Software Development Engineer, Reporting Data Platform

Amazon; Seattle (WA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

Restricted stock units (RSUs)

Paid time off

Parental leave

401(k) matching

Job summary

Amazon Advertising seeks an engineer to own data platform work at scale, building data pipelines and a Lakehouse architecture that serves reporting surfaces and AI agents. You will ship core platform features, validate data, and onboard new advertising products with partner teams.

The team designs automated validation, develops AI-powered tooling, and mentors through a growth path toward platform-level initiatives. This full-time role is based in Seattle, WA.

Qualifications

• 3+ years of big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza experience.
• 2+ years designing and developing large-scale, multi-tiered, multi-threaded, distributed software applications, tools, systems, and services using Java, C#, C++, or Perl.
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems.
• 1+ years of software development engineer or related occupational experience.
• 1+ years of Object Oriented Design experience.
• Experience programming with at least one software programming language.

Responsibilities

• Build data pipelines that turn raw advertising events into the metrics advertisers use to measure and grow their businesses.
• Design and ship new platform capabilities using table-based architectures that unlock faster onboarding, simpler operations, and broader data access.
• Create automated validation and monitoring that keeps data accurate at scale.
• Improve infrastructure efficiency and reduce operational costs across a large compute fleet.
• Work with partner teams to onboard new advertising products onto the reporting platform.
• Build AI-powered tooling and autonomous operations agents that improve platform reliability and developer productivity.

Skills

Big data

Distributed systems design

Object Oriented Design

Java

Python

C++

Team collaboration

Education

Bachelor's degree in CS or equivalent

Tools

AWS

Spark

Java

TypeScript

DynamoDB

Redshift

Iceberg

Job description

Every number an advertiser sees in Amazon Ads passes through our platform. We process 40 billion records a day and are building the next generation of this system on a Lakehouse architecture — making it the data foundation for AI-powered advertising products that millions of advertisers depend on.

We need an engineer who wants to own that work, write production code, and ship systems at this scale. You're joining at an exciting time: the team is building a new Lakehouse architecture that gives both human-facing reporting surfaces and AI agents the same governed, queryable interface to advertising data. AI agents already query our platform at inference time to answer advertiser questions and power automated campaign management — and that usage is growing fast. You'll build both the core platform and the AI-powered tooling that makes it easier to operate. Engineers on this team have already shipped autonomous operations agents and lineage tracing tools that are in production today.

Key job responsibilities

• Build data pipelines that turn raw advertising events into the metrics advertisers use to measure and grow their businesses
• Design and ship new platform capabilities using table-based architectures that unlock faster onboarding, simpler operations, and broader data access
• Create automated validation and monitoring that keeps data accurate at scale
• Improve infrastructure efficiency and reduce operational costs across a large compute fleet
• Work with partner teams to onboard new advertising products onto the reporting platform
• Build AI-powered tooling and autonomous operations agents that improve platform reliability and developer productivity

About the team

We sit within Amazon Advertising and own the reporting data layer end to end. Our team is 13 engineers across two locations. Core technologies: Java, Python, TypeScript (AWS CDK), Apache Spark on EMR, Apache Iceberg — plus EKS, DynamoDB, Redshift, and Athena. Senior engineers mentor newer team members, and the growth path leads to owning platform-level initiatives, setting architectural direction, and becoming a technical point of contact across the organization.

Basic Qualifications

• - 3+ years of big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza experience
• - 2+ 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
• - 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 Object Oriented Design experience
• - 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, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually