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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Intelligence Engineer, AWS DC... - **Company:** Amazon.com, Inc. - **Location:** Herndon, VA, United States - **Salary:** $99,500.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Systems Engineering, Big Data, Databases, Data Centers, Data Integrity, Extract Transform Load (ETL), Data Mining, Data Visualization, Data Warehousing, Amazon DynamoDB, R (Programming Language), Python (Programming Language), MATLAB, Machine Learning, NoSQL, Operational Data Store, Oracle (Applications), SAS (Software), SQL Databases, Tableau (Software), Data Processing, Scripting, Information Technology, AWS Data Analytics, Data Pipelines, Amazon Redshift - **Published:** August 30, 2026 - **Apply:** https://www.juju.com/job/00000000gpske3 ## About the Role 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 1+ years of SQL, ETL or Oracle experience - 1+ years of processing large, multi-dimensional datasets from multiple sources experience - 1+ years of performing statistical analysis experience - 1+ years of developing automated reporting experience - 3+ years of in the job offered or a related occupation experience - 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets ## Description AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of technical program managers, design engineers, construction managers, network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Do you want to be an integral part of the world's transition to the cloud? The ML Capacity Delivery Team (MLZ) is seeking a Business Intelligence Engineer II (BIE) with a combination of superior analytical abilities, business acumen, curiosity, technical skills, and strong written and verbal communication skills to join our team. The MLZ team is responsible for delivering ML and AI infrastructure capacity across AWS's global data center footprint. As a BIE on this team, you will build the data foundations, reporting systems, and analytical capabilities that enable leadership to make critical decisions about how we plan, track, and deliver ML capacity at scale. You will work closely with technical program managers, systems engineers, operations teams, and planning organizations to transform complex operational data into actionable insights that drive delivery velocity and efficiency. Data-driven decision-making is at the core of Amazon's culture, and people who are exceptionally talented at analyzing large sets of data to build insights are critical. Your work will directly impact the decisions and strategy of the ML Capacity Delivery organization and our customers. You will gather customer needs and insights, mine large and diverse data sets from across AWS Infrastructure, build visualizations and tools for our business partners, and generate insights to help senior leaders make critical business decisions. The successful BIE will not only possess the expertise and passion for analyzing data, designing metrics to measure the performance of the business, and building reporting capabilities and tools, but will also interact directly with business leaders and teams that rely on the metrics and analyses they produce. The ideal candidate must be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail), and enjoy working in a fast-paced, dynamic environment. If you are excited about data, are results-oriented, and want to join a growing analytics team within Amazon - this role is for you! Key job responsibilities Design, develop, and maintain scaled, automated, user-friendly systems, reports, and dashboards that support ML capacity delivery tracking, planning, and operational decision-making. Build and optimize data pipelines for extraction, transformation, and loading (ETL) of data from diverse sources across AWS Infrastructure using SQL, Python, and AWS big data technologies. Apply deep analytic and business intelligence skills to extract meaningful insights from large and complex data sets related to capacity delivery timelines, supply chain logistics, and infrastructure deployment. Collaborate with program managers, systems engineers, and operations teams to understand business requirements and translate them into scalable data solutions and reporting capabilities. Build data visualizations that tell the story of ML capacity delivery performance - trends, patterns, bottlenecks, and outliers - through rich, intuitive dashboards for stakeholders at all levels. Design and track key performance metrics that measure the health and efficiency of ML capacity delivery operations, including delivery velocity, on-time performance, and pipeline throughput. Serve as a liaison between business and technical teams to achieve the goal of providing actionable insights into current business performance and ad hoc analyses to support future improvements or innovations. Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Proactively identify opportunities to improve data quality, automate manual reporting processes, and enhance the analytical maturity of the team through predictive and prescriptive analytics. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Leveraging Large Language Models for Legacy Code Translation: Challenges and Solutions](https://www.wearedevelopers.com/videos/1157-leveraging-large-language-models-for-legacy-code-translation-challenges-and-solutions) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Building a hypercar from scratch](https://www.wearedevelopers.com/videos/607-building-a-hypercar-from-scratch) ## 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) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)