We9re looking for a Data Engineer to own and evolve the data foundations across APM9s publisher portfolio. You9ll drive architectural decisions that ensure every insight delivered to business teams is grounded in reliable, well-modeled data. The pipelines, models, and quality frameworks you build will enable trusted decision-making at scale - balancing customer experience with advertiser value.

Key job responsibilities

Design, develop, and optimize data models and end-to-end data pipelines across APM9s publisher data, leveraging AWS services (such as Redshift, EMR, Airflow, Kinesis, Lambda) and internal Amazon tools

Drive architectural decisions for data solutions within a unified modeling framework that serves both human analysts and AI-powered analytics agents, balancing short-term delivery with long-term scalability

Define and implement data quality standards across the datasets you own by building automated monitoring, investigating anomalies, and driving root-cause resolution with minimal guidance

Partner with business stakeholders to deeply understand their decision-making needs, translating ambiguous requirements into trusted, well-modeled data products

Lead the design of next-generation APM data architecture to improve scale, quality, timeliness, coverage, monitoring, and security while influencing team-wide technical direction

Support and mentor other engineers on data engineering best practices, code quality, and system design principles

A day in the life

As a Data Engineer on our team, you9ll focus on architecting and maintaining the data pipelines and models that support our publisher monetization platform. You might spend your morning collaborating with analytics and business intelligence teams to understand evolving data requirements, then transition into designing schema improvements or optimizing query performance for our data warehouse. You9ll work alongside software engineers to integrate new data sources, partner with product teams to validate data quality, and participate in design reviews where you9ll help shape how we approach complex data challenges. Your work directly impacts the reliability of insights that business teams depend on to make strategic decisions about advertising inventory and publisher partnerships.

BASIC QUALIFICATIONS

- Bachelor9s degree

- 4+ years of data engineering experience

- 2+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience

- 2+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience

- 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience

- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby

- Experience with data modeling, warehousing and building ETL pipelines

- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

- Experience working on and delivering end to end projects independently

- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

PREFERRED QUALIFICATIONS

- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

- Experience providing technical leadership and mentoring other engineers for best practices on data engineering

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

- Knowledge of distributed systems as it pertains to data storage and computing

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 - 132,100.00 - 178,800.00 USD annually