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Data Engineer Ml Jobs in Bothell, WA (NOW HIRING)

Amazon

Data Engineer II, DBS BI

Bellevue, 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 ...

Amazon

Data Engineer II, DBS BI

Bellevue, WA · On-site

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 ...

Amazon

Data Engineer II, DBS BI

Bellevue, WA · On-site

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 ...

Amazon

Data Engineer II, DBS BI

Bellevue, WA · On-site

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 ...

Vibotek LLC

Data Engineer

Seattle, WA

$130.30K - $156.50K/yr

... ML. * 3. Design simple, reusable data models to support training and inference. * 4. Implement data quality tests, documentation, and lineage in DBT * 5. Ensure performance optimization, cost ...

Amazon

Data Engineer II, AAE

Bellevue, WA · On-site

$129.20K - $155.20K/yr

Our Data Engineering team builds the intelligence infrastructure that makes this portfolio ... AI/ML to generate business insights, WBR summaries, and anomaly detection without manual ...

Weyerhauser Co

ML Engineer

Seattle, WA · On-site

You will work closely with data scientists, AI engineers, product managers, and platform teams to build scalable ML systems that support repeatability, governance, and continuous improvement across ...

Weyerhaeuser Company

ML Engineer

Seattle, WA · On-site

You will work closely with data scientists, AI engineers, product managers, and platform teams to build scalable ML systems that support repeatability, governance, and continuous improvement across ...

Amazon

Data Engineer II, AAE

Bellevue, WA

$129.20K - $155.20K/yr

Our Data Engineering team builds the intelligence infrastructure that makes this portfolio ... AI/ML to generate business insights, WBR summaries, and anomaly detection without manual ...

Deloitte

AI Data Engineer - Senior Consultant

Seattle, WA · Hybrid

$118.90K - $163.30K/yr

Deliver governed datasets and feature engineering/serving for ML training and real-time inference ... Establish data/model reliability and cost-performance discipline (data quality, schema evolution ...

Amazon

Data Engineer

Seattle, WA · On-site

$130.30K - $156.50K/yr

... ML-powered targeting models, drive higher economic value, and empower strategic decisions with ... As a Data Engineer at AWS, you will be working in a large, extremely complex and dynamic data ...

Amazon

Data Engineer

Seattle, WA · On-site

$130.30K - $156.50K/yr

... ML-powered targeting models, drive higher economic value, and empower strategic decisions with ... As a Data Engineer at AWS, you will be working in a large, extremely complex and dynamic data ...

Amazon

Data Engineer

Seattle, WA

$130.30K - $156.50K/yr

... ML-powered targeting models, drive higher economic value, and empower strategic decisions with ... As a Data Engineer at AWS, you will be working in a large, extremely complex and dynamic data ...

Curative AI, Inc.

Principal Data Engineer

Bellevue, WA · On-site

$185K - $220K/yr

Partner with data scientists and ML engineers to make high-quality, structured, and unstructured data available for training, inference, and real-time AI agents. * Performance at Scale: Optimize ...

Amazon

Data Engineer II, AAE

Bellevue, WA · On-site

$129.20K - $155.20K/yr

Our Data Engineering team builds the intelligence infrastructure that makes this portfolio ... AI/ML to generate business insights, WBR summaries, and anomaly detection without manual ...

Amazon

Data Engineer II, DBS BI

Bellevue, WA · On-site

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 ...

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All JobsData Engineer Ml JobsData Engineer Ml Jobs in Bothell, WA

Data Engineer Ml information

See Bothell, WA salary details

$51.4K

$184.5K

$272.2K

How much do data engineer ml jobs pay per year?

As of May 29, 2026, the average yearly pay for data engineer ml in Bothell, WA is $184,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,200.00 and $190,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Engineer ML, and why are they important?

To thrive as a Data Engineer ML, you need strong programming skills (especially in Python or Scala), knowledge of data modeling, and a solid foundation in database technologies, typically supported by a degree in computer science or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and ETL tools, as well as relevant certifications, is highly beneficial. Excellent problem-solving abilities, teamwork, and clear communication help you collaborate with data scientists and stakeholders effectively. These skills are essential for building robust data pipelines and infrastructure that enable scalable, high-quality machine learning solutions.

How do Data Engineer ML roles typically collaborate with data scientists and machine learning engineers on projects?

Data Engineer ML professionals work closely with data scientists and machine learning engineers by building and maintaining robust data pipelines, ensuring clean and reliable datasets are readily available for modeling and analysis. They often participate in meetings to understand model requirements, help optimize data storage for performance, and support the deployment of machine learning models into production environments. Effective collaboration involves continuous communication to troubleshoot data issues, implement data validation, and scale solutions as project needs evolve. This teamwork ensures that data-driven projects move efficiently from experimentation to deployment.

What does a Data Engineer ML do?

A Data Engineer ML (Machine Learning) is responsible for designing, building, and maintaining the data pipelines and infrastructure necessary for machine learning applications. They clean, process, and organize large datasets to ensure data quality and accessibility for data scientists and ML engineers. In addition, they may work on deploying machine learning models to production environments and optimizing data workflows for efficiency and scalability.

What is the difference between Data Engineer Ml vs Data Scientist?

AspectData Engineer MlData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, finance

Data Engineer Ml focuses on developing and maintaining data infrastructure and pipelines, while Data Scientists analyze data and build predictive models. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Data Engineer Ml jobs in Bothell, WA? For Data Engineer Ml jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Ml jobs in Bothell, WA look for? The top searched job categories for Data Engineer Ml jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Data Engineer Ml jobs? Cities near Bothell, WA with the most Data Engineer Ml job openings:
Data Engineer Ml jobs near you
Data Engineer II, DBS BI

Data Engineer II, DBS BI

Amazon

Bellevue, WA

Full-time

Posted 8 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,784 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers

Job description

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 intelligence systems within database, analytics and AI/ML organization to support fast growing business needs.
We are looking for experienced, self-driven Data Engineer. In this role, you will be building complex data engineering and business intelligence applications using AWS big data stack

You should have deep expertise and passion in working with large data sets, data visualization, building complex data processes, performance tuning, bringing data from disparate data stores and programmatically identifying patterns. You should have excellent business acumen and communication skills to be able to work with business owners to develop and define key business questions and requirements. You will provide guidance and support for other engineers with industry best practices and direction.

Amazon Web Services (AWS) has culture of data-driven decision-making, and demands timely, accurate, and actionable business insights.
Key job responsibilities
Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark/Scala, Athena etc.
Develop and manage ETLs to source data from various commercial, sales and operational systems and create unified data model for analytics and reporting.
Use business intelligence and visualization software (e.g., QuickSight.) to develop dashboards those are used by senior leadership.
Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.
Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems.
Work with Product Managers, Finance, Service Engineering Teams and Sales Teams on day-to-day basis to support their new analytics requirements.
Manage numerous requests concurrently and strategically, prioritizing when necessary
Partner/collaborate across teams/roles to deliver results.
Mentor other engineers, influence positively team culture, and help grow the team.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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