Sr. Data Engineer, AppStar Data Analytics & Engineering
Amazon
- United States
- United States
À propos
DESCRIPTION: Are you passionate about building the next generation of data infrastructure that powers security insights and analytics at scale? Do you want to lead the modernization of a security data platform that enables measurable improvements in application security across Amazon?
As a Senior Data Engineer on the AppStar DNA team (Data & Analytics Engineering), you will be a technical leader driving our data platform evolution-a strategic effort to modernize our security data infrastructure into a scalable, semantically rich, and operationally excellent data ecosystem. You will define and own data architecture at the team level, working across multiple data domains to build the foundational data infrastructure that powers the AppStar organization.
This is not a role where you inherit a finished system-you will architect and lead the transformation. You'll work at the intersection of large-scale data engineering, modern lakehouse architectures, and security domain expertise to build a unified Security Data Model that serves as the backbone for analytics and reporting use cases.
You should be a builder who thinks in terms of architecture, not just code. You thrive in ambiguity, proactively identify and solve systemic data problems, and set engineering standards that raise the bar for your team. You bring deep expertise in data modeling, ETL/ELT pipeline design, and distributed data systems, and you combine that with strong business judgment to make the right trade-offs between short-term delivery and long-term platform health.
Amazon is continuously innovating new services and features for our customers. Our engineers invent, build, and sometimes break things to make them easier, faster, better, and more cost-effective. However, no matter what we're building-from websites to web services, AR to AI, drones to devices-security is always our top priority. The Amazon Application Security team focuses on working with our builders to provide experiences that our customers can trust. That means constantly learning new things and solving complex problems to protect the safety, security, and privacy of billions of lives on a global scale.
At Amazon, you'll be working with the best minds in technology and security. Learn and be curious here, and accelerate your career growth. You can take pride in knowing that your work is meaningful, having a positive impact on others and making the world a better place.
Key job responsibilities * Define and own the data architecture for security data domains, ensuring data is auditable, available, and accessible * Design and implement large-scale ETL/ELT pipelines using SQL, Python, and AWS services (Redshift, Glue, S3, Lambda, Step Functions, Athena, Apache Airflow) * Lead the migration and modernization of legacy security data pipelines to modern lakehouse patterns (Apache Iceberg, Spectrum, Lake Formation) * Build and maintain the context layer-conformed dimensions, standardized data models, entity models, and data contracts-that serve as the single source of truth for AppStar security data * Architect data solutions that enable analytics and insights-ensuring data quality, lineage, and freshness support advanced use cases * Drive data engineering best practices across the team: data modeling standards, naming conventions, data quality frameworks, CI/CD for data pipelines, and operational excellence * Proactively identify and resolve architecture deficiencies-simplify complex data flows, remove bottlenecks, and reduce technical debt * Split development work into parallel tasks, mentor junior engineers, and ensure deliverables come together into a coherent whole * Learn and understand a broad range of Amazon's security data resources and know when, how, and which to use * Participate in design reviews, on-call rotations, and incident response for production data pipelines
About the team 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.
AppStar DNA Team (Data & Analytics Engineering) The AppStar DNA team supports the AppStar organization, which is responsible for securing applications at Amazon. Our team is committed to building world-class data infrastructure that provides the foundation for analytics solutions, enabling visibility into security performance and driving data-informed decision-making across security teams. We work with massive volumes of security data to deliver the infrastructure that powers insights with immediate influence on how Amazon secures its applications and protects customer trust.
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 flexible work hours and arrangements are part of our 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: - 5+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience mentoring team members on best practices PREFERRED QUALIFICATIONS: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience operating large data warehouses
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.
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
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USA, NY, New York - 170,000.00 - 230,000.00 USD annually]]>
Compétences linguistiques
- English
Avis aux utilisateurs
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