Data Engineer II, Ring Data Warehouse
Job Description
Ring is seeking a Data Engineer with strong analytical, communication, and project management skills to join our team. This role will work closely with software development engineers, scientists, and business stakeholders across various verticals. You will design, evangelize, and implement efficient solutions that help us provide a great customer experience at a greater velocity.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, optimization models, statistical models, and simulations. The ideal candidate will utilize Generative AI tools to streamline data pipeline development, automate documentation generation, enhance code quality through AI-assisted reviews, and accelerate problem-solving in complex data scenarios. Experience with AI-powered development tools, automated testing frameworks, and intelligent data analysis platforms is highly valuedKey job responsibilitiesThis role will be responsible for building and maintaining efficient, scalable, and privacy/security complaint data pipelines to support our business stakeholders. These pipelines will be built using both tools available in Native AWS as well as Amazon internal tools and technologies.This role will need to be able to work closely with stakeholders to understand their needs and work alongside them to ensure data being ingested meets the business user's needs and will well modeled and organized to promote scalable usage and good data hygiene.This role is expected to leverage new technologies like Gen AI to and adapt to business needs, building and improving frameworks and processes with these new tools to accelerate development and improve data quality.A day in the lifeThis Role will:- Collect and Discuss requirements from Business Stakeholders across verticals such as Subscriptions, Sales, Reverse Logistics, Finance, Product, etc.- Build new data ingestions using a combination of Native AWS services and/or internal Amazon tools. - Maintaining/Improving existing data ingestions and ensuring they meet evolving standards and corporate mandates.- Building/Improving/Maintaining frameworks or tools for internal team and external stakeholder usage to manage data.- Performing Code Reviews and ensuring best practices are followed for ETL and Data Hygiene by team members and supporting teams.- Building and updating AI Agents to streamline Data Engineering TasksAbout the teamRing Data Warehouse team manages the centralized data repository for Ring. We bring in and publish data from numerous internal and external sources, which are used by various stakeholders such as Ring Product engineering, Finance, Supply Chain, Marketing, Customer Support, and Sales information.
Locations
- United States, CA, Hawthorne, Hawthorne, CA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
150,000 - 220,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 3+ years of data engineering experienceintermediate
- - Experience with data modeling, warehousing and building ETL pipelinesintermediate
- - Experience with SQLintermediate
- - Experience with Gen AI enhanced development pipelinesintermediate
Required Qualifications
- - 3+ years of data engineering experience (experience, 3 years)
- - Experience with data modeling, warehousing and building ETL pipelines (experience)
- - Experience with SQL (experience)
- - Experience with Gen AI enhanced development pipelines (experience)
Preferred Qualifications
- - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions (experience)
- - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS (experience)
- - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) (experience)
- 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. (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
Responsibilities
- This role will be responsible for building and maintaining efficient, scalable, and privacy/security complaint data pipelines to support our business stakeholders. These pipelines will be built using both tools available in Native AWS as well as Amazon internal tools and technologies.
- This role will need to be able to work closely with stakeholders to understand their needs and work alongside them to ensure data being ingested meets the business user's needs and will well modeled and organized to promote scalable usage and good data hygiene.
- This role is expected to leverage new technologies like Gen AI to and adapt to business needs, building and improving frameworks and processes with these new tools to accelerate development and improve data quality.
Documents
Application Instructions
https://www.amazon.jobs/en/jobs/3111720