Remote Amazon Data Engineer Jobs (NOW HIRING)

Join Amazon's Data Integration organization and help shape the future of AI-driven data integration. We're seeking a talented Software Engineer to join our AI and Platform Excellence (APEX) team. APEX is at the forefront of leveraging AI/ML to revolutionize data integration workflows, making them simpler, and more efficient.
As a member of APEX, you'll build core algorithms that harness the power of AI and machine learning to simplify the authoring, troubleshooting, upgrading, and optimization of data integration workflows

Your work will directly impact Amazon's ability to manage and utilize vast amounts of data across its many products and services.
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.
Key job responsibilities
- Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing.
- Build and own critical infrastructure powering Amazon's next-generation AI capabilities
- Collaborate with data scientists and ML experts to s to transform innovative ideas into production systems
- Optimize existing algorithms and systems for performance, scalability, and reliability
- Contribute to the full software development lifecycle, from conception to production deployment
- Mentor junior engineers and promote best practices in software development and AI implementation
A day in the life
- Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon
- Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering
- Growth: Learn from experts while working with the latest in AI technology
- Purpose: Help shape responsible AI development practices and sustainable computing
- Team: Join a collaborative environment focused on solving complex, meaningful challenges
This role offers unique exposure to both AI infrastructure and product development, positioning you to make significant contributions to Amazon's AI initiatives while working with some of the industry's brightest minds.
About the team
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.
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.
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.
.