Amazon
Environmental Data Engineer, AWS Environmental
$132K–$179K
Austin, TX +1 · Full-time · Posted Sep 11, 2026
- Location
- Austin, TX
Herndon, VA - Experience
- 5+ years developing and operating large-scale data structures for business intelligence analytics using data modeling; 3+ years of data visualization software experience.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
About the job
Builds and maintains data solutions, pipelines, dashboards, and analytics that support environmental compliance, permitting, design, construction, and risk assessment.
What you'll do
- Build and maintain integrated environmental data solutions and monitoring systems for environmental workflows and metrics.
- Develop predictive analytics and automated risk assessments, and create data pipelines and real-time dashboards.
- Integrate environmental technology with existing systems and collaborate with stakeholders to improve scalable digital tools.
What they ask for
- 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.
- Experience with EHS management software development or analytics.
- 3+ years of experience with Tableau Desktop, Quicksight, or other relevant data visualization software.
Nice to have
- Experience with AWS technologies, including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
- Experience with predictive modeling, machine learning, forecasting, or statistical modeling.
Pay
132,100.00 - 178,800.00 USD annually (base salary); 132,100.00 - 178,800.00 USD annually (base salary)
Tools
Tableau Desktop, Quicksight, Redshift, S3, AWS Glue, EMR, Kinesis, FireHose
AI focus
Implement predictive analytics models to forecast environmental risks and support automated risk assessment; preferred experience includes machine learning and statistical modeling.
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