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Job Details
Posted date: Mar 10, 2026
Location: Seattle, WA
Estimated salary: $129,100
Range: $98,200 - $160,000
Description
Note: By applying to this position, your application will be considered for: Arlington, VA; and Seattle, WA.This position requires that the candidate selected be a U.S. citizen.
At Amazon Web Services (AWS), we’re hiring highly technical Data Analytics consultants to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Data and Analytics, Artificial Intelligence (AI) and GenerativeAI (GenAI), Machine Learning (ML), HPC and more.
You will join as part of the AWS Professional Services (ProServe) Associate to Consultant (A2) Delivery, which focuses on the accelerated career development of university graduates and early career professionals.
Our team members work with enterprise customers locally, regionally and domestically. As such, this role has up to 75% travel associated. While many of our customers engage ProServe virtually, there is always the potential that a customer  might choose to include travel in their contract.
Key job responsibilities
In this role, you will work with our partners, customers and focus on our AWS offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon SageMaker, Amazon Bedrock, Amazon Q, and Amazon Lex. You will help our customers and partners to remove the constraints that prevent them from leveraging their data to develop business insights.
The ideal candidate will have extensive experience with design, development and operations that leverages deep knowledge in the use of modern data services like DynamoDB, Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon RDS, technologies and other industry data structures and standards.
About the team
AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs.
You will also have the opportunity to create white papers, writing blogs, build demos and other reusable collateral that can be used by our customers. Most importantly, you will work closely with our Solution Architects, Data Scientists and Service Engineering teams.
Work/Life Balance
Our team puts a high value on work-life harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We are a customer-obsessed organization—leaders start with the customer and work backwards. They work vigorously to earn and keep customer trust. As such, this is a customer facing role in a hybrid delivery model. Project engagements include remote delivery methods and onsite engagement that will include travel to customer locations as needed.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. 
Qualifications
- Are 18 years of age or older- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
- 1+ years of hands-on experience of programming in languages such as Python, Ruby, Go, Swift, Java, .Net, C++, Node.js, or similar object-oriented language.
Extended Qualifications
- Knowledge of machine learning approaches and algorithms- Experience implementing AWS services in a variety of distributed computing environments
- Experience defining system architectures and exploring technical feasibility tradeoffs
- Experience with AWS technologies
- 1+ years of experience of Data platform implementation
- Hands on experience with building data or machine learning pipeline
- Experience with one or more relevant tools (SQL, PostgreSQL, Data lake, DynamoDB, Hadoop)
- Current  experience with hands-on implementation and performance tuning of Kinesis, Kafka, Spark or similar implementations
- Masters or PhD in Computer Science, Physics, Engineering or Math.
- Hands on experience working on large-scale data science/data analytics projects
- Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras.
- Experience building large-scale machine-learning infrastructure that have been successfully delivered to customers.
- Experiences developing cloud software services and an understanding  of design for scalability, performance and reliability.
- Ability to prototype and evaluate applications and interaction methodologies.
- AWS  Certification(s) such as Solutions Architect Associate, Data  Analytics Specialty, and/or Machine Learning Specialty
- Written and verbal technical communication skills with an ability to present complex technical information in a clear and concise manner to a variety of audiences.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, VA, Arlington - 98,200.00 - 160,000.00 USD annually
USA, WA, SEATTLE - 98,200.00 - 160,000.00 USD annually
USA, WA, Seattle - 98,200.00 - 160,000.00 USD annually