For more information please reach out to Brad Szallar or Kyle Philips 

Verana Health is seeking a Data Engineering professional with the skills to build and maintain data-driven applications. The engineer will build and support a suite of data tools and applications that orchestrates the ingestion of data from multiple EHR sources, provides process and data intelligence to business users, and enables the maintenance of mappings from original EHR data to a common data model. The candidate will take part in the broader technology team responsible for managing company-wide data ingestion and healthcare data mapping effort.

Job Duties and Responsibilities:

• Build a data-processing infrastructure in compliance with security requirements to maintain and continuously improve HITRUST compliance.
• Implement integration with electronic health records (EHR) and practice management systems.
• Automate the generation of ETL code to run on Apache Spark and potentially cloud data warehouse in the AWS infrastructure
• Automate the profiling of EHR and other databases.
• Understand healthcare-specific data models, data dictionaries, defined vocabularies and other metadata and assist in mapping data elements to standard data specifications.
• Work closely with technology teams to understand processes and policies driving the team goals.
• Document and improve data mapping and data element identification processes across the entire data ingestion team.

Basic Requirements:

• A minimum of a BS degree in computer science, software engineering, or related scientific discipline, coupled with 5 years of software/data engineering experience.
• 4+ years of experience in Data Modeling, logical/physical database designing
• 4+ years of experience utilizing multiple data and network related services in a cloud environment.
• 2+ years operating in a CI/CD environment 
• 4+ years of experience with Pyspark and SQL
• 3+ years of experience implementing and designing data warehouses using MPP databases such as Snowflake, BigQuery or Redshift
• Experience with clinical data sets
• Proficient in design of ETL/ELT for batch and streaming processes

Bonus:

• Experience in data models of one/two of the major EHRs - Epic, Cerner, Centricity, Athena, eClinicalWorks, Compulink, IntelleChartPRO (MDIntelleSys), NextGen, Centricity, EyeMD,  Allscripts, CareCloud, iMedicWare, Integrity etc.
• Basic understanding of the clinical & EHR workflow, including knowledge of expected high-level data elements and categories, and understanding of standard medical terminologies and coding systems (e.g., ICD-10-CM, CPT, SNOMED, HCPCS)
• Experience implementing a CI/CD based development process
• Test Driven Development experience
• Knowledge of security considerations that apply in data engineering
• Experience with health interoperability standard information models (e.g., C-CDA, HL7, FHIR CDM)