Your Challenge

As a Data Engineer, you will work closely with a multidisciplinary Agile team to build high-quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling Mango to advance the data-driven decision-making capabilities of our enterprise. This role requires a deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data / software engineer with experience creating data products supporting analytic solutions. The ideal candidate is a skilled data/software engineer with experience creating data products supporting analytic solutions. They are an Agile learner, possess strong problem-solving skills, work as part of a technical, cross-functional analytics team, and want to solve complex data problems and deliver the insights to enable analytics strategy.

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
• Create data products for analytics and data scientist team members to improve their productivity
• Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve our productivity as a team
• Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes