FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Data Engineer
TrueScripts Management Services. Design, develop, deploy, and support cloud-native data solutions within Microsoft Azure .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing cloud-native data solutions within Microsoft Azure, focusing on data integration, ETL/ELT processes, and API development. Proficient in ensuring compliance with healthcare data security standards and supporting advanced analytics initiatives.
Highest-signal resume keywords
Microsoft Azure Solutions DesignETL/ELT Process DevelopmentAPI Development and IntegrationData Integration and TransformationHealthcare Data Security Compliance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringSQL DevelopmentAzure Data FactoryRESTful API DevelopmentRelational Database DesignData Lifecycle ManagementAutomation SolutionsData Quality TroubleshootingCI/CD PipelinesDevOps Practices
Soft Skills
Analytical ThinkingProblem-Solving SkillsAttention to DetailWritten CommunicationVerbal Communication
Tools & Technologies
Microsoft SQL ServerAzure DevOpsGitAzure FunctionsLogic AppsAzure Synapse AnalyticsDatabricksAzure Service BusEvent GridEvent Hubs
Industry Keywords
Healthcare Interoperability StandardsHIPAAPHIPIIPharmacy Benefit ManagementClaims ProcessingAI and Machine LearningAgile Software DeliveryEvent-Driven ArchitecturesMessaging Platforms
Tech Stack
Tools & technologiesAzureCloudETLMS SQL ServerPythonSQL
About the role
Key responsibilities & impact- Design, develop, deploy, and support cloud-native data solutions within Microsoft Azure
- Build and maintain scalable data ingestion, transformation, and orchestration pipelines using Azure services and modern integration patterns
- Develop and support integrations between internal applications, third-party vendors, clients, healthcare partners, and external data trading partners
- Design and implement APIs, file exchange processes, and system-to-system integrations
- Collaborate with Application Engineers on data access patterns, integration architectures, and reusable data services
- Create and maintain operational data models supporting application functionality and business processes
- Build and support Azure-based storage platforms, databases, and data services for application and analytics workloads
- Develop secure data exchange processes using APIs, flat files, SFTP, EDI transactions, healthcare interoperability standards, and other mechanisms
- Support real-time and near-real-time data processing requirements
- Design and implement monitoring, alerting, logging, and recovery processes for data pipelines and integrations
- Troubleshoot and resolve data quality, integration, performance, and reliability issues across development, test, and production environments
- Develop automation solutions to improve reliability, consistency, and operational efficiency
- Maintain documentation for integrations, data flows, APIs, pipelines, and supporting technologies
- Participate in architecture discussions and recommend improvements related to scalability, reliability, performance, interoperability, and security
- Use source control, CI/CD pipelines, and DevOps practices to deploy and maintain data solutions
- Ensure compliance with company security standards and healthcare-related regulatory requirements
- Support AI, machine learning, and advanced analytics initiatives through trusted and accessible data assets
- Stay current with Microsoft Azure services, modern data engineering practices, and emerging technologies
Requirements
What you’ll need- Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field preferred, or equivalent professional experience
- Minimum of five years of professional experience in data engineering, data integration, application development, or a related technical discipline
- Strong experience with Microsoft SQL Server and advanced SQL development
- Experience building and supporting ETL/ELT processes and large-scale data integrations
- Experience designing and implementing cloud-based solutions within Microsoft Azure
- Experience with Azure Data Factory, Azure SQL, Storage Accounts, Azure Functions, Logic Apps, or similar Azure services
- Experience developing and consuming RESTful APIs and modern integration technologies
- Strong understanding of relational database design, data integration patterns, and data lifecycle management
- Experience working with source control and DevOps platforms such as Azure DevOps and Git
- Ability to troubleshoot complex technical issues involving data movement, integrations, and system interoperability
- Strong analytical thinking, problem-solving skills, and attention to detail
- Strong written and verbal communication skills with both technical and non-technical stakeholders
- Ability to work independently and collaboratively in a team environment
- Preferred: Experience with Microsoft Fabric, Azure Synapse Analytics, Databricks, or similar cloud data platforms
- Preferred: Experience supporting healthcare, pharmacy benefit management, claims processing, or highly regulated industries
- Preferred: Familiarity with HIPAA, PHI, PII, and healthcare data security requirements
- Preferred: Experience with healthcare interoperability standards such as FHIR, HL7, NCPDP, or EDI transactions
- Preferred: Experience with Python, PowerShell, C#, or other scripting and automation technologies
- Preferred: Experience with event-driven architectures, messaging platforms, and asynchronous integration patterns
- Preferred: Familiarity with Azure Service Bus, Event Grid, Event Hubs, or related technologies
- Preferred: Experience supporting machine learning, AI, or advanced analytics initiatives
- Preferred: Experience with AI-assisted development tools such as GitHub Copilot, Claude Code, Devin, or Windsurf
- Preferred: Experience operating within Agile or iterative software delivery environments
Benefits
Comp & perks- Fully remote work arrangement