue, Redshift, S3, and Lambda to process and analyze large datasets, ensuring data quality and security. Strong programming skills and knowledge of cloud architecture are essential for this role.

What is the salary of AWS Data Engineer?

The average salary for an AWS Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications such as AWS Certified Data Analytics. Senior roles or those with specialized skills in cloud architecture may earn higher salaries.

What are the most commonly searched types of Aws Data Engineer jobs in Portland, OR?

The most popular types of Aws Data Engineer jobs in Portland, OR are:

What job categories do people searching Aws Data Engineer jobs in Portland, OR look for?

The top searched job categories for Aws Data Engineer jobs in Portland, OR are:

Infographic showing various Aws Data Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $137,584 per year, or $66.1 per hour.

$120K - $144K/yr

Contractor

Re-posted 29 days ago


Job description


Job Duties:
• Develop and support data solutions in support of Sustainability reporting and analytics requirements
• Engage with product owner, technology lead, report developers, product analysts, and business partners to understand capability requirements and develop data solutions based on product backlog priorities
Requirements
Skills / Qualifications:
• 5+ years of experience with data engineering with emphasis on data analytics and reporting
• Strong experience with Python or equivalent language
• Experience developing with Spark, preferably leveraging AWS EMR managed service
• Expert experience with SQL and Relational database engineering (Oracle, SQL Server, Teradata)- expert-level SQL abilities
• Experience with AWS data engineering services, resources and architecture
• Experience with agile delivery methodologies- Scrum, SAFe, Extreme Programming
• Experience working with source-code management tools such as GitHub and Jenkins
• Understanding of microservices architecture and REST APIs
Skill Set
Data, Python, Spark