Senior Data Engineer Ring Data Science and Engineering
Senior Data Engineer Ring Data Science and Engineering
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 139100 - 240500
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
Come build the future of smart security with us. Are you interested in helping shape the future of devices and services designed to keep people close to whats important
ABOUT RING
We started in a garage in 2012 when our founder asked a simple question: what if you could answer the front door from your phone What if you could be there without needing to actually you know be there After many late nights and endless tinkering our first Video Doorbell was born.
That invention has grown into over a decade of groundbreaking products and nextlevel features. And at the core of all that everything weve done and everything weve yet to build is that same inventors spirit and drive to bridge the distance between people and what they care about. Whatever it is at Ring were committed to helping you be there for it.
ABOUT THE ROLE
The Senior Data Engineer within Ring Data Science and Engineering plays a pivotal role in shaping how we architect analytics and data science solutions to operate datadriven decision making at scale across all business units carry the voice of our customers inform business and product strategy with data and provide a quality data foundation for AI.
Key job responsibilities
We are seeking an experienced Senior Data Engineer to lead the technical designs of data lakes data warehouses and data pipelines within the Ring Data Science and Engineering org. In this role you will:
* Own the design development and maintenance of scalable solutions for ongoing metrics reports analyses dashboards etc. to support analytical and business needs
* Interface with other technology teams to extract transform and load data from a wide variety of data sources using AWS services and internal tools
* Design efficient and scalable data warehouse models.
* Be responsible for design and code reviews.
* Build and deliver high quality data sets to support data scientists and customer reporting needs.
* Identify opportunities to leverage AI for increased productivity.
* Drive improvements in automation and quality.
* Continually improve ongoing reporting and analysis processes automating or simplifying selfservice support for customers.
* Find and create ways to measure the customer experience to drive business outcomes.
* Recognize and adopt best practices in data engineering: integrity design analysis validation and documentation.
* Troubleshoot operational quality issues.
* Review and audit existing jobs and queries.
* Recommend improvements to backend sources for increased accuracy and simplicity.
A day in the life
Youll collaborate with multiple teams of data business intelligence software and systems development engineers shaping our data strategy through vision setting data governance and operational excellence; fostering an inclusive culture that encourages empathy experimentation and innovation. You will guide your teams in balancing strategic thinking with company objectives and collaborate with key crossfunctional leaders and teams to work backwards from the customer to ideate validate and execute business opportunities at the forefront of the data engineering landscape. This will include overseeing the regular application of techniques involving extracting transforming and loading very large datasets architecting data platforms for feature performance maintainability and scale measuring and improving data quality and driving measurable business impact.
Bachelors degree in computer science engineering analytics mathematics statistics IT or equivalent
5 years of data engineering experience
Experience mentoring team members on best practices
Expertlevel skills in writing and optimizing SQL
2 years development experience in python or similar scripting language for automation
34 years of work experience with ETL Data Modeling and Data Architecture with terabytes of data
1 years experience working with distributed computing and associated technologies such as Spark EMR etc.
2 years experience with Redshift. Tangible experience working with Redshift Spectrum AWS Glue and S3
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience operating large data warehouses
5 years of work experience with ETL Data Modeling and Data Architecture.
Experience or familiarity with newer AWS data and analytics tools such as AWS Lake Formation Sagemaker DynamoDB Lambda Kinesis ElasticSearch
23 years experience working with core AWS data and analytics services. Understand of the applicability limitations and tradeoffs between a wide set of AWS database and analytics technologies.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139100/year in our lowest geographic market up to $240500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
ABOUT RING
We started in a garage in 2012 when our founder asked a simple question: what if you could answer the front door from your phone What if you could be there without needing to actually you know be there After many late nights and endless tinkering our first Video Doorbell was born.
That invention has grown into over a decade of groundbreaking products and nextlevel features. And at the core of all that everything weve done and everything weve yet to build is that same inventors spirit and drive to bridge the distance between people and what they care about. Whatever it is at Ring were committed to helping you be there for it.
ABOUT THE ROLE
The Senior Data Engineer within Ring Data Science and Engineering plays a pivotal role in shaping how we architect analytics and data science solutions to operate datadriven decision making at scale across all business units carry the voice of our customers inform business and product strategy with data and provide a quality data foundation for AI.
Key job responsibilities
We are seeking an experienced Senior Data Engineer to lead the technical designs of data lakes data warehouses and data pipelines within the Ring Data Science and Engineering org. In this role you will:
* Own the design development and maintenance of scalable solutions for ongoing metrics reports analyses dashboards etc. to support analytical and business needs
* Interface with other technology teams to extract transform and load data from a wide variety of data sources using AWS services and internal tools
* Design efficient and scalable data warehouse models.
* Be responsible for design and code reviews.
* Build and deliver high quality data sets to support data scientists and customer reporting needs.
* Identify opportunities to leverage AI for increased productivity.
* Drive improvements in automation and quality.
* Continually improve ongoing reporting and analysis processes automating or simplifying selfservice support for customers.
* Find and create ways to measure the customer experience to drive business outcomes.
* Recognize and adopt best practices in data engineering: integrity design analysis validation and documentation.
* Troubleshoot operational quality issues.
* Review and audit existing jobs and queries.
* Recommend improvements to backend sources for increased accuracy and simplicity.
A day in the life
Youll collaborate with multiple teams of data business intelligence software and systems development engineers shaping our data strategy through vision setting data governance and operational excellence; fostering an inclusive culture that encourages empathy experimentation and innovation. You will guide your teams in balancing strategic thinking with company objectives and collaborate with key crossfunctional leaders and teams to work backwards from the customer to ideate validate and execute business opportunities at the forefront of the data engineering landscape. This will include overseeing the regular application of techniques involving extracting transforming and loading very large datasets architecting data platforms for feature performance maintainability and scale measuring and improving data quality and driving measurable business impact.
Bachelors degree in computer science engineering analytics mathematics statistics IT or equivalent
5 years of data engineering experience
Experience mentoring team members on best practices
Expertlevel skills in writing and optimizing SQL
2 years development experience in python or similar scripting language for automation
34 years of work experience with ETL Data Modeling and Data Architecture with terabytes of data
1 years experience working with distributed computing and associated technologies such as Spark EMR etc.
2 years experience with Redshift. Tangible experience working with Redshift Spectrum AWS Glue and S3
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience operating large data warehouses
5 years of work experience with ETL Data Modeling and Data Architecture.
Experience or familiarity with newer AWS data and analytics tools such as AWS Lake Formation Sagemaker DynamoDB Lambda Kinesis ElasticSearch
23 years experience working with core AWS data and analytics services. Understand of the applicability limitations and tradeoffs between a wide set of AWS database and analytics technologies.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139100/year in our lowest geographic market up to $240500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Department / Functional Area
Key Skills
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