Sr. Software Engineer - Spyglass Partners, LLC
Nashville, TN 37203
About the Job
What you'll need to be successful:
We value demonstrable knowledge and the ability to deliver real-world solutions above formal
education. Candidates are expected to have experience and/or an interest in learning:
Web development: Knowledge and experience in HTML, CSS, Javascript, and frontend
frameworks such as Vue and React.
Data engineering: Knowledge and experience with Node.js/Express, API design patterns,
SQL/GraphQL, and other common technologies for accessing, manipulating, and transforming
data for use in various application contexts. Familiarity with SQL and no-SQL
databases–particularly PostgreSQL and Google BigQuery–as well as streaming data systems such
as Google Pub/Sub and Kafka.
Cloud and data technologies: Experience with Google Cloud services, particularly Cloud Storage,
Memorystore/Redis, and Google Kubernetes Engine.
Experimentation and learning mindset: Familiarity and comfort creating data collection
approaches and working with data to derive insights about how an application or architecture is
working and how to improve it.
Healthcare domain expertise: Knowledge or eager willingness to learn about the healthcare
industry and landscape, including the economics of healthcare, how hospitals and healthcare
providers operate on a daily basis, and healthcare data standards and regulations (e.g., HIPAA,
HL7, FHIR).
We value demonstrable knowledge and the ability to deliver real-world solutions above formal
education. Candidates are expected to have experience and/or an interest in learning:
Web development: Knowledge and experience in HTML, CSS, Javascript, and frontend
frameworks such as Vue and React.
Data engineering: Knowledge and experience with Node.js/Express, API design patterns,
SQL/GraphQL, and other common technologies for accessing, manipulating, and transforming
data for use in various application contexts. Familiarity with SQL and no-SQL
databases–particularly PostgreSQL and Google BigQuery–as well as streaming data systems such
as Google Pub/Sub and Kafka.
Cloud and data technologies: Experience with Google Cloud services, particularly Cloud Storage,
Memorystore/Redis, and Google Kubernetes Engine.
Experimentation and learning mindset: Familiarity and comfort creating data collection
approaches and working with data to derive insights about how an application or architecture is
working and how to improve it.
Healthcare domain expertise: Knowledge or eager willingness to learn about the healthcare
industry and landscape, including the economics of healthcare, how hospitals and healthcare
providers operate on a daily basis, and healthcare data standards and regulations (e.g., HIPAA,
HL7, FHIR).
Source : Spyglass Partners, LLC
