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Software Development Engineer, Measurement, Ad Tech, and Data Science
Boulder, CO, USA
·
On-site
·
Full-time
·
1mo ago
必須スキル
AWS
Spark
Scala
Machine Learning
Application deadline: Mar 25, 2026
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. Whether you’re just starting out or have experience to draw from, we have a place for you–we’re committed to helping nurture people at all stages of their career.
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 long term growth.
- Key job responsibilities
- Design and build highly scalable, fault-tolerant data pipelines processing petabytes of advertising data
- Architect new data paradigms that enable real-time analytics and machine learning applications
- Collaborate with data scientists, product managers, and partner teams across Amazon Ads to deliver data solutions that drive business impact
- Mentor junior engineers through code reviews, design discussions, and pair programming
- Contribute to technical strategy and architectural decisions for our data platform
- Build monitoring, alerting, and data quality frameworks to ensure reliability at scale
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 builds the core publishing capabilities serving all of Amazon Ads with attribution data. We work with diverse systems and languages, combining AWS services like EMR , Spark and Scala. We also leverage generative AI tools to accelerate our development, testing, and deployment cycles.
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 with big data technologies such as: Hadoop, Hive, Spark, EMR
- Knowledge of databases, storage and big data concepts
- Knowledge of distributed systems as it pertains to data storage and computing
Preferred Qualifications
- 5+ 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, Engineering, Mathematics, or a related field
- Experience in search advertising, search marketing, performance advertising, or similar digital advertising
- Experience building complex software systems that have been successfully delivered to customers
- Experience in data science, business analytics, business intelligence, or similar experience in big data environments
- Experience designing, building, operating, and managing large-scale distributed systems or web services
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in technical support
- Experience working with agile development methodologies
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
総閲覧数
1
応募クリック数
0
模擬応募者数
0
スクラップ
0
類似の求人
Amazonについて

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
従業員数
Seattle
本社所在地
$1.5T
企業価値
レビュー
2.9
10件のレビュー
ワークライフバランス
2.8
報酬
3.7
企業文化
2.5
キャリア
2.3
経営陣
2.1
35%
友人に勧める
良い点
Good pay and compensation
Strong benefits package
Flexible scheduling options
改善点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
給与レンジ
4件のデータ
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L4
0件のレポート
$181,968
年収総額
基本給
-
ストック
-
ボーナス
-
$154,672
$209,264
面接体験
10件の面接
難易度
3.7
/ 5
期間
21-35週間
内定率
20%
体験
ポジティブ 10%
普通 10%
ネガティブ 80%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
ニュース&話題
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