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Entry Level Aws Data Engineer Jobs in Seattle, WA

AWS Databases, Analytics and AI/ML Products and Services is one of the largest and fast-growing business unit within AWS. We are working to rebuild and revolutionize data engineering and business ...

AWS Databases, Analytics and AI/ML Products and Services is one of the largest and fast-growing business unit within AWS. We are working to rebuild and revolutionize data engineering and business ...

Data Engineer, Amazon Fuse

Seattle, WA · On-site

$130K - $156K/yr

... AWS big data technologies. - Design and implement ETL pipelines and BI solutions, identifying ... and BI Engineers to explore new data sources and deliver insights. - Stay up to date with ...

Data Engineer, Amazon Fuse

Seattle, WA · On-site

$130K - $156K/yr

... AWS big data technologies. - Design and implement ETL pipelines and BI solutions, identifying ... and BI Engineers to explore new data sources and deliver insights. - Stay up to date with ...

Showing results 21-40

Entry Level Aws Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do entry level aws data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for entry level aws data engineer in Seattle, WA is $147,621.00, 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 does an entry level AWS data engineer do?

An Entry Level AWS Data Engineer is responsible for helping to design, build, and maintain data pipelines and infrastructure in Amazon Web Services (AWS) environments. They work with data storage tools like Amazon S3, databases such as Amazon RDS or Redshift, and data processing services like AWS Glue or EMR. Their role often involves data extraction, transformation, and loading (ETL), ensuring data is accessible and usable for analytics and business needs. They typically collaborate with data scientists, analysts, and senior engineers while following best practices for cloud security and scalability.

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

To thrive as an Entry Level AWS Data Engineer, you need a solid understanding of data structures, SQL, Python or similar programming languages, and a basic grasp of cloud computing concepts, ideally supported by a relevant degree or coursework. Familiarity with AWS services such as S3, Redshift, Glue, and data visualization or ETL tools, along with certifications like AWS Certified Data Analytics – Specialty, is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills help you stand out in collaborative, fast-paced environments. These skills and qualifications are crucial for building scalable data solutions, ensuring data quality, and enabling data-driven decision-making for organizations using AWS.

What are some typical projects an entry level AWS data engineer might work on?

As an Entry Level AWS Data Engineer, you may be involved in projects such as building data pipelines, automating data ingestion, or assisting in the migration of on-premises data to AWS cloud services. These projects typically require collaboration with data analysts, senior engineers, and sometimes business stakeholders to ensure that clean, well-structured data is available for reporting and analytics. Your contributions help streamline data flows, improve data quality, and support the team’s ability to make data-driven decisions, providing a strong foundation for future growth and responsibilities.

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

AspectEntry Level Aws Data EngineerData Analyst
Required CredentialsBasic AWS certifications, SQL, PythonExcel, SQL, basic data visualization tools
Work EnvironmentCloud platforms, data pipelines, ETL processesData interpretation, reporting, dashboards
Industry UsageTech, finance, healthcare with cloud infrastructureBusiness, marketing, finance sectors

While both roles involve working with data, Entry Level Aws Data Engineers focus on building and maintaining cloud-based data pipelines using AWS tools, whereas Data Analysts interpret data and create reports to support business decisions. The roles often overlap in skills like SQL and basic scripting, but differ in their core responsibilities and work environments.

What are the most commonly searched types of Aws Data Engineer jobs in Seattle, WA?

The most popular types of Aws Data Engineer jobs in Seattle, WA are:

What are popular job titles related to Entry Level Aws Data Engineer jobs in Seattle, WA?

For Entry Level Aws Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Entry Level Aws Data Engineer jobs in Seattle, WA look for?

The top searched job categories for Entry Level Aws Data Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Entry Level Aws Data Engineer jobs?

Cities near Seattle, WA with the most Entry Level Aws Data Engineer job openings:

Infographic showing various Entry Level Aws Data Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $147,621 per year, or $71 per hour.

Data Engineer II, AWS Marketplace and Partner Services

Amazon

Seattle, WA • On-site, Remote

$130K - $156K/yr

Full-time

Posted 26 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,093 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

AWS Marketplace and Partner Services (AMPS) is a fast growing org which supports a number of personas including but not limited to Sellers, Partners, Partner Development Managers and AWS Marketplace. AMPS team is driven by the mission to provide best partner experience worldwide and create a better future for our customers and communities through a culture of Customer obsession, innovation and a relentless pursuit of excellence. Data Engineering is a horizontal layer that supports all the foundational data needs for the organization.
As a Data Engineer on the AMPS team, you will work directly with Software Engineering, Business Intelligence, Data Science and Product teams to continuously improve and build our data infrastructure, data model, tools and data pipelines

Your work will directly influence and drive organizational insights, customer facing features and machine learning models.
To be successful in this role, you should have strong database design skills, comfort with large data sets and an eagerness to invent. You should have a passion for data and analytics with the technical skills needed to build for scale and automation.
Key job responsibilities
- Architecture design and implementation of next generation data pipelines and BI solutions
- Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.
- Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
A day in the life
- Collaborate with Software Engineers, Product Managers, Data Scientists and Business Intelligence Engineers to design, plan and deliver on high priority data initiatives serving internal stakeholders and AWS customers.
- Build automated, fault tolerant and scalable data solutions leveraging state of the art technologies including but not limited to Spark, EMR, Python, Redshift, Glue and S3.
- Look around corners and be creative - Continuously evaluate and improve our strategy, architecture, tooling and codebase to maximize performance, scalability and availability


About the team
We are the Data Engineering team in AMPS, powering analytics for the AWS Marketplace Platform. Our data serves external Marketplace sellers and over 3,000 internal Finance, Sales, and Partner stakeholders. We are building a unified Canonical Data Model on Redshift and Data Lake, greenfield data engineering at scale: designing ETL frameworks, migrating billions of rows, and treating data quality and security as first-class concerns.

We work across Redshift, Airflow, Glue, S3, and CDK, and we are early adopters of GenAI in our engineering workflow. Come own hard, ambiguous problems end to end.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply

If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection

Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer

That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture.

When we feel supported in the workplace and at home, there's nothing we can't achieve.


What Amazon employees say

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Hours and flexibility

Workplace

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US