Data Engineer

• BA/BS in Computer Science, Engineering, Mathematics or related field.
• 4+ years of relevant work experience in a role requiring application of analytic skills to integrate data into operational planning/business planning or advanced degree.
• Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy.
• Advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau and Quicksight preferred).
• Advanced ability to draw insights from data and clearly communicate them (verbal/written) to the stakeholders and senior management as required.
• Be self-driven, and show ability to deliver on ambiguous projects in spite of incomplete or inaccurate data. •
• An ability and interest in working in a fast-paced and rapidly-changing environment.

Ring is seeking a 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, 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.

• MBA or Master’s degree in Computer Science, Engineering, Statistics, Mathematics or related field.
• Experience in writing and tuning SQL scripts.
• Experience working in very large data warehouse environments.
• Experience conducting large scale data analysis to support business decision making.