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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer II, DBS BI - **Company:** Amazon.com, Inc. - **Location:** Seattle, WA, United States - **Experience:** Experienced - **Salary:** $132,100.0 - $178,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Big Data, Databases, Information Engineering, Extract Transform Load (ETL), Data Stores, Data Visualization, Data Warehousing, Graph Database, Identity and Access Management, Python (Programming Language), Online Analytical Processing, Performance Tuning, SQL Databases, Apache Spark, Electronic Medical Records, Data Lakes, AWS Glue, Non-relational Database, Operational Systems, Amazon Redshift - **Published:** August 21, 2026 - **Apply:** https://dejobs.org/x/x/524FEB51BE1541AAA157189DE39ED187/job/ ## About the Role We are looking for experienced, self-driven Data Engineer. In this role, you will be building complex data engineering and business intelligence applications using AWS big data stack. You should have deep expertise and passion in working with large data sets, data visualization, building complex data processes, performance tuning, bringing data from disparate data stores and programmatically identifying patterns. You should have excellent business acumen and communication skills to be able to work with business owners to develop and define key business questions and requirements. You will provide guidance and support for other engineers with industry best practices and direction. Amazon Web Services (AWS) has culture of data-driven decision-making, and demands timely, accurate, and actionable business insights., * 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 * Experience with data modeling, warehousing and building ETL pipelines, * 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 AWS Databases, Analytics and AI/ML Products and Services is one of the largest and fast-growing business unit within AWS. We are working to rebuild and revolutionize data engineering and business intelligence systems within database, analytics and AI/ML organization to support fast growing business needs., * Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark/Scala, Athena etc. * Develop and manage ETLs to source data from various commercial, sales and operational systems and create unified data model for analytics and reporting. * Use business intelligence and visualization software (e.g., QuickSight.) to develop dashboards those are used by senior leadership. * Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed. * Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems. * Work with Product Managers, Finance, Service Engineering Teams and Sales Teams on day-to-day basis to support their new analytics requirements. * Manage numerous requests concurrently and strategically, prioritizing when necessary * Partner/collaborate across teams/roles to deliver results. * Mentor other engineers, influence positively team culture, and help grow the team. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [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) - [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) - [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) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)