Sr. Data Engineer, AppStar Data Analytics & Engineering

Amazon • New York, NY

3d

About The Position

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.

Requirements

• 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

Nice To Haves

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience operating large data warehouses

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

Benefits

• Amazon package will include sign-on payments and restricted stock units (RSUs).
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed