Environmental Data Engineer — Predictive Analytics

Amazon; Herndon (VA); On-site; USD 132,000 - 179,000; Full time

Job summary

Amazon’s AWS Infrastructure Services group seeks a mid-level data engineer to own tools, perform data analytics, and work independently while mentoring teammates. You will balance short- and long-term priorities, mitigate risks, and deliver scalable, compliant data solutions across environmental datasets.

The role emphasizes collaboration with stakeholders, strong communication, and a commitment to diversity and inclusion as part of our data-driven culture.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data modeling

BI analytics

ETL pipelines

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or related field

Tools

Tableau Desktop

Quicksight

Job description

Amazon’s AWS Infrastructure Services group seeks a mid-level data engineer to own tools, perform data analytics, and work independently while mentoring teammates. You will balance short- and long-term priorities, mitigate risks, and deliver scalable, compliant data solutions across environmental datasets.

The role emphasizes collaboration with stakeholders, strong communication, and a commitment to diversity and inclusion as part of our data-driven culture.