Data Engineer

·      Expertise in Python and PySpark
·      The ideal candidate should have at least 3+ years of experience in data engineering. Experience with a variety of data projects and environments, whether on-prem or in-cloud (ETL Tools, Business Intelligence & Analysis, Architecture). 
·      Mastery of PySpark, Python and SQL. Strong foundational knowledge of data lakes and AWS products such as AWS Glue. 
·      Experience with healthcare eligibility and claims, implementing APIs, HL7/FHIR standards, ETL scheduling solutions, SQL, and healthcare data security. 
·      Experience with GIT, CI/CD Process, Cloudform or Terraform.