Data Engineer

Responsibilities:

• Analyze and problem solve production deployments
• Manage client configuration following our agile process
• Develop infrastructure to translate data to our FHIR knowledge graph
• Collaborate with other team members and stakeholders
• Help design our client configuration
• Plan and coordinate production engineering processes on a daily basis to produce high quality products.
• Perform engineering analysis to reduce downtime and outages.
• Provides training and guidance to team members to accomplish production goals.
• Stay current with product specifications, engineering technology and production processes.
• Investigate problems, analyze root causes and derive resolutions.

What you’ll need:

• Degree in Computer Science or related field
• Python expertise (4+ years experience) - Pandas, Jupyter, Flask, Docker
• Postgres or SQL expertise
• Experience building data pipelines.
• Experience with structured Enterprise Architecture practices, hybrid cloud deployments, and on-premise-to-cloud migration deployments and roadmaps
• Experience in network infrastructure, security, data or application development
• A hands-on, engaged approach to solving problems
• Excellent communication skills and experience in collaborative environments
• The desire to be continually learning about emerging technologies/industry trends