Data Engineer, Ring Data Science and Engineering

Ring develops smart home security products and services as part of Amazon's ecosystem.
$118,900 - $205,600
Data
Mid-Level Software Engineer
In-Person
3+ years of experience
Enterprise SaaS · Consumer

Description For Data Engineer, Ring Data Science and Engineering

Ring, an Amazon company, is seeking a talented Data Engineer to join their Data Warehouse team in building and maintaining mission-critical data infrastructure. This role offers an exciting opportunity to work at the intersection of smart home technology and data engineering, supporting Ring's mission to enhance home security.

The position involves working with a diverse set of stakeholders across Ring's business units, including Product Engineering, Finance, Supply Chain, Marketing, Customer Support, and Sales. As a Data Engineer, you'll be responsible for designing and implementing sophisticated data pipelines using both AWS native services and Amazon's internal tools.

The role requires strong technical expertise in data engineering, with hands-on experience in SQL and data modeling. You'll be working with a complex data environment, handling various analytics use cases from business reporting to machine learning and optimization models. The position offers exposure to cutting-edge AWS technologies and the chance to work with large-scale data systems.

Key responsibilities include building new data ingestion pipelines, maintaining existing systems, and ensuring data quality and security compliance. You'll also have the opportunity to contribute to framework development and tool creation that will improve team efficiency and data management capabilities.

The compensation package is competitive, ranging from $118,900 to $205,600 based on location and experience, plus additional benefits including medical coverage, equity, and potential sign-on bonuses. This is an excellent opportunity for a data professional looking to make an impact in a fast-growing technology company while working with enterprise-scale data systems and modern cloud technologies.

The ideal candidate will bring 3+ years of data engineering experience, strong analytical capabilities, and excellent communication skills. You'll be joining a collaborative team environment where you can grow your career while working on meaningful projects that directly impact millions of Ring customers.

Last updated a minute ago

Responsibilities For Data Engineer, Ring Data Science and Engineering

  • Collect and discuss requirements from Business Stakeholders across verticals
  • Build new data ingestions using AWS services and internal Amazon tools
  • Maintain and improve existing data ingestions
  • Build and maintain frameworks or tools for internal team usage
  • Perform Code Reviews and ensure best practices for ETL and Data Hygiene
  • Design and implement state-of-the-art solutions for customer experience
  • Work with complicated data environment and handle various analytics use cases

Requirements For Data Engineer, Ring Data Science and Engineering

Python
  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with SQL
  • Strong analytical, communication, and project management skills

Benefits For Data Engineer, Ring Data Science and Engineering

Medical Insurance
Dental Insurance
Vision Insurance
Equity
  • Full range of medical benefits
  • Financial benefits
  • Equity compensation available
  • Sign-on payments may be available
  • Comprehensive benefits package

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