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

Hp

Forecasting Data Engineer

Vancouver, WA · On-site

$105K - $161K/yr

Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills Agile Methodology Amazon Web Services Apache Spark Big Data Computer Science Data Analysis ...

Pwc

Data Engineer - Manager

Portland, OR

$99K - $232K/yr

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment ...

Pwc

Data Engineer - Manager

Portland, OR

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Pwc

Data Engineer - Senior Associate

Portland, OR

$77K - $202K/yr

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions ...

Deloitte

Forward Deployed Engineer- AWS

Portland, OR · On-site

... AI&Data including hands on experience with one of the following key platforms/products; Amazon ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...

Deloitte

Senior Forward Deployed Engineer- AWS

Portland, OR · On-site

$110K - $152K/yr

... AI&Data including hands on experience with one of the following key platforms/products;Amazon ... At Deloitte, Senior Forward Deployed Engineers (SFDE) don't just build AI solutions, they help ...

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All JobsAmazon Data Engineer JobsAmazon Data Engineer Jobs in Portland, OR

Amazon Data Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do amazon data engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for amazon data 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.

What are the key skills and qualifications needed to thrive in the Amazon Data Engineer position, and why are they important?

To thrive as an Amazon Data Engineer, you need strong proficiency in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically accompanied by a degree in computer science or a related field. Familiarity with AWS cloud services (like Redshift, S3, and Glue), big data tools, and relevant certifications such as AWS Certified Data Analytics are highly valued. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-functional teams set standout candidates apart. These skills and qualities ensure data is accurately managed, integrated, and made accessible for analytics and business decisions in Amazon's complex environment.

What types of projects and data challenges do Amazon Data Engineers typically work on in their day-to-day roles?

As an Amazon Data Engineer, you can expect to work on projects involving the design, development, and maintenance of large-scale data pipelines and data warehouses. Common challenges include optimizing data flows for efficiency, handling massive and complex datasets, and ensuring data quality and integrity across various sources. You'll frequently collaborate with data scientists, analysts, and other engineering teams to create scalable solutions that support business intelligence and machine learning initiatives. The fast-paced environment provides opportunities to solve unique technical problems and drive data-driven decision-making across Amazon’s diverse businesses.

What is an Amazon Data Engineer job?

An Amazon Data Engineer is responsible for designing, building, and maintaining data infrastructure to support business intelligence and analytics. They work with large-scale datasets, optimize data pipelines, and ensure efficient data processing. Engineers collaborate with data scientists, analysts, and software teams to enable data-driven decision-making. Key skills include SQL, Python, ETL development, and experience with AWS services like Redshift, S3, and Glue.

What are the most commonly searched types of Amazon Data Engineer jobs in Portland, OR? The most popular types of Amazon Data Engineer jobs in Portland, OR are:
What are popular job titles related to Amazon Data Engineer jobs in Portland, OR? For Amazon Data Engineer jobs in Portland, OR, the most frequently searched job titles are:
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Amazon Data Engineer jobs near you
Need Sr Big Data Engineer at Beaverton, OR Only W2

Need Sr Big Data Engineer at Beaverton, OR Only W2

USM

Beaverton, OR • On-site

$58 - $76.75/hr

Contractor

Posted 25 days ago

Job description

Job Description

Hi,

We have immediate opportunity with our direct client send your resume asap upon your interest. Thank you.

Position: Sr Big Data Engineer

Location: Beaverton, OR.

Duration: Long Term

Skills

Typical Office: This is a typical office job, with no special physical requirements or unusual work environment.

Core responsibilities: Expert data engineers will work with product teams across client to help automate and integrate various of data domains with a wide variety of data profiles (different scale, cadence, and volatility) into client's next-gen data and analytics platform. This is an opportunity to work across multiple subject areas and source platforms to ingest, organize, and prepare data through cloud-native processes.

Required skills/experience:

- 5+ years of professional development experience between either Python (preferred) or Scala/Java; familiarity with both is ideal

- 5+ years of data-centric development with a focus on efficient data access and manipulation at multiple scales

- 3+ years of experience with the HDFS ecosystem of tools (any distro, Spark experience prioritized)

- 3+ years of significant experience developing within the broader AWS ecosystem of platforms and services

- 3+ years of experience optimizing data access and analysis in non-HDFS data platforms (Traditional RDMS's, NoSQL / KV stores, etc)

- Direct task development and/or configuration experience with a remote workflow orchestration tool - Airflow (preferred), Amazon Data Pipeline, Luigi, Oozie, etc.

- Intelligence, strong problem-solving ability, and the ability to effectively communicate to partners with a broad spectrum of experiential backgrounds

Several of the following skills are also desired:

- A demonstrably strong understanding of security and credential management between application / platform components

- A demonstrably strong understanding of core considerations when working with data at scale, in both file-based and database contexts, including SQL optimization

- Direct experience with Netflix Genie is another huge plus

- Prior experience with the operational backbone of a CI/CD environment (pipeline orchestration + configuration management) is useful

- Clean coding practices, passion for development, being a generally good team player, etc, etc (and experience with GitHub) is always nice

Keys to Success:

- Deliver exceptional customer service

- Demonstrate accountability and integrity

- Be willing to learn and adapt every day

- Embrace changeSkills

Regards
Nithya

Additional Information

All your information will be kept confidential according to EEO guidelines. please send the profiles to nithyar(at)usmsystems.com and contact No# 703-794-2380.

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