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Amazon Data Engineer Jobs in Seattle, WA (NOW HIRING)

1 point system

Ex Amazon Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Role Overview This role supports a compliance solutions team by combining data engineering and software engineering responsibilities. You will build data pipelines, backend services, and analytics ...

Amazon

Data Engineer II- AMZ26497.1

Seattle, WA · On-site

$144K - $178K/yr

Amazon Data Services, Inc. Position: Data Engineer II Location: Seattle, WA Multiple Positions Available: Design, develop, implement, test, document, and operate large-scale, high-volume, high ...

Amazon

Sr. Data Engineer, Amazon Fuse

Seattle, WA · On-site

$130K - $156K/yr

... Amazon, including millions of Prime products and our full catalog of Prime Video. The Fuse Data Analytics (DA) team is looking for a Sr. Data Engineer to influence Fuse's decisions and direction ...

Amazon

Business Intel Engineer II - AMZ27162.1

Seattle, WA · On-site

$106K - $160K/yr

Amazon Data Services, Inc. Position: Business Intel Engineer II - AMZ27162.1 Location: Seattle, WA Multiple Positions Available: Support senior management by managing metrics reporting and performing ...

Amazon

Data Engineer II , UTR Data Engineering

Bellevue, WA · On-site

$129K - $155K/yr

Our pipelines feed the planning systems that determine how Amazon staffs its delivery network ... We are hiring a Data Engineer to own significant portions of our data architecture, drive the ...

Amazon

Data Engineer II , UTR Data Engineering

Bellevue, WA · On-site

$129K - $155K/yr

Our pipelines feed the planning systems that determine how Amazon staffs its delivery network ... We are hiring a Data Engineer to own significant portions of our data architecture, drive the ...

Amazon

Data Engineer, SPTC

Seattle, WA · On-site

$130K - $156K/yr

Amazon's growth requires leaders who move fast, have an entrepreneurial spirit to create new ... They know and love working with data engineering tools, can model multidimensional datasets, and ...

Amazon

Data Engineer, SPTC

Seattle, WA · On-site

$130K - $156K/yr

Amazon's growth requires leaders who move fast, have an entrepreneurial spirit to create new ... They know and love working with data engineering tools, can model multidimensional datasets, and ...

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All JobsAmazon Data Engineer JobsAmazon Data Engineer Jobs in Seattle, WA

Amazon Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do amazon data engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for amazon data engineer in Seattle, WA is $147,618.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 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 Seattle, WA? The most popular types of Amazon Data Engineer jobs in Seattle, WA are:
What are popular job titles related to Amazon Data Engineer jobs in Seattle, WA? For Amazon Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Amazon Data Engineer jobs in Seattle, WA look for? The top searched job categories for Amazon Data Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Amazon Data Engineer jobs? Cities near Seattle, WA with the most Amazon Data Engineer job openings:
Amazon Data Engineer jobs near you
Infographic showing various Amazon Data Engineer job openings in Seattle, WA as of June 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $147,618 per year, or $71 per hour.
Ex Amazon Data Engineer

Ex Amazon Data Engineer

1 point system

Bellevue, WA • On-site

$129K - $155K/yr

Contractor

Posted 15 days ago

Job description

Role Overview

This role supports a compliance solutions team by combining data engineering and software engineering responsibilities. You will build data pipelines, backend services, and analytics components for a satellite communications service. The focus is on developing regulatory and compliance-driven data solutions, with approximately 60-70% greenfield development and the remainder enhancing existing systems. You will work within established architectural patterns to help meet regulatory obligations across multiple jurisdictions.

Key Responsibilities

  • Implement logical and physical data models and ETL/ELT pipelines to consolidate compliance data.
  • Build and maintain event-driven integration components, such as data pipelines, Lambda functions, and Step Functions workflows.
  • Implement backend services including APIs, workflow orchestrations, and dashboard backends.
  • Write, test, and deploy well-written, maintainable, and secure production code.
  • Implement data quality checks, validation, and monitoring for compliance-critical datasets.
  • Extend existing services to support new compliance requirements and jurisdictions.
  • Build components that handle sensitive regulatory data with appropriate encryption and access controls.
  • Contribute to self-service analytics through reporting tools and dashboards.
  • Maintain production systems with comprehensive monitoring, alarming, and logging.
  • Participate in code reviews, design discussions, and sprint ceremonies.

Required Qualifications

Education: A Bachelor's degree in Computer Science, Engineering, Data Science, or a related field is required.

Experience: 3+ years of data engineering experience, including data modeling, pipeline development, and data warehouse design, along with 3+ years of non-internship professional software development experience building production services.

Technical Skills: Proficiency in Python, Java, or TypeScript; strong SQL skills; and experience with AWS services such as Lambda, API Gateway, Step Functions, and DynamoDB.

Preferred Qualifications

  • Experience building event-driven architectures using Step Functions, EventBridge, or SQS/SNS.
  • Experience with serverless development patterns on AWS.
  • Experience with infrastructure as code (CDK, CloudFormation).
  • Familiarity with regulatory compliance or telecommunications domains.
  • AWS certification.