Principal Engineer

Gray Matter Analytics is seeking a Principal Engineer to join our growing Analytics as a Service team for Healthcare.

Who Are We

Gray Matter Analytics is a data analytics partner to the healthcare industry. Our “native cloud” analytic solutions and associated services enables clients’ business strategies and help solve their business challenges.

 

What We Look For

We are looking for a Principal Engineer who can help lead our CoreTechs® team to build “native cloud” analytic products for our healthcare clients. This position will report directly to the CTO.

 

Position Responsibilities

  • Write clean, concise, maintainable code and tests for the full stack (data pipeline, security and web UI)
  • Drive automation at every step from code to deploy
  • Actively participate in team code reviews and enforce quality standards
  • Promote and enforce good practices in development and operations
  • Identify opportunities and weaknesses in the platform architecture
  • Design and document new features/capabilities of the platform
  • Refine, when appropriate, the architecture and technology components
  • Offer mentoring and feedback on design, development and documentation for the team
  • Management of technical, product, and client delivery, with a proven ability to rationalize tough problems, track many moving parts across teams and business/product domains, and influence strategic direction
  • Contribute to the growth of the product and organization

 

Qualifications:

  • Bachelors in a CS-related field
  • 8+ years of relevant experience (Healthcare solutions focused experience is a plus)
  • Extensive understanding of product/application designs and software development
  • Agile development experience
  • Inquisitive on Data and Analytics technologies and trends – current on new ideas and tools
  • Programming / Scripting (Python, Scala, Bash, Korn Shell, JavaScript)
  • Big Data (Hadoop, Spark, Kafka, Storm)
  • Front end coding languages/frameworks (Material Design/Theme, AngularJS)
  • Cloud Platforms (AWS, Azure, GCP)
  • Data Concepts (near-/real-time streaming, data ingestion, data transformations, data structures, metadata, master data, data flow management)
  • Databases (SQL and NoSQL data bases)
  • Markup Languages (JSON, XML)
  • Code Management Tools (Git/GitHub)
  • Deployment, Containerization, Workflow experience is a plus: (Terraform, Docker, Kubernetes, Airflow)
  • Requirements management and agile tools: (Jira)

 

 

 

 

 

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