Advanced working SQL knowledge and experience with relational databases
Experience building and optimizing data pipelines, architectures, and data sets
Experience with programming to develop and code ETL
Experience performing root cause analysis on data and processes
Strong analytic skills related to unstructured datasets
Build processes supporting data transformation, data structures, metadata, dependency, and workload management
3+ years in a Data Engineer role
Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field
Experience with Database Administration/Maintenance
Experience with big data tools and distributed SQL such as Azure Data Factory/Synapse
Experience with relational SQL including Postgres and SQL Server
Experience with Analytics Tools such as Power BI
Experience with Microsoft Azure cloud services
Experience with scripting languages such as Python, Java, C++, Scala, Go
What the job involves
The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams.
The Data Engineer will support our software developers on data initiatives and ensure optimal data delivery architecture is consistent.
The right candidate will be excited by optimizing or re-designing our data architecture to support next-gen products and data initiatives.
TapestryHealth is dedicated to transforming post-acute care through advanced technology solutions, particularly for skilled nursing facilities. By integrating AI and proactive management techniques, we aim to enhance patient care and operational efficiency, ensuring a 24/7 safety net for residents while reducing readmissions.