Full Job Description
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.
BASIC QUALIFICATIONS
- 5+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- Bachelor9s 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
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