Data Engineer (Remote Opportunity)

About this role

We are currently looking for a Data Engineer for a 100% remote position on a large federal government project. This role focuses on designing, developing, and maintaining scalable data solutions that support healthcare operations, analytics, reporting, and data-driven decision-making.

The engineer will work within a collaborative environment to build and optimize data pipelines, integrate data from multiple sources, and support cloud-based data platforms. The ideal candidate is a hands-on data professional with experience developing ETL/ELT processes, managing large-scale datasets, and implementing secure, reliable data solutions that support mission-critical healthcare systems.

The candidate must reside within the continental US.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Build and optimize data solutions within Azure cloud environments, including Azure Synapse and Azure Data Factory.
• Integrate data from multiple sources through APIs and other system integration methods.
• Develop and support data analytics and reporting solutions using Power BI.
• Ensure data quality, integrity, security, and performance across data platforms.
• Collaborate with stakeholders to gather requirements and deliver data-driven solutions supporting healthcare and VA initiatives.
• Manage and track development activities using Agile methodologies and tools such as Jira.
• Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
• 4+ years of experience designing, developing, and supporting data engineering solutions in enterprise data and analytics environments.
• Experience developing data solutions using Python, Spark, SQL, ETL processes, and data warehousing technologies.
• Experience with GitHub, data integration, and data analytics ...