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No Experience Data Engineer Jobs in Bothell, WA (NOW HIRING)

Prime members can customize their viewing experience and find their favorite movies, series ... The Data Engineer will partner with Senior Data Engineers and SDE teams to design and maintain our ...

Prime members can customize their viewing experience and find their favorite movies, series ... The Data Engineer will partner with Senior Data Engineers and SDE teams to design and maintain our ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Preferred experience includes familiarity with additional programming languages such as Java, Scala ... No immigration sponsorship is available for this position. The firm's expected hiring range for ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Handson experience with Azure data services ADF Synapse Databricks ADLS and Azure DevOps * Deep understanding of data modeling warehousing and distributed computing * Experience with CICD pipelines ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Experience in Synapse with PySpark * Knowledge of Big Data pipelines, Data Engineering * Working Knowledge of the MSBI stack on Azure * Working Knowledge of Azure Data factory, Azure Data Lake, and ...

Data Engineer

Seattle, WA

$130K - $156K/yr

The Data Engineer will be responsible for designing, building, and maintaining robust and scalable ... Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests, docs), and ...

"Data Engineer"

Seattle, WA · On-site

$130K - $157K/yr

I have an opportunity for "Data Engineer" and looking for a candidate who can join Immediately if ... yrs of experience JD Python Developer with Snowflake Exp. & Scala with Spark Best Regards Syed ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Cosmos SQL experience Azure Power BI * Knowledge of Azure Data Factory ADLS * Individuals with strong technical background in SQL SQL Server data engineering BI Kusto Data Analysis * and strong ...

Data Engineer

Bellevue, WA · On-site

$130K - $150K/yr

The approach enables earlier intervention, improves the patient experience, reduces administrative ... No bystanders. See a gap or a risk -- bring it forward. Effort and credit are shared. * Honest ...

Data Engineer

Redmond, WA · On-site

$80 - $85/hr

Pay Range: $80/hr - $85/hr The main function of an AI Data Engineer is to design, develop, enhance, validate, maintain, and support telemetry reporting, data solutions, automation, and AI-assisted ...

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

Required : • Degree in Computer Science, Mathematics, Statistics, or other data-intensive discipline with substantive engineering experience • 2+ years demonstrated development experience using ...

Data Engineer II

Seattle, WA

$130K - $156K/yr

As a Data Engineer II in this role, you'll apply your passion for data, along with your previous experience working with large-scale datasets, data pipelines, and distributed data systems to help our ...

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Required : • Graduation Year: 2024, 2025 or 2026 • GPA: 3.5 • Experience: 1+ years • ... data engineering or software engineering experience, including internships and academic project ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

AWS Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

AWS Data Engineer Location: Seattle, WA Onsite position Fulltime position ... NO Corp to Corp***** JD Design and Development: Design, develop, and implement data pipelines using ...

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Showing results 1-20

No Experience Data Engineer information

See Bothell, WA salary details

$49.7K

$145K

$198.4K

How much do no experience data engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for no experience data engineer in Bothell, WA is $145,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $153,700.00 per year, depending on experience, location, and employer.

What is the difference between No Experience Data Engineer vs Data Engineer?

AspectNo Experience Data EngineerData Engineer
Required CredentialsBasic understanding of data concepts, entry-level certificationsDegree in Computer Science or related field, advanced certifications often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time professional roles in tech or data teams
Employer & Industry UsageStartups, companies hiring entry-level data rolesTech companies, finance, healthcare, and large enterprises
Search & Comparison IntentYesYes

The main difference between a No Experience Data Engineer and a Data Engineer lies in experience and qualifications. The No Experience Data Engineer is typically an entry-level role suited for those just starting, often requiring basic data knowledge and certifications. In contrast, a Data Engineer usually has relevant experience, a degree, and advanced skills, working in more complex environments. Both roles are essential in data-driven organizations, but they differ significantly in responsibilities and expectations.

What are 'No Experience Data Engineers'?

No Experience Data Engineers are individuals who are entering the field of data engineering without prior professional experience in the role. They may have relevant educational backgrounds or have completed certifications and personal projects, but are seeking entry-level positions to gain practical, on-the-job experience. These roles typically involve learning to build and maintain data pipelines, manage databases, and work with big data tools under the guidance of more experienced engineers. Employers look for foundational skills in programming, SQL, and an understanding of data systems, even if the candidate has not previously worked as a data engineer.

Can I make 200k as a data engineer?

Achieving a salary of 200k as a data engineer is possible, especially with significant experience, advanced skills in tools like Spark or cloud platforms, and working in high-cost-of-living areas or senior roles. Entry-level data engineers typically earn lower salaries, but with experience, certifications, and specialization, higher compensation is attainable.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data processing and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data systems, and their skills in programming, database management, and system architecture remain in high demand. AI tools can augment their work but do not eliminate the need for human expertise in complex data environments.

What engineers make $500,000?

Highly experienced data engineers with specialized skills in big data, cloud platforms, and advanced analytics can earn $500,000 or more annually, especially in senior or leadership roles at large companies. Achieving this level typically requires extensive experience, advanced certifications, and a strong track record of managing complex data infrastructure.

