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Senior Data Engineer, Ring Data Management
Are you passionate about the intersection of Cloud computing, Big Data analytics, and Privacy services? Come join Ring's Data management team to lead the vision of Data Warehouse, Data Lake, and Data Privacy services.
Ring is seeking a Sr. Data Engineer who is passionate about building and shaping data products with a strong emphasis on design, quality, performance, privacy and customer satisfaction. You should have strong knowledge and understanding of how to optimize teams, process and performance.
Key job responsibilities
Ring is seeking a Sr. Data Engineer with strong analytical, communication, and project management skills to join our team. This role will be a key member of a Data Management team at Ring based in Hawthorne, CA. Working closely with business stakeholders, software development engineers, and scientist colleagues, you will design, architect, 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.
The ideal candidate has outstanding analytical abilities, excellent communication skills, a good business understanding, and is technically savvy. They are an analytical problem solver who enjoys diving into data, is excited about solving ambiguity problems, can multi-task, and can interface between technical teams and business stakeholders.
We are open to hiring candidates to work out of one of the following locations:
Hawthorne, CA, USA
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $123,700/year in our lowest geographic market up to $240,500/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. Applicants should apply via our internal or external career site.