Software Dev Engineer II, Measurement, Ad Tech, and Data Science
Boulder, Colorado, USA
Full Time Mid-level / Intermediate USD 129K - 223K
Amazon.com
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Are you excited about operating at Internet scale? Inventing how ads performance is measured in the online retail world? Growing and learning from the world class engineers? If so, we want to hear from you! We need software engineers with strong fundamentals and an interest in working with data.
Key job responsibilities
You will be responsible for designing and developing software products that provide measurement data to a wide set of users across all of Amazon's advertising suite. You will be able to demonstrate a variety of architectural approaches and design patterns and have a demonstrated competence in designing maintainable and scalable software written in a high-level language. You will show your ability to adapt to changing technical environments and devise creative solutions to vexing software problems. You will encounter some of the toughest and most inspiring technical challenges of your career as you build petabyte-scale services, invent new big data paradigms, and scale for large growth.
A day in the life
We enable advertisers to optimize ad spend and allocate budgets effectively by providing accurate, actionable and timely conversion measurement for all Amazon ad products. We produce the estimates that are fastest in the industry without compromising quality. We apply the latest AWS big data and machine learning technologies on over 50 billion new events per day, operating petabyte size clusters.
This team publishes the metrics used by advertisers and systems within Amazon to analyze the performance of their investment in ads. Our charter is focused on distributing conversions estimated by a variety of techniques, to multiple systems with challenging requirements.
About the team
This team defines and produces the metrics used by advertisers to analyze the performance of their investment in ads. The charter of this team is focused on applications responsible for computing and distributing estimated conversions. We work with a variety of systems and languages: combining AWS services like EMR, Kinesis and AWS Batch, with open source technologies such as Spark, Presto.
- 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
- Experience programming with at least one software programming language
- Experience using big data technologies (Spark, EMR, Presto, etc.)
- Knowledge of data management fundamentals and data storage principles
- Knowledge of distributed systems as it pertains to data storage and computing
- Masters degree in Computer Science, Math or Physics or a related field
- Experience in the advertising or search industries
- Experience building software systems that have been successfully delivered to customers
- Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience in databases, analytics, big data systems or business intelligence products
- Experience with building high-performance, highly-available and scalable distributed systems.
- Deep hands-on technical expertise, excellent verbal and written communication skills
- Experience with Agile software development techniques.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
You will be responsible for designing and developing software products that provide measurement data to a wide set of users across all of Amazon's advertising suite. You will be able to demonstrate a variety of architectural approaches and design patterns and have a demonstrated competence in designing maintainable and scalable software written in a high-level language. You will show your ability to adapt to changing technical environments and devise creative solutions to vexing software problems. You will encounter some of the toughest and most inspiring technical challenges of your career as you build petabyte-scale services, invent new big data paradigms, and scale for large growth.
A day in the life
We enable advertisers to optimize ad spend and allocate budgets effectively by providing accurate, actionable and timely conversion measurement for all Amazon ad products. We produce the estimates that are fastest in the industry without compromising quality. We apply the latest AWS big data and machine learning technologies on over 50 billion new events per day, operating petabyte size clusters.
This team publishes the metrics used by advertisers and systems within Amazon to analyze the performance of their investment in ads. Our charter is focused on distributing conversions estimated by a variety of techniques, to multiple systems with challenging requirements.
About the team
This team defines and produces the metrics used by advertisers to analyze the performance of their investment in ads. The charter of this team is focused on applications responsible for computing and distributing estimated conversions. We work with a variety of systems and languages: combining AWS services like EMR, Kinesis and AWS Batch, with open source technologies such as Spark, Presto.
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
- Experience programming with at least one software programming language
- Experience using big data technologies (Spark, EMR, Presto, etc.)
- Knowledge of data management fundamentals and data storage principles
- Knowledge of distributed systems as it pertains to data storage and computing
Preferred Qualifications
- 4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Masters degree in Computer Science, Math or Physics or a related field
- Experience in the advertising or search industries
- Experience building software systems that have been successfully delivered to customers
- Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience in databases, analytics, big data systems or business intelligence products
- Experience with building high-performance, highly-available and scalable distributed systems.
- Deep hands-on technical expertise, excellent verbal and written communication skills
- Experience with Agile software development techniques.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Category:
Engineering Jobs
Tags: Agile Architecture AWS Big Data Business Intelligence Computer Science Data management Distributed Systems Engineering Kinesis Machine Learning Mathematics Open Source Physics SDLC Spark Testing
Perks/benefits: Career development Equity / stock options Startup environment Team events
Regions:
North America
South America
Country:
United States
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