Data Engineer II, Ring NA Sales and Marketing
Amazon.com Services LLC•5h ago
United StatesOnsiteFull-timeMid Level5+ yrs exp
H-1B verified · 2310 LCAs
Top focus
Data EngineerSales EngineerVp DataData Warehouse EngineerSenior Data Engineer
- Ring is seeking a Data Engineer with strong analytical, communication
- project management skills to join our team. This role will work closely with business intelligence engineers, data scientists
- business stakeholders across various verticals. You will design, evangelize
- implement state-of-the-art solutions that help us provide a great customer experience. You will work with a complicated data environment, employ the right architecture to handle data
- support various analytics use cases including business reporting, production data pipelines, machine learning
- optimization models. This role will be expected to utilize GenAI to build reliable, scalable data pipelines
- produce data optimized for our customers, who will also be utilizing AI Agent pipelines. Key job responsibilities In this role, you will: - Design, build
- maintain reliable, scalable ETL/ELT pipelines that deliver data to RBKS sales and marketing teams, owning data-readiness SLAs and CloudWatch-based monitoring and observability. - Apply the right architecture for a complex, multi-channel data environment which supports the sell-through pipeline that serves as the single source of truth for Ring & Blink unit sales across 450+ datasets. - Leverage GenAI to accelerate development and produce data optimized for both analysts and downstream AI Agent pipelines. - Build direct API integrations for new retailers (Costco, Best Buy, Home Depot) using reusable frameworks that enable rapid onboarding without sacrificing reliability. - Contribute to large-scale migrations from the Ring Data Warehouse to native AWS and from Tableau to QuickSight and AI-driven reporting. - Identify and resolve data quality issues and performance bottlenecks in core pipelines without disrupting daily operations. - Enable diverse analytics use cases — business reporting, demand planning, machine learning
- optimization models — by producing clean, query-ready data. - Partner with business intelligence engineers, data scientists
- stakeholders across verticals, evangelizing platform standards and best practices. A day in the life A typical day blends building, collaborating
- maintaining. You monitor pipeline health and data-readiness SLAs across our GTM platforms, triaging issues before stakeholders are impacted. You partner with BIEs and data scientists to refine sell-through data models, scope new retailer API integrations
- advance migration efforts like Clara and Horizon. You leverage GenAI to accelerate pipeline development and harden the data feeding AtlasKB and our Bedrock agents. You participate in code reviews by authoring changes and reviewing teammates' work to uphold quality and platform standards. No two days look the same, but each one moves a strategic platform forward. About the team The RBKS Sales & Marketing Analytics team is the single source of truth for Ring and Blink go-to-market data, including sell-through, forecast, attainment
- inventory. We are a data engineering organization that owns the entire data lifecycle, from production ETL and Redshift cluster and AWS infrastructure to full-stack applications and CI/CD. We operate an extensive data platform along with AtlasKB, our company-wide AI-ready knowledge base. We also lead the GTM organization's AI strategy, translating enterprise ambition into scalable, production-grade execution. Our work directly powers planning and executive decision-making across the Ring and Blink business.
- 5+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience working in or building GenAI enhanced data pipelines Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff
- adhere to standards of excellence despite stressful conditions
- communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service
- and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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.
Required skills
SQLAWSRedshiftS3AWS GlueEMRKinesisFireHoseLambdaPythonJavaScalaNodeJS