Data Engineer II, RingBlink Customer Service Engineering and Insights

Role Summary
We are seeking a Data Engineer to join our Customer Service Engineering and Insights team at Ring & Blink. This role owns the data platform foundations that enable analytics AI initiatives and future data-driven capabilities across the organization. You will operate and evolve ETL pipelines and AWS data infrastructure ensuring data is secure reliable compliant and ready for downstream consumption.
This role is hands-on and execution-focused with strong emphasis on orchestration reliability and pipeline quality. You will work closely with BI Engineers Technical Architects Salesforce System Developers and platform partners to translate architecture into production-ready systems.
The role requires a high degree of ownership and self-sufficiency. The ideal candidate is comfortable independently exploring existing systems quickly diagnosing issues and driving improvements from problem definition through production. You will be expected to move fast in a dynamic environment proactively identify opportunities to improve platform reliability and maintainability and remove technical roadblocks to keep delivery moving.


Role Context
At the time this role starts the team will be completing a migration to a new dedicated Redshift cluster establishing full ownership of our customer support data platform. Core data models and pipeline designs will largely be defined and the team will be in the execution and stabilization phase of the migration. The primary focus of this role is to stabilize harden and improve the data pipelines and orchestration layer leading the effort to address accumulated technical debt and evolve the platform toward industry-standard maintainable designs that support analytics AI initiatives and future data use cases.



Key job 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

A day in the life
You triage failed Airflow pipelines debug cross-account IAM and Lake Formation issues and refactor Python ETL jobs to reduce technical debt. You sync with BI Engineers on data requirements update runbooks for operational clarity and review pull requests. You monitor SLAs ensure compliance with data governance standards and hand off issues to on-call with clear context.

About the team
The CS Engineering and Insights team powers customer service operations for Blink and Ring unifying expert Salesforce developers software engineers BI engineers and data scientists. We deliver innovative solutions that enhance customer experience and agent effectiveness through advanced solutions and data-driven insights. Our culture emphasizes rapid prototyping creative problem-solving and continuous learning through cross-training. Team members are empowered to think strategically and propose innovative approaches to complex problems.

- Bachelors degree
- 5 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Strong Python experience for ETL development and automation

- 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 with Airflow or similar orchestration frameworks
- Experience modernizing pipelines to reduce technical debt and improve reliability
- Exposure to data platforms supporting AI or advanced analytics use cases
- Strong written and verbal communication skills and comfort operating independently in ambiguous problem spaces

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 Companys 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 CA Hawthorne - 132100.00 - 178800.00 USD annually