Data Engineer (Azure)

TL;DR

Data Engineer (Azure): Designing, developing, and maintaining scalable data solutions for federal healthcare initiatives with an accent on ETL/ELT processes and cloud-based data platforms. Focus on building robust data pipelines, integrating complex data sources, and ensuring high performance and security within Azure environments.

Location: Must reside within the continental US

Company

hirify.global is a professional services firm providing technology and consulting solutions, primarily supporting federal government and healthcare programs.

What you will do

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Build and optimize data solutions using Azure Synapse and Azure Data Factory.
• Integrate data from multiple sources via APIs and other integration methods.
• Develop analytics and reporting solutions using Power BI.
• Ensure data quality, integrity, security, and performance across platforms.
• Collaborate with stakeholders to deliver data-driven solutions for healthcare initiatives.

Requirements

• Must reside within the continental US
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in enterprise data engineering and analytics.
• Proficiency in Python, Spark, SQL, and data warehousing technologies.
• Experience supporting Federal government programs or consulting engagements.
• Ability to obtain and maintain a Public Trust clearance.
• No sponsorship available

Nice to have

• Experience with VA platforms like CX Insights or Lighthouse APIs.
• Knowledge of Azure cloud-native services and modern data architectures.
• Experience with Agile methodologies and Jira.

Culture & Benefits

• Comprehensive medical, dental, and vision insurance.
• 401(k) plan with employer match.
• Paid Time Off (PTO) and paid federal holidays.
• Professional development and training opportunities.
• 100% remote work environment.

Hiring process

• Background check and fingerprinting at a government facility required.