Role at a glance
- Job function
-
AI & Data Data Engineering
- Salary
- Not Disclosed
- Location
- Boulder, Colorado, United States
- Work arrangement
- On-site
- Employment
- Internship
- Education
- Bachelor's
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Qualifications
Required
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
Preferred
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
About the role
Original posting provided by amazon
Application deadline: Sep 28, 2026
Are you excited by the idea of building the data foundation that an entire AI-powered product runs on — from the very first pipeline? Marketing at Amazon spans a huge range of independent businesses, and the data behind it is scattered across agencies, vendors, and platforms. It is slow to collect, inconsistent, and nearly impossible to see as a whole. We are a new team setting out to fix that.
As a Software Development Engineer II, you will design and build the services that automatically pull this data together, clean and normalize it, and make it ready for AI agents to summarize and turn into actionable insights. You will own your work end-to-end, from understanding the problem to deploying and operating production systems, while helping shape the technical direction of a product that marketing teams across Amazon will rely on.
Key job responsibilities
- Design and build data ingestion pipelines and APIs that collect, normalize, and unify marketing data from dozens of external agencies, vendors, and platforms.
- Develop services that prepare clean, structured data for consumption by AI agents, enabling plain-language analytics for marketing teams across Amazon.
- Identify and resolve root causes of operational issues, driving permanent fixes and continuously improving system reliability and data quality.
- Mentor and coach other engineers through code reviews and design discussions, helping establish best practices as the team grows.
- Collaborate with product, data science, and marketing stakeholders to translate business needs into well-scoped technical solutions using big data technologies such as Spark and Hadoop.
A day in the life
You might start your morning reviewing a teammate's pull request for a new data connector, then shift into designing the schema changes needed to onboard a new vendor feed. After lunch you dig into a data-quality anomaly, trace it back to an upstream format change, and ship a fix along with an automated check to catch similar issues in the future. Because this is a new team building from scratch, you will also have a hand in choosing frameworks, setting coding standards, and shaping the architecture that everything else is built on.
About the team
We are a small, newly formed team within Amazon's marketing organization with a big mandate: bring together fragmented marketing data from across the company and put AI-powered analytics on top of it. Our goal is to give marketing teams a single, trustworthy source of truth they can query in plain language.
Because we are building from the ground up, every engineer on the team has real influence over technical decisions, tooling, and culture. If you want to join early, help define the product, and see your work adopted across Amazon's marketing businesses, this is the place to do it.
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
- Bachelor's degree in computer science or equivalent
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.
USA, CO, Boulder - 143,700.00 - 194,400.00 USD annually
Are you excited by the idea of building the data foundation that an entire AI-powered product runs on — from the very first pipeline? Marketing at Amazon spans a huge range of independent businesses, and the data behind it is scattered across agencies, vendors, and platforms. It is slow to collect, inconsistent, and nearly impossible to see as a whole. We are a new team setting out to fix that.
As a Software Development Engineer II, you will design and build the services that automatically pull this data together, clean and normalize it, and make it ready for AI agents to summarize and turn into actionable insights. You will own your work end-to-end, from understanding the problem to deploying and operating production systems, while helping shape the technical direction of a product that marketing teams across Amazon will rely on.
Key job responsibilities
- Design and build data ingestion pipelines and APIs that collect, normalize, and unify marketing data from dozens of external agencies, vendors, and platforms.
- Develop services that prepare clean, structured data for consumption by AI agents, enabling plain-language analytics for marketing teams across Amazon.
- Identify and resolve root causes of operational issues, driving permanent fixes and continuously improving system reliability and data quality.
- Mentor and coach other engineers through code reviews and design discussions, helping establish best practices as the team grows.
- Collaborate with product, data science, and marketing stakeholders to translate business needs into well-scoped technical solutions using big data technologies such as Spark and Hadoop.
A day in the life
You might start your morning reviewing a teammate's pull request for a new data connector, then shift into designing the schema changes needed to onboard a new vendor feed. After lunch you dig into a data-quality anomaly, trace it back to an upstream format change, and ship a fix along with an automated check to catch similar issues in the future. Because this is a new team building from scratch, you will also have a hand in choosing frameworks, setting coding standards, and shaping the architecture that everything else is built on.
About the team
We are a small, newly formed team within Amazon's marketing organization with a big mandate: bring together fragmented marketing data from across the company and put AI-powered analytics on top of it. Our goal is to give marketing teams a single, trustworthy source of truth they can query in plain language.
Because we are building from the ground up, every engineer on the team has real influence over technical decisions, tooling, and culture. If you want to join early, help define the product, and see your work adopted across Amazon's marketing businesses, this is the place to do it.
Basic Qualifications
- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalent
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, CO, Boulder - 143,700.00 - 194,400.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.