Business Dev Engineer I, NatSec & Defense (NSD) Builders

Amazon Web Services (AWS) is the leading cloud provider, providing infrastructure, storage, networking, messaging, and many other services to customers all over the world. AWS runs a globally distributed environment, operating at massive levels of scale. Businesses, from start-ups to enterprises, run their operations and applications on AWS’s multi-tenant infrastructure. Governmental organizations are also looking to and depending on AWS for cloud solutions and services.

The AWS World Wide Public Sector NatSec & Defense (NSD) Builders Team is looking for a Data or Software Engineer to support our public sector business. The NSD Builders support internal teams that focus on internal operations, contract management, and business development. We build a broad spectrum of data products ranging from interactive dashboards, to externally facing customer deliverables, to cross-domain data distribution systems. Our emphasis is on building automated, scalable capabilities that accelerate operations and drive business growth.

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
- Consult with internal and external customers to identify business needs and challenges
- 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 scalability

A 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.

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.

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 conferences, inspire us to never stop embracing our uniqueness.

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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.

Basic Qualifications

- 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

Preferred Qualifications

- 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.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate