> Markdown version of [/jobs/ext/1718989-data-engineer-ii-amzl-central-learning-solutions](https://www.wearedevelopers.com/jobs/ext/1718989-data-engineer-ii-amzl-central-learning-solutions). 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, Amzl-Central Learning Solutions... - **Company:** Amazon.com, Inc. - **Location:** Bellevue, WA, United States - **Salary:** $132,100.0 - $178,800.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon S3, Business Analytics Applications, Data Analysis, Big Data, Databases, Learning Management Systems, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Stores, Data Warehousing, Graph Database, Identity and Access Management, Online Analytical Processing, Oracle (Applications), Software Engineering, SQL Databases, Unstructured Data, Electronic Medical Records, Data Layers, Data Lakes, AWS Glue, Non-relational Database, Amazon Redshift - **Published:** July 23, 2026 - **Apply:** https://www.juju.com/job/00000000gj27jd ## 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 Enablement team within Central Learning Solutions, our key responsibilities encompass creating a single source of truth for both structured and unstructured data. This includes building comprehensive data lakes and data warehouses that enable science and AI applications to consume reliable data. Our core focus areas include: - Data Infrastructure: Maintaining robust pipelines and frameworks that ensure validated, true-source data with end-to-end documentation and tracking - Self-Service Analytics: Producing proactive insights and vending actionable outcomes to customers - Data Quality: Implementing validation mechanisms at each infrastructure layer to ensure trustable business insights The Data Engineering team consists of four engineers working collaboratively to deliver highly reliable data infrastructure. We enable data access from multiple sources with real-time to near real-time ingestion, integrating learning data across systems to create a central repository for all LMS data, Kirkpatrick metrics, and L4 quality metrics. This role involves working alongside three other engineers to build and maintain the data infrastructure that powers analytical consumption for Data Science teams, BI teams, SDE teams, and external line of business partners. A day in the life You'll independently work on user stories while coordinating with Software Development Engineering and Data Science teams on workflows, design, and data layer patterns. Collaborating with TPMs and Product Managers, you'll ensure data requirements are met while working within the single source of truth architecture. Your responsibilities include maintaining data lakes, producing automation and orchestration tools, and contributing to build and launch exercises. Operating in sprints, you'll independently lead your assigned area, work on roadmaps, and cross-collaborate outside CLS Analytics teams to drive data engineering products and maintain infrastructure. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [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) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Hate organising your photos? 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