Data Engineer II, Ring Agent Platforms

Amazon.com, Inc.
Hawthorne, United States of America
15 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 179K

Job location

Hawthorne, United States of America

Tech stack

Java
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Code Review
Databases
Data Cleansing
Information Engineering
Data Infrastructure
ETL
Data Stores
Graph Database
Identity and Access Management
Python
Machine Learning
Node.js
Operational Databases
Scala
Software Engineering
SQL Databases
Scripting (Bash/Python/Go/Ruby)
Electronic Medical Records
Amazon Web Services (AWS)
Non-relational Database
Virtual Agents
Data Pipelines
Redshift
Programming Languages

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, scientist 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 pipeline, machine learning, optimization models, statistical models, and simulations. 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., 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 be able to learn and adapt quickly new technologies like GenAI tooling and business needs, building and improving frameworks and processes, incorporating new patterns and technologies where appropriate.

A day in the life

This 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 and GenAI Agents 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.

About the team

Ring Agent Platforms manages the centralized data repository for Ring and maintains GenAI Agent Platform. 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. We build and maintain a data platform for teams to onboard and build GenAI Agents and interact with data we collect and curate about the Ring Business.

Requirements

  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with SQL

Preferred Qualifications

  • 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

Benefits & conditions

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

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