What are some effective ways for entry-level Data Engineers to quickly gain practical experience and contribute to their team?

As an entry-level Data Engineer, you can quickly gain practical experience by volunteering for small-scale data projects, assisting with data pipeline maintenance, and exploring internal documentation. Collaborating closely with senior engineers and asking for feedback accelerates learning and helps you understand best practices. Participating in code reviews and pair programming sessions also enhances your technical and teamwork skills, making it easier to contribute meaningfully to your team’s objectives.

Can I get a data engineer job with no experience?

Entry-level data engineering roles often require some knowledge of programming, databases, and data processing tools like SQL, Python, or cloud platforms. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve chances of securing such positions.

What are the key skills and qualifications needed to thrive as a No Experience Data Engineer, and why are they important?

To thrive as a No Experience Data Engineer, you need a strong understanding of data structures, SQL, and basic programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with tools like SQL databases, ETL pipelines, and cloud platforms (e.g., AWS, Google Cloud) is highly beneficial, and obtaining entry-level certifications can be helpful. Strong problem-solving abilities, attention to detail, and a willingness to learn are critical soft skills for those starting out in this field. These skills and qualities enable newcomers to efficiently manage, process, and analyze data, laying a solid foundation for growth in data engineering roles.
What are the most commonly searched types of Data Engineer jobs in Bothell, WA? The most popular types of Data Engineer jobs in Bothell, WA are:
What are popular job titles related to No Experience Data Engineer jobs in Bothell, WA? For No Experience Data Engineer jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching No Experience Data Engineer jobs in Bothell, WA look for? The top searched job categories for No Experience Data Engineer jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for No Experience Data Engineer jobs? Cities near Bothell, WA with the most No Experience Data Engineer job openings:
Infographic showing various No Experience Data Engineer job openings in Bothell, WA as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 11% Part Time, and 9% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $145,008 per year, or $69.7 per hour.
Data Engineer, Partner Experience

Data Engineer, Partner Experience

Amazon

Seattle, WA

$130K - $156K/yr

Full-time

Posted 12 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,008 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.
Are you interested in shaping the future of entertainment

Do you want to invent, disrupt and redefine what entertainment means for fans, creators, and communities all around the globe?
As part of the Prime Video team, you'll get to work on projects that are fast-paced, challenging, and varied. Also, you'll get to experiment with new possibilities, take risks, and collaborate with remarkable people.
We'll look for you to bring your diverse perspectives, ideas, and skill sets to make Prime Video even better for our customers. With global opportunities for talented creatives, technologists, marketing professionals and so much more, you can decide where a career with Prime Video takes you!
Prime Video's Partner and Content Foundations (PCF) product and data organization obsesses over partners by delivering world-class tools that enable them to launch, grow, and scale their businesses across Prime Video's business lines.
PCF Data fulfills the data and analytics needs for the PCF organization by building scalable data infrastructure, automated pipelines, and trusted metrics that power supply chain analytics, catalog analytics, and content delivery measurement


The team owns core Catalog and Quality datasets, tracking content availability, on-time delivery, offer quality, and supply chain efficiency across Prime Video's global operations. By producing quality data, providing actionable insights, and enabling self-service analytics, PCF Data drives data-driven decision-making across Product, Tech, and Operations, consistent with the goal of Getting, Keeping, and Delighting Prime Video Viewers.
Key job responsibilities
We are seeking a talented Data Engineer to enhance PCF Data's core data infrastructure by implementing AWS services to build data pipelines, improve data accuracy, reduce latency, increase service stability, and ensure compliance with Amazon-wide data regulations. The Data Engineer will partner with Senior Data Engineers and SDE teams to design and maintain our Redshift-based data warehouse environment, building scalable architectures and migrating critical pipelines to serverless compute platforms

You will also contribute to AI enablement efforts, building the data foundations that power self-service analytics and AI-driven insight generation for our product teams.
As a Data Engineer on the team, you will work with very large datasets in one of the world's largest and most complex data lake and data warehouse environments. You will design, build, and maintain robust data infrastructure to process large volumes of data from various sources.
- Writing clean, maintainable code that adheres to best practices
- Leveraging AWS data processing services
- Possessing broad knowledge of different data types and when to use them
- Understanding data security and compliance standards to ensure alignment with company policies and regulations
- Using GenAI to improve efficiency and accelerate delivery
A day in the life
Write the design document to propose the solutions to resolve challenging data processing and data handling.
Meet with peers to discuss proposed solutions.
Review design documents with product managers, senior management, and Senior SDEs to communicate your approach and gather feedback.
Build data infrastructure and pipelines using AWS services.
About the team
We are a centralized data team supporting the Partner and Content Foundations. We process big data using advanced AWS services

We work closely with PMs, TPMs, SDEs, and Applied Scientists, and collaborate with other data teams outside of the Partner and Content Foundations organization to deliver products for Prime Video partners.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

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