Amazon Business Development Engineer II NatSec & Defense NSD Builders 

United States, Texas, Arlington 

520475755

In this role, you will be responsible for building end-to-end, cloud-based data pipelines and reporting capabilities. You will directly interact with multiple stakeholders, driving efficiency in daily operations while enabling data-driven decision-making. Your work will not only enhance how our business runs on a day-to-day basis but also support business development and long-term growth by optimizing data accessibility, automation, and scalability.This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph.Key job responsibilities- Architect, engineer, & maintain automated data solutions
- Work on multiple projects simultaneously
- Quickly distill ambiguous requirements into clearly defined action plans
- Never accept "good enough;" always prioritize automation and scalabilityA day in the life
About AWS
AWS 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.Mentorship & 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, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Bachelor's degree or equivalent
- Experience using data and metrics to determine and drive improvements
- 3+ years of driving end to end delivery, and communicating results to senior leadership experience
- Current, active US Government Security Clearance of TS/SCI with Polygraph

- 3+ years of program or project management experience
- Experience building automated data pipelines (ETL/ELT) using AWS Glue, AWS Athena, Azure Data Factory, or Apache Airflow.
- Proficiency in event-driven architectures with AWS Lambda, Azure Functions, or Step Functions.
- Skilled in automating infrastructure with Terraform or CloudFormation.
- Strong background in logging, monitoring, and alerting via CloudWatch, Azure Monitor, or ELK Stack.
- Expertise in database automation, including schema creation and query execution in Python/SQL.
- Experience with messaging systems like SNS, SQS, or Event Grid.
- Familiar with CI/CD pipelines and automated testing using AWS CodePipeline, GitHub Actions, or Azure DevOps.