Environmental Data Engineer, AWS Environmental

Amazon Web Services (AWS); Austin (TX); On-site; USD 132,000 - 179,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon Data Services, Inc. is seeking a mid-level data engineer to own data tooling, analytics, and scalable solutions. You will balance short- and long-term priorities, mentor team members, and communicate clearly with stakeholders across functions.

The role emphasizes ownership, independence, and a commitment to diversity and inclusion, with opportunities to impact cloud infrastructure data platforms at scale.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems or 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 data analytics and BI tools.

Responsibilities

• Build and maintain large-scale data models for BI analytics.
• Develop and optimize ETL pipelines to support dashboards and reports.
• Collaborate with stakeholders to translate business needs into analytics solutions.

Skills

Data modeling

ETL pipelines

Big data analytics

Stakeholder communication

Mentoring

Education

Bachelor's degree in CS/Engineering/IS

Tools

Tableau Desktop

Amazon QuickSight

SQL

Job description

Description

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

For over 15 years, Amazon Web Services (AWS) has been the world’s most comprehensive and broadly adopted cloud computing platform. What is cloud computing? Cloud computing is the on-demand delivery of IT resources over the Internet.

In 2019, Amazon announced The Climate Pledge, which includes our commitment to power our operations with 100% renewable energy by 2025, on the path to achieving net zero carbon across our businesses by 2040.

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.

Description

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

For over 15 years, Amazon Web Services (AWS) has been the world’s most comprehensive and broadly adopted cloud computing platform. What is cloud computing? Cloud computing is the on-demand delivery of IT resources over the Internet.

In 2019, Amazon announced The Climate Pledge, which includes our commitment to power our operations with 100% renewable energy by 2025, on the path to achieving net zero carbon across our businesses by 2040.

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.

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

Basic 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.

Preferred Qualifications

• 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

Company

Amazon Data Services, Inc.

Job ID: A10538031