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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer II , GTMO DATA - **Company:** Amazon.com, Inc. - **Location:** Seattle, WA, United States - **Salary:** $132,100.0 - $178,800.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Adaptable Database Systems, Amazon S3, Big Data, Cloud Computing, Databases, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Stores, Data Systems, Data Warehousing, Relational Databases, Distributed Systems, Graph Database, Apache Hadoop, Apache Hive, Identity and Access Management, Python (Programming Language), Metadata, Online Analytical Processing, Oracle (Applications), Software Systems, SQL Databases, System Software, Apache Spark, Electronic Medical Records, AWS Glue, Non-relational Database, Tools for Reporting, Amazon Redshift - **Published:** July 23, 2026 - **Apply:** https://dejobs.org/x/x/8173913CBE554256A44D3E3FB0EC5428/job/ ## About the Role * 3+ years of data engineering experience * 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience * 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience * 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience * 3+ 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 Oracle experience * Experience with data modeling, warehousing and building ETL pipelines * 3+ years of SQL experience * Experience with big data technologies such as: Hadoop, Hive, Spark, EMR, * 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 Amazon Business Team is looking for a Data Engineer (DE) to play a significant role in building a large-scale, high-volume, high-performance data integration and delivery services. These data solutions would be used in reporting and to drive business decision making while dealing efficiently with the massive scale of data available through our Data Warehouse as well as our software systems. You will be responsible for designing and implementing solutions using third-party and in-house reporting tools, modelling metadata, building reports and dashboards, integrating data across disparate & distributed systems and administering the platform software. You are expected to analyze challenging Business Problems and build efficient, flexible, extensible, and scalable data models, ETL designs and data integration services. You will also have an opportunity to build/maintain/enhance small to mid-size custom built Applications using Python/Java. You are required to support and manage growth of these data solutions. You must be a self-starter and be able to learn on the go. Excellent written and verbal communication skills are required as you will work very closely with diverse teams., As a Data Engineer in Amazon Business team, you will be working in one of the world's largest cloud-based data lakes. You should be skilled in the architecture of Enterprise data warehouse solutions using multiple platforms (EMR, RDBMS, Columnar, Cloud). You should have extensive experience in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [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) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [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) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)