High-level Responsibilities

• Create and maintain optimal, company-wide data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements, including:
• automating manual processes
• optimizing data delivery
• re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL, etc.
• Build analytics tools that use the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other business KPIs
• Work with the Executive, Product, Operations, and Design teams to assist with data-related technical & infrastructure needs

Specific Responsibilities

The Data Engineer will support our data analysts, data operations associates, database architects, and various business teams on data initiatives, and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

Some of the things you will work on:

• Build data pipelines that clean, transform, and aggregate disparate data
• Use software development principles to improve our back-end systems
• Model front- & back-end data sources to draw a comprehensive picture of data flow throughout the organization and enable powerful data analysis
• Develop models that can be used to answer questions for the business
• Communicate with other teams to understand their data needs

Your Metrics

• Uptime for data dashboards
• Response time for data dashboards
• Internal user satisfaction with data services

To apply for this role visit: Data Engineer vacancy