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# Environmental Data Engineer, AWS Environmental

- **Company:** Amazon.com, Inc.
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Salary:** $132,100.0 - $178,800.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Data Analysis, Big Data, Information Systems, Data Architecture, Extract Transform Load (ETL), Identity and Access Management, Machine Learning, Software Engineering, Tableau (Software), Electronic Medical Records, Information Technology, AWS Glue, Amazon Redshift
- **Published:** September 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=52dadf8506f2cdc6

## About the Role

* 5+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
 * Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
 * Experience with data modeling, warehousing and building ETL pipelines
 * 3+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
 * Experience with EHS management software development or analytics., * Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
 * Experience formulating and solving predictive modeling, machine learning, forecasting or statistical modeling problems
 * Experience in communicating technical concepts to a non-technical audience
 * Knowledge of software development lifecycle, including design, development, test, build, deployment processes and timelines

## Description

* Build and maintain integrated environmental data solutions connected to internal digital tools, supporting due diligence, permitting, design, and construction tracking workflows.
 * Develop monitoring and tracking systems that apply analytics to environmental metrics, including due diligence risk, permitting delivery timelines, and construction risk indicators.
 * Implement predictive analytics models to forecast environmental risks and support automated risk assessment processes.
 * Design and maintain intelligent data pipelines and real-time monitoring dashboards that convert environmental compliance data into actionable insights.
 * Integrate environmental technology solutions with existing systems and data architectures, partnering with stakeholders to translate business requirements into practical digital solutions.
 * Contribute to the ongoing improvement of digital tools and systems, ensuring they scale to meet evolving business, customer, and stakeholder needs.


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