Amazon · 1 week ago
Data Engineer II, Ring/Blink Customer Service Engineering Services
Hawthorne, California, USA
Full-time
Onsite
Mid, Senior Level
$119K/yr - $206K/yr
5+ years expAmazon is seeking a Data Engineer to join their Customer Service Engineering Services team at Ring & Blink. This role focuses on owning and evolving ETL pipelines and AWS data infrastructure to ensure data readiness for analytics and AI initiatives while collaborating with various technical teams to improve platform reliability and maintainability.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Own and operate ETL pipelines and data infrastructure that provide data readiness for analytics, AI initiatives, and other downstream use cases
Implement, maintain, and own data access and data-related permissions across AWS accounts, including IAM roles, trust relationships, and permissions for Athena, Redshift, and related services; debug and resolve IAM, Lake Formation, and cross-account data access issues, and coordinate with partner teams when broader AWS issues impact data pipelines
Serve as the primary operational owner of the existing Airflow orchestration layer, focusing on execution monitoring, failure triage, alerting, SLA adherence, and pipeline reliability, while enabling BI Engineers to troubleshoot and contribute as needed
Develop, operate, and support Python-based ETL jobs, including Airflow-executed Python tasks and jobs running on EC2 or other managed compute, ensuring reliability, observability, and maintainability through established engineering best practices
Lead the identification and reduction of technical debt across ETL pipelines and orchestration, including evaluating job dependencies, brittle workflows, and re-run/backfill patterns, and driving incremental improvements in partnership with the team as the platform stabilizes
Own data pipeline design considerations related to legal, security, and compliance requirements, including evaluating existing data retention and access-control implementations and redesigning or refactoring pipeline logic as needed to address gaps and ensure ongoing compliance with approved governance standards
Partner with BI Engineers to ensure data outputs are consistent, validated, and ready for consumption, without owning business metrics or dashboards
Create and maintain runbooks, operational documentation, and standards to support long-term scalability, knowledge transfer, and on-call readiness
Proactively identify risks and improvement opportunities, and independently drive scoped initiatives from investigation through production, escalating architectural concerns when appropriate
Qualification
Required
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 with Airflow or similar orchestration frameworks
Experience owning IAM permissions and access control in multi-account AWS environments
Preferred
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
3+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
Experience handling ambiguous or undefined challenges through strong problem solving abilities
Experience managing data pipelines
Benefits
Medical
Financial
Other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
The Motley Fool
2026-01-09
2026-01-08
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