• Supervise junior members of the data engineering team. Guiding, planning, and reviewing the team's work • Create and maintain optimal data pipeline architecture • Assemble large, complex data sets that meet functional / non-functional business requirements • Extend our machine learning platform by designing tools that interface with cloud services, our current code base, and provide new flexibility in model building • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python, and AWS • Build analytics tools to provide actionable insights into key business performance metrics, as well as supporting the needs of the analytics team • Create data-handling tools for analytics and data scientist team members that assist them in building and optimizing our decision-making process