Ring is seeking a Data Engineer with strong analytical, communication, and project management skills to join our team. This role will work closely with business intelligence engineers, data scientists, and business stakeholders across various verticals. You will design, evangelize, and 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, and support various analytics use cases including business reporting, production data pipelines, machine learning, and optimization models. This role will be expected to utilize GenAI to build reliable, scalable data pipelines, which produce data optimized for our customers, who will also be utilizing AI Agent pipelines.
Key job responsibilities
In this role, you will:
• Design, build, and 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, and optimization models — by producing clean, query-ready data.
• Partner with business intelligence engineers, data scientists, and stakeholders across verticals, evangelizing platform standards and best practices.
A day in the life
A typical day blends building, collaborating, and 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, and 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 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, and 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 business.
- 5+ years of data engineering experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
- 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
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.
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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.
USA, CA, Hawthorne - 132,100.00 - 178,800.00 USD annually