> Markdown version of [/jobs/ext/3659917-data-engineer-ii-product-bi](https://www.wearedevelopers.com/jobs/ext/3659917-data-engineer-ii-product-bi). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer II, Product BI - **Company:** Amazon.com, Inc. - **Location:** Seattle, WA, United States - **Experience:** Experienced - **Salary:** $132,100.0 - $178,800.0 - **Contract:** Permanent contract - **Skills:** Amazon S3, Big Data, Databases, Information Engineering, Extract Transform Load (ETL), Data Stores, Graph Database, Identity and Access Management, Online Analytical Processing, Oracle (Applications), SQL Databases, Electronic Medical Records, AWS Glue, Non-relational Database, Amazon Redshift - **Published:** October 9, 2026 - **Apply:** https://www.careerjet.com/job/us97023db2ce5dcf02ae6b4c5a5fdf9d0d/eaa ## About the Role 5+ years of data engineering experience - 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience - 3+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience - 3+ 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 - 3+ 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 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)