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General Dynamics Information Technology

Cloud Data Engineer, Azure

General Dynamics Information Technology

. Lead modernization of IHS health records by establishing a central repository for clinical data and longitudinal patient records .

Posted 10/12/2026full-timeRemote • United StatesMid-LevelSenior💰 $85,093 - $115,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in Azure Data Engineering, including the design and implementation of data pipelines, ETL processes, and data modeling for healthcare systems. Proven ability to lead technical initiatives and collaborate with cross-functional teams to optimize data architecture and ensure data quality.

Highest-signal resume keywords
Azure Data FactoryPySparkSQLData ModelingETL Processes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonAzure Data Lake Storage Gen2Azure Synapse AnalyticsInfrastructure as CodeRESTful APIsCI/CD PipelinesDevOps PracticesHL7 FHIRBicepTerraform
Soft Skills
Technical LeadershipCollaboration
Tools & Technologies
Azure MonitorSpark ClustersPower BI
Certifications & Qualifications
Azure Certifications
Industry Keywords
Healthcare Data SystemsClinical Data WorkflowsAgile Methodologies

Tech Stack

Tools & technologies
AzureCloudETLPySparkPythonSparkSQLTerraform.NET

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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