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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer, AWS Gdsp A&I - **Company:** Amazon.com, Inc. - **Location:** Seattle, WA, United States - **Salary:** $145,300.0 - $196,600.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon S3, Big Data, Databases, Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Structures, Data Stores, Graph Database, Identity and Access Management, Online Analytical Processing, Operational Data Store, Oracle (Applications), Query Optimization, SQL Databases, Data Processing, Electronic Medical Records, AWS Glue, Non-relational Database, Data Pipelines, Amazon Redshift - **Published:** June 26, 2026 - **Apply:** https://www.juju.com/job/00000000gb7t0c ## About the Role 3+ years of data engineering experience - 1+ 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 - 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 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) ## Description As a Data Engineer on this team, you will drive efficiency in data handling processes, setup product analytics, drive advanced analysis and build new metrics which are key inputs to improve the health, scale and growth of the Private Pricing Program. You will work collaboratively with the business leaders operations, and engineering teams on many non-standard and unique business problems and support business initiatives by collecting required and related data from external/internal sources. The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture, not just code. You proactively work to improve the consistency and integration between your team's BI solutions and any related systems or artifacts. Key job responsibilities Design, develop, and maintain scalable data solutions for metrics, reports, analyses, and dashboards that support analytical and business needs Collaborate with technology teams to extract, transform, and load data from diverse sources using AWS services and internal tools Build and deliver high-quality datasets that support data science initiatives and customer reporting requirements Automate and optimize reporting processes to enable self-service analytics for stakeholders Translate business problem statements into technical analysis requirements Apply analytical and statistical rigor to answer business questions and drive data-driven decisions Develop measurement frameworks that quantify customer experience and drive business outcomes Create queries and visualizations for ad-hoc requests, projects, and ongoing reporting needs Write efficient, optimized queries with deep knowledge of data structures and query optimization techniques Adopt best practices in reporting and analysis including data integrity, design, validation, and documentation Troubleshoot operational data quality issues and audit existing data pipelines and queries Recommend improvements to back-end data sources for increased accuracy and simplicity ## 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) - [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) ## 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) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters)