Data Engineer (Mid to Senior Level)

Responsibilities:

• 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

Required Qualifications:

• 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

Preferred Qualifications:

• Extensive experience with DBT
• Extensive experience with Snowflake
• Extensive experience with columnar data formats
• Extensive experience with A/B Testing and related optimization across desktop and mobile
• Extensive experience with DevOps (preference for AWS experience)
• Experience with ML pipelines
• Experience working in Educational Technology companies and a competitive landscape