Amazon.com Services LLC
Logistics
DataEngineerII,NetworkDesignPlanning&Engineering
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer II, Network Design Planning & Engineering at Amazon.com Services LLC. Skills: Data Engineering, Cloud Data Platforms, Machine Learning, Data Warehousing. Design, build, and maintain scalable data pipelines. Develop and optimize ETL/ELT processes”
Industry & Context.
Root cause analysis; Troubleshooting; Data analysis
What They're Looking For.
Must Have
5+ years of experience in data engineering or related field, Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience, Proficiency in SQL, Experience with at least one programming language such as Python or Java
Nice to Have
Master's degree or PhD in a quantitative field, Experience with AWS services (e.g., S3, Glue, EMR, Redshift, SageMaker), Experience with distributed data processing frameworks (e.g., Spark, Hadoop), Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery), Experience with containerization technologies (e.g., Docker, Kubernetes), Experience with CI/CD pipelines and tools, Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn), Experience with BI tools (e.g., Tableau, Power BI, Looker)
What You'll Do.
and maintain scalable data pipelines
Develop and optimize ETL/ELT processes
Build and manage data warehouses and data lakes
Implement data models and database schemas
Ensure data quality and integrity
Collaborate with data scientists and analysts
Develop and deploy machine learning models
Monitor and troubleshoot data systems
Automate data processes
Stay up-to-date with new technologies
How You'll Work.
Team & Collaboration
Cross-functional teams; Data scientists; Analysts; Software engineers
Communication Scope
Technical presentations; Documentation
Process & Methodology
Agile methodologies, Scrum
Full Job Description
As a Data Engineer on the Network Design team, you'll architect the data infrastructure behind how Amazon moves millions of packages across the US every day. You'll design and implement scalable data pipelines and models that fuel network optimization — powering decisions on speed, cost, quality, and sustainability. From building real-time data solutions to establishing governance frameworks, your work will directly shape the supply chain that delivers for hundreds of millions of customers. You'll operate at the intersection of data engineering and network planning, translating complex logistics problems into elegant, automated solutions. This is a high-visibility role where your technical contributions drive measurable business outcomes — faster deliveries, lower costs, and a more sustainable transportation network. Key job responsibilities - Design and implement data pipelines for the different Network design programs. - Develop foundational data infrastructure for the network design models to enable faster and automated runs of underlying models, with automated end to end data flows. - Identify the business needs for design scenario analysis, formulate data architecture strategies, and develop a user-friendly platform for NDPE program managers to perform what-if analysis. - Define the data engineering processes that leverage various AWS services to improve accessibility, redundancy, data integrity, AWS services costs, and storage requirements. - Develop the high quality solutions for the faster development of the products/models that solve the business needs in a scalable format, while also anticipating future requirements - Collaborate with Research/Applied Scientists, Data Engineers, BIEs, Data Scientists and Product/Program Managers to understand the business and technical requirements, and make decisions that help make the products/programs smoother. - Lead the technical design of the data infrastructure with strong coding skills (preferable in python), code
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