Development/Data Operations

We’re seeking a Data Engineer to help bring together our internal data so we can make efficient decisions about our products and help develop some advanced features we are planning. You’ll be responsible for building ETLs and models based on in-house metrics, user generated data, enrichment data from third parties and external data that our customers are pushing into our system from their other applications.

Responsibilities:
• Build and own large parts of our data pipeline
• Help with user-facing features that require interaction with a data pipeline or ML model
• Build restful APIs around your work for the development team to use
• Work with the development team to properly key application metrics
• Build tools to manage, automate and monitor our data and data processing infrastructure
• Work independently to produce required functional, technical, and user documentation (e.g., business requirements, functional and technical specifications, system architecture, data flows, end-users training requirements)

Requirements:
• Experience in architecting, implementing and testing data processing pipelines and data mining / data science algorithms in a cloud environment
• Demonstrable knowledge and understanding of statistics
• Advanced SQL knowledge (Postgres)
• Experience with Python or Ruby
• Experience with ML frameworks such as Scikit-learn or PyTorch
• Experience designing and maintaining a BI solution
• Familiarity with modern development practices and DevOps