Business Intelligence Engineer, Vulnerability Management and Remediation

Amazon.com Inc.; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Amazon.com Services LLC is seeking a Business Intelligence Engineer for Vulnerability Management and Remediation to design and maintain scalable data infrastructure and ETL pipelines supporting BI initiatives across security data domains.

The role partners with Technical, Business, Operation, and Security teams to deliver user-friendly BI solutions, dashboards, and AI-assisted automations. Strong SQL and Python skills, plus experience with analytics tools, are essential.

Qualifications

• 3+ years of data analysis and interpretation experience with Redshift, Oracle, NoSQL.
• Experience visualizing data using Tableau, Quicksight, or similar tools.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience in statistical analysis packages such as R, SAS and Matlab.
• SQL usage to pull data and Python scripting for data processing.

Responsibilities

• Design, develop, and maintain scalable data infrastructure and ETL pipelines for BI solutions.
• Partner with cross-functional teams to understand data requirements and design scalable BI solutions.
• Design and implement AI/LLM-powered solutions to automate tasks.
• Apply statistical methods to support business decisions using AI infrastructure.
• Manage projects end-to-end, including data gathering, modeling, and delivery.

Skills

Redshift/Oracle/NoSQL experience

Data visualization

ETL pipelines

Statistical analysis (R/SAS/Matlab)

SQL & Python

Tools

Tableau

Quicksight

Python

R

SAS

Matlab

Job description

Business Intelligence Engineer, Vulnerability Management and Remediation

Job ID: 10594547 | Amazon.com Services LLC

Do you get excited about working with hyper scale data applications? Interested in security? Enjoy working with the latest and greatest AWS technologies? Ready to pioneer our data analysis, dashboarding, and storage solutions for a pipeline managing petabytes of data to transform the efficiency of our systems and customers? Here in Defensive Security, we have that special role just for you!
The Amazon Vulnerability Management Service(AVMS) team is building the next generation of mission critical data processing pipelines and applications. Our innovations handle petabyte scale data, in real time. These applications enable Amazon defensive security and security management teams globally. Our customers are Amazon, internal stakeholders, and Amazon’s customers. Our engineers work directly with stakeholders, get close to customers' needs, and are empowered to take technical risks to build the best-in-class software with respect to quality, scale, and insights. The technical foundation this team builds, helps keep all of Amazon (Fulfillment Centers, Physical Stores, Whole Foods, Fresh, etc.) secure.
We need folks who have a passion for building hyper-scale systems that are always online. Those with an entrepreneurial spirit to take risks, experiment with new technical methods, and focus on improving what came before will find themselves perfectly at home in our team.

Key job responsibilities

• Design, develop, and maintain scalable data infrastructure and ETL pipelines to support business intelligence initiatives using automated dashboard solutions
• Partner with Technical, Business, Operation, and Security teams to understand data requirements and design scalable and user-friendly BI solutions
• Design and implement AI/LLM-powered solutions to automate human-in-the-loop tasks
• Design and develop statistical analysis to support business decision making using the AI infrastructure and company wide solutions
• Manage and execute entire project from start to finish including problem solving, data gathering and manipulation, predictive modeling and project management

A day in the life

A successful candidate will excel at driving multiple concurrent projects, balancing strategic initiatives with urgent operational needs. They must demonstrate the ability to navigate complex stakeholder environments, accommodate evolving requirements and drive decisions despite ambiguity.

About the team

Diverse Experiences

Amazon Security 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.

Why Amazon Security

At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.

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.

Inclusive Team Culture

In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.

Training and Career growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Experience in Statistical Analysis packages such as R, SAS and Matlab
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred Qualifications

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.