REQ#: RQ193179Public Trust: Other Requisition Type: Regular Your Impact

Own your opportunity to manage the network that makes mission success possible. Make an impact by using your skills to deliver “One GDIT Network” for our clients.

Job Description

GDIT Technology Share Solutions (TSS) is seeking a Cloud Data Engineer (Azure) for the Indian Health Service Four Directions Datawarehouse (IHS 4DW) project. 

IHS, an agency within the Department of Health and Human Services, is the principal federal health care provider and health advocate for American Indian and Alaska Native (AI/AN) people. This role supports the mission critical modernization effort of retiring its resource and patient management system (RPMS) and moving to a new electronic health record system (EHR) system.

At GDIT, people are our differentiator. Join our Technology Shared Services (TSS) group and help deliver cutting-edge solutions to our clients. At GDIT, you’ll prioritize the client while we prioritize your career. 

HOW YOU WILL MAKE AN IMPACT:

Lead the modernization of IHS health records by establishing a central repository for clinical data and longitudinal patient recordsDesign and implement Azure data pipelines to consolidate clinical data from 200+ healthcare facilities into an enterprise analytics environmentDevelop automated ETL processes for high-volume JSON/HL7 FHIR data using Azure Data Factory and Data LakeCreate and optimize PySpark processes for large-scale healthcare data transformationBuild and maintain enterprise data models to standardize clinical information across facilitiesImplement monitoring solutions to ensure data quality and pipeline performanceProvide technical leadership on cloud architecture best practices

WHAT YOU’LL NEED TO SUCCEED:

Technical Training, Certification(s) or Degree and 1+ years of experience or equivalent years of experienceAbility to take the lead as a big data engineer on a database migration and data pipelines using AzureExtensive experience with Azure data services including Azure Data Lake Gen2, Azure Synapse Analytics, Azure Data Factory, Azure Monitor, and Spark ClustersProficiency in SQL and data modeling for enterprise-scale databasesStrong programming in Python (PySpark), and .NET for large-scale data processingExperience developing Infrastructure as Code and RESTful APIs in AzureTrack record of implementing CI/CD pipelines and DevOps practicesMust be able to obtain a public trust level 5 clearance, which requires residency in the U.S. for 3 of the last 5 years.

NICE TO HAVE:

Relevant Azure certifications such as Azure Data Engineer Associate (DP-203), Azure Database Administrator Associate (DP-300), and Azure Solutions Architect Expert (AZ-305)Experience in healthcare data systemsAdvanced PowerBI data visualization and development skillsExperience with HL7 FHIR implementation and healthcare data standardsExperience with Agile methodologies and team leadershipMaster's degree in Computer Science or related field

WHAT GDIT CAN OFFER YOU:

401K with company match.Customizable health benefits packages.Collaborative teams of highly motivated critical thinkers and innovators.Internal mobility team dedicated to helping you own your career.