To learn more about AWS, visit https://aws.amazon.com and https://sustainability.aboutamazon.com/environment/the-cloud.
The ideal candidate is a mid-level data engineer who takes ownership of tools and technologies, demonstrates strong data analytics capabilities, and works independently while knowing when to seek guidance. They balance short and long-term priorities, mitigate risks, and deliver practical, scalable solutions. They communicate clearly with stakeholders at all levels, contribute to team growth through mentoring, and collaborate effectively across functions. A genuine commitment to diversity, equity, and inclusion guides how they build products and work with others.
Key job 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.
About the team
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. T
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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually
USA, VA, Herndon - 132,100.00 - 178,800.00 USD annually
