Data Engineer - Mid to Senior Level

June 12

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Age of Learning

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Leading edtech innovator, creator of ABCmouse, Adventure Academy, My Math Academy, My Reading Academy, ABCmouse English.

Early childhood education • Early literacy skills • Educational games • Original high quality educational content • Educational puzzles

501 - 1000

Description

• Design, develop, test, implement, document, and support Data & Analytics systems that adhere to software engineering best practices • Proactively identify and resolve operational issues with evolutionary recommendations • Ensure testing and validation mechanisms are in place so that data transformations are verified, complete, document, and meet SLAs • Execute projects on tight deadlines in a fast-paced matrixed organization collaborating with multiple product engineering teams • Advocate and participate in Agile/Scrum practice to ensure process health • Communicate effectively about data, engineering, process, and requirements

Requirements

• 3+ years of data engineering and/or software development corporate experience • Able to leverage abstraction to solve complex problems • Experience designing and building scalable data systems • Excellent SQL skills • Proficient in dimensional modeling for data warehousing • Fluent in a general-purpose programming language (preference for Python) • Understands how to leverage both functional and object-oriented programming • Familiarity with DevOps (preference for AWS experience) • Great at data mining • Extensive exposure to Agile workflows • Exemplary communication skills (both written and oral) • Good time management skills • Can work iteratively, defining requirements as needed

Benefits

• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service