Amazon Web Services, Inc.
Technology
DataEngineerII,SalesPlanningandCompensation(SPC)
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer II, Sales Planning and Compensation (SPC) at Amazon Web Services, Inc.. Skills: Data Engineering, ETL/ELT, AWS, GenAI. Design and implement data pipelines. Build and maintain data models”
What You'll Achieve.
Deliver exceptional service to AWS customers; Derive value from data at massive scale; Enhance efficiency, automation, and decision-making
Industry & Context.
Solving problems at their root
What They're Looking For.
Must Have
5+ years developing/operating large-scale data structures for BI analytics using ETL/ELT, 5+ years developing/operating large-scale data structures for BI analytics using SQL, Experience with data modeling, warehousing, and building ETL pipelines, 5+ years analyzing/interpreting data with Redshift, Oracle, NoSQL, 5+ years developing/operating large-scale data structures for BI analytics using data modeling
Nice to Have
Experience with AWS technologies, Experience with non-relational databases, Experience as data engineer or related specialty, Experience working on and delivering end to end projects independently
What You'll Do.
Design and implement data pipelines
Build and maintain data models
Own infrastructure for data processing
Leverage GenAI services
Demonstrate understanding of GenAI ecosystem
Conduct rapid prototyping
Collaborate across teams to ingest data
Champion best practices in data integrity
Proactively identify opportunities to improve system reliability
How You'll Work.
Team & Collaboration
Collaborating with product managers; Collaborating with program leaders; Collaborating with data scientists; Collaborating with technical partners
Full Job Description
Application deadline: Jun 6, 2026 Amazon Web Services is seeking a talented and innovative Data Engineer II to design, build, and evolve critical data capabilities for Sales Planning and Compensation (SPC). SPC delivers secure, highly available, scalable, and high-performance data solutions that empower our field teams to deliver exceptional service to AWS customers. Join a dynamic, high-impact team at an exciting stage of product evolution. You'll help shape the future of how AWS manages and derives value from data at massive scale, while collaborating with product managers, program leaders, data scientists, and cross-AWS technical partners. As a Data Engineer II, you'll own end-to-end data solutions — from ingestion and transformation to analytics and insight generation — while incorporating modern generative AI practices to enhance efficiency, automation, and decision-making. Key job responsibilities - Design and implement robust, scalable data pipelines and ETL/ELT processes using AWS-native services (e.g., Glue, Lambda, EMR, Kinesis, S3, Redshift/Spectrum). - Build and maintain data models, schemas, and storage solutions across relational (SQL) and NoSQL databases, data lakes, and warehouses. - Develop, automate, and optimize metrics, reports, dashboards, and analytics workflows to drive business insights and data-informed decisions. - Own infrastructure for data processing and analytics (e.g., Redshift clusters, Spectrum, EMR), including performance tuning, cost optimization, and architectural evolution. - Leverage **Amazon Bedrock**, **Nova models**, **Amazon Q**, **Kiro**, and other internal AWS GenAI services to prototype intelligent features, automate data workflows, enhance data quality, and accelerate insight delivery. - Demonstrate strong understanding of the broader GenAI ecosystem and apply it thoughtfully to real-world data engineering challenges in daily projects. - Conduct rapid prototyping, proof-of-concepts, and automation tooling to benchmark, v
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