> Markdown version of [/jobs/ext/947873-sr-data-engineer-ww-standardization-automation](https://www.wearedevelopers.com/jobs/ext/947873-sr-data-engineer-ww-standardization-automation). 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). --- # Sr. Data Engineer, WW Standardization & Automation - **Company:** Amazon.com, Inc. - **Location:** Bellevue, WA, United States - **Experience:** Expert - **Salary:** $154,600.0 - $209,100.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Amazon S3, Data Analysis, Big Data, Databases, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Mining, Data Security, Data Warehousing, Distributed Systems, Identity and Access Management, Python (Programming Language), Machine Learning, Node.Js, Scala (Programming Language), SQL Databases, Scripting, Data Storage Technologies, Delivery Pipeline, Electronic Medical Records, AWS CodeDeploy, Kubernetes, Deployment Automation, AWS Glue, Data Analytics, Data Management, Cloudwatch, Data Pipelines, Amazon Redshift, Programming Languages - **Published:** June 4, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/27735950/Sr-Data-Engineer-Ww-Standardization-Automation-Washington-Bellevue-7375 ## About the Role 7+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience mentoring team members on best practices - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Preferred Qualifications - Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets - Experience with MPP databases such as Amazon Redshift - Knowledge of distributed systems as it pertains to data storage and computing - Deep knowledge of orchestration frameworks like step functions / Airflow. ## Description Are you passionate about standardizing data platforms and automating data engineering to drive analytics and reporting? Do you excel in dynamic, fast-paced environments and find joy in converting data into actionable insights? Are you adept at implementing data governance practices and defining data access and quality standards? If you thrive in innovation and can deliver scalable Data Engineering Solutions, then the Worldwide Operations Finance Standardization & Automation (SnA) team has an exciting opportunity for you! We are seeking a customer-centric Senior Data Engineer to establish a reliable and accessible data platform, ensuring Operations Finance customers have complete trust in the data, technology, and tools to make data-driven business decisions., As a Senior Data Engineer in WWSNA, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions and implement complex data models for Amazon Inbound & Outbound Transportation business. As a Sr. DE you will create solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You should have excellent business and communication skills to be able to work with business owners, Product teams and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You will be responsible for designing, developing, and operating a data service platform using Python, Airflow, and SQL to build the various ETL, analytics, and data quality components. You'll automate deployments using AWS CodeDeploy, AWS CodePipeline, AWS Cloud Development Kit (CDK), and AWS Cloud Formation. You will work with AWS services like Redshift, Glue, S3, IAM, CloudWatch, and more., Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using Python, SQL and AWS big data technologies. - Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies of the team. - Designing and implementing complex pipelines and other Data Engineering solutions. - Work closely with business owners, developers, Business Intelligence Engineer to explore new data sources and deliver the data. - Create extensible designs and easy to maintain solutions with the long term vision in mind - Improve tools, processes, scale existing solutions, create new solutions as required based on team and stakeholder needs ## Related Videos - [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) - [Stop using Node.js like in 2020! What changed and what you can do today with Node.js](https://www.wearedevelopers.com/videos/100011-stop-using-node-js-like-in-2020-what-changed-and-what-you-can-do-today-with-node-js) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Tips, Techniques, and Common Pitfalls Debugging Kafka](https://www.wearedevelopers.com/videos/838-tips-techniques-and-common-pitfalls-debugging-kafka) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [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) - [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) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [DevOps Engineer Salary [2023]](https://www.wearedevelopers.com/magazine/203-devops-engineer-salary-2023)