Cloud Data Engineer, Azure

Job Description:

• Lead modernization of IHS health records by establishing a central repository for clinical data and longitudinal patient records
• Design and implement Azure data pipelines consolidating clinical data from 200+ healthcare facilities
• Develop automated ETL processes for high-volume JSON/HL7 FHIR data using Azure Data Factory and Azure Data Lake
• Create and optimize PySpark processes for large-scale healthcare data transformation and enrichment
• Build and maintain enterprise data models to standardize clinical information across facilities and data sources
• Implement monitoring and alerting solutions for data quality, reliability, and pipeline performance
• Collaborate with architects, data engineers, and stakeholders to define cloud data architecture and integration patterns
• Provide technical leadership on Azure cloud and data engineering best practices
• Support the Indian Health Service Four Directions Data Warehouse modernization project

Requirements:

• Technical training, certification(s), or degree and 3+ years of relevant experience, or an equivalent combination of education and experience
• 3+ years of related experience
• Ability to serve as a lead big data engineer on database migration and Azure-based data pipeline initiatives
• Extensive experience with Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Data Factory, Azure Monitor, and Spark clusters
• Proficiency in SQL and data modeling for enterprise-scale databases and analytics environments
• Strong programming skills in Python, including PySpark, and .NET
• Experience developing Infrastructure as Code using Bicep, ARM templates, or Terraform
• Experience developing RESTful APIs in Azure
• Track record implementing CI/CD pipelines and DevOps practices for data-oriented solutions
• Must be able to obtain a Public Trust Level 5 clearance
• Must have resided in the U.S. for at least 3 of the past 5 years for clearance eligibility
• U.S. citizenship is not required
• Work visa sponsorship will not be provided
• Master's degree in Computer Science, Information Systems, or a related field is nice to have
• Relevant Azure certifications are nice to have
• Experience with healthcare data systems, clinical data workflows, HL7 FHIR, Power BI, Agile methodologies, and technical leadership or mentorship is nice to have

Benefits:

• 401(k) with company match
• Customizable health benefits packages, including medical, dental, and vision plan options
• Health Savings Account options
• Full flex work weeks where possible
• Paid vacation, sick, personal time, holidays, parental, military, bereavement, and jury duty leave
• Typically 15 days of paid leave per calendar year
• 10 paid holidays per year
• Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees
• Short- and long-term disability benefits
• Life insurance
• Accidental death and dismemberment insurance
• Personal accident insurance
• Critical illness insurance
• Business travel and accident insurance
• Internal mobility team dedicated to helping employees own their careers
• Collaborative teams and career growth opportunities