Data Engineer

This is a fully remote position, open to applicants in Washington.

📋 Description

• Design, create, deploy, and provide support for cloud-native data solutions within the Microsoft Azure environment.

• Construct and uphold scalable data ingestion, transformation, and orchestration pipelines utilizing Azure services and contemporary integration methodologies.

• Develop and facilitate integrations among internal applications, external vendors, clients, healthcare partners, and external data trading entities.

• Design and execute APIs, file exchange procedures, and system-to-system integrations.

• Collaborate with Application Engineers regarding data access patterns, integration architectures, and reusable data services.

• Create and sustain operational data models that underpin application functionality and business processes.

• Develop and support Azure-based storage solutions, databases, and data services tailored for application and analytics workloads.

• Create secure data exchange processes utilizing APIs, flat files, SFTP, EDI transactions, healthcare interoperability standards, and other methods.

• Address real-time and near-real-time data processing requirements.

• Design and implement monitoring, alerting, logging, and recovery protocols for data pipelines and integrations.

• Diagnose and resolve issues related to data quality, integration, performance, and reliability across development, testing, and production environments.

• Develop automation solutions to enhance reliability, consistency, and operational efficiency.

• Maintain thorough documentation for integrations, data flows, APIs, pipelines, and associated technologies.

• Engage in architectural discussions and propose enhancements concerning scalability, reliability, performance, interoperability, and security.

• Utilize source control, CI/CD pipelines, and DevOps practices to deploy and manage data solutions.

• Ensure adherence to company security protocols and healthcare-related regulatory standards.

• Support AI, machine learning, and advanced analytics initiatives by providing reliable and accessible data assets.

• Keep abreast of Microsoft Azure services, modern data engineering practices, and emerging technologies.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field is preferred, or equivalent professional experience.

• At least five years of professional experience in data engineering, data integration, application development, or a related technical area.

• Proficient experience with Microsoft SQL Server and advanced SQL development.

• Experience in building and maintaining ETL/ELT processes and large-scale data integrations.

• Experience in designing and implementing cloud-based solutions on Microsoft Azure.

• Familiarity with Azure Data Factory, Azure SQL, Storage Accounts, Azure Functions, Logic Apps, or other similar Azure services.

• Experience in developing and consuming RESTful APIs alongside modern integration technologies.

• Strong knowledge of relational database design, data integration methodologies, and data lifecycle management.

• Experience with source control and DevOps tools such as Azure DevOps and Git.

• Capability to troubleshoot complex technical issues involving data movement, integrations, and system interoperability.

• Strong analytical thinking, problem-solving abilities, and meticulous attention to detail.

• Excellent written and verbal communication skills with both technical and non-technical audiences.

• Ability to work both independently and collaboratively within a team setting.

• Preferred: Experience with Microsoft Fabric, Azure Synapse Analytics, Databricks, or comparable cloud data platforms.

• Preferred: Experience in supporting healthcare, pharmacy benefit management, claims processing, or highly regulated sectors.

• Preferred: Understanding of HIPAA, PHI, PII, and healthcare data security requirements.

• Preferred: Familiarity 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 similar technologies.

• Preferred: Experience in supporting machine learning, AI, or advanced analytics projects.

• Preferred: Experience with AI-assisted development tools such as GitHub Copilot, Claude Code, Devin, or Windsurf.

• Preferred: Experience working within Agile or iterative software delivery frameworks.

🏝️ Benefits

• Fully remote work arrangement.