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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer, Deal Tooling and Insights,... - **Company:** Amazon.com, Inc. - **Location:** Arlington, VA, United States - **Salary:** $145,300.0 - $196,600.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Big Data, Software Bug Management, Information Systems, Databases, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Structures, Data Stores, Graph Database, Identity and Access Management, Machine Learning, Release Management, Software Deployment, SQL Databases, Multi-Agent Systems, Electronic Medical Records, Data Layers, Information Technology, AWS Glue, Data Analytics, Non-relational Database, Data Management, Data Delivery, Data Pipelines, Amazon Redshift - **Published:** August 11, 2026 - **Apply:** https://www.juju.com/job/00000000gn0wy8 ## About the Role Do you love building scalable data pipelines and engineering reliable datasets? Are you excited by the opportunity to create foundational data infrastructure that powers decision-making across AWS? Do you want to work in a fast-paced environment, solving data challenges at the intersection of engineering and business impact?, Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field - 3+ years of data engineering experience - 1+ years of developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) processes experience - 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience - 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience - Experience with data modeling, warehousing and building ETL pipelines 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) ## Description If so, we are looking for a Data Engineer to join the Strategic Customer Engagements team to develop a scalable data analytics platform. The Strategic Customer Engagements Deal Team works with our customers on commercial private pricing opportunities to meet their desired business outcomes while ensuring alignment with AWS business objectives. In this role, you will design and manage large-scale data systems using cloud-native approaches to scalability and automation. You will build robust pipelines, integrate new data sources, and deliver reliable data products that support analytics, machine learning, and AI-powered systems. Working closely with business intelligence engineers and product teams, you will work backwards from business questions to build solutions that meet customer needs. The role will leverage generative AI and AWS services to raise the bar on how the team consumes and acts on data, and to build the next generation of AI-enabled data platforms. Key job responsibilities Key Job Responsibilities - Architect and implement scalable, reliable, and secure data pipelines for extraction, transformation, and loading from diverse data sources - Manage AWS resources including EC2, Redshift, Glue, S3, SageMaker, App Studio, and Bedrock - Deploy infrastructure-as-code using CDK - Oversee production operations, including optimizing data delivery, scaling infrastructure, code deployments, bug fixes, and release management - Design and implement data structures using best practices in data modeling to support reporting, analysis, and machine learning - Build semantic layers and knowledge graphs enabling intelligent query routing and context-aware data access - Develop infrastructure for agentic AI systems with multi-agent orchestration - Ensure data quality through monitoring, validation, auditing, and documentation of pipelines and data sources ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How we built an AI-powered code reviewer in 80 hours](https://www.wearedevelopers.com/videos/1511-how-we-built-an-ai-powered-code-reviewer-in-80-hours) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Tips, Techniques, and Common Pitfalls Debugging Kafka](https://www.wearedevelopers.com/videos/838-tips-techniques-and-common-pitfalls-debugging-kafka) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)