Software Development Engineer, Marketing Measurement and Performance Science

Marketing Measurement and Performance Science (MAPS) measures the incremental impact of Amazons marketing investments on customer perception action and purchases covering billions in annual fixed marketing (FM) spend across the full funnel. Our outputs provide spend insights and recommendations that power total investment decisions at the S-team level for OP planning BU-level budget allocation and in-year spend guidance.

As an SDE II youll design and build the systems that transform and harmonize data from 20 external partners each with their own schemas grains cadences and nuances into the measurement-grade inputs that power COSMOS Amazons FM causal measurement framework. The problems you will coverage go beyond standard ETL responsibilities youll build AI-native systems that reconcile providers with incompatible definitions handle split metric ownership manage retroactive revisions and maintain the immutable snapshots and deterministic joins that causal inference demands.

Key job responsibilities
- Design develop and maintain measurement-grade data systems at scale ingesting standardizing and vending marketing data from 20 external and internal sources that feed causal modeling and MLOps systems.
- Own full lifecycle delivery of production software on complex ambiguous problems from design through launch and ongoing operations with independence and minimal guidance.
- Build automated validation pipelines and data quality frameworks that enforce contracts detect anomalies across providers and ensure measurement-grade integrity at every stage.
- Define statistical methods for outlier detection diagnose root causes systematically and determine corrective actions to maintain data trust.
- Partner across science product and engineering teams to scope solutions navigate constraints and ship the most efficient path from prototype to production.
- Write clean well-tested code (Python Scala or Java) and mentor junior engineers on system design code quality and operational best practices.

A day in the life
Day to day youll build and scale multi-layer automated validation pipelines with clear data lineage so every model run is fully reproducible. Our vision is to scale our infrastructure across new business units and geographies reaching 90% coverage of Amazons FM spend and develop self-service catalog and observability tooling that lets scientists and partner teams explore our data without filing tickets. Youll also have a direct influence on schema governance designing systems that enforce data standards at the point of contract detect drift from providers and keep our specifications current as partnerships expand.

Youll collaborate closely with causal scientists economists product managers and agency data ops teams translating measurement requirements into scalable technical solutions. This is a high-ownership role where your work directly determines whether Amazons leadership can trust the numbers behind billion-dollar marketing investment decisions.


About the team
Within MAPS the Marketing Inputs & Data Automation (MIDA) team owns the measurement-grade data layer that sets the ceiling on what our causal models can measure where they can operate and how confident leadership should be in the outputs. We build and operate large-scale data infrastructure and data assets ingesting validating harmonizing and vending data from 20 third-party providers (agencies aggregators publishers) across multiple Amazon business units and marketing channels with global coverage. Our pipeline is purpose-built for the high bar of causal inference not dashboards or reporting requiring strict temporal integrity historical stability multi-layer validation full lineage and reproducibility at every stage.

- 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 programming with at least one modern language such as Java C or C# including object-oriented design

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent

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. For individuals with disabilities who would like to request an accommodation please visit 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 WA Seattle - 143700.00 - 194400.00 USD annually