Data Engineer

Brooksource is a trusted IT and Engineering services provider, supporting Fortune 500 organizations through various staffing solutions. They are seeking an AI Data Engineer to design, develop, and maintain scalable data-driven software solutions while collaborating with cross-functional teams to address healthcare and business challenges.

Responsibilities:

• Design, develop, test, deploy, maintain, and continuously improve scalable data-driven software solutions that support customer and business needs
• Build and maintain data aggregation, integration, and transformation pipelines across multiple enterprise data sources
• Develop solutions leveraging large-scale data platforms including Snowflake, Oracle, and cloud-based data services
• Create and maintain APIs, services, and applications that enable seamless data access and integration across systems
• Support AI-powered and automation initiatives by preparing, integrating, and optimizing data for analytics, machine learning, and conversational AI solutions
• Partner with product management, architects, and engineering leadership to deliver scalable cloud-based solutions addressing healthcare and business challenges
• Contribute to cloud infrastructure and modernization initiatives utilizing AWS and/or GCP technologies
• Develop Infrastructure as Code (IaC) solutions using Terraform to support deployment automation and environment management
• Collaborate with cross-functional teams to design and implement data integration strategies for enterprise platforms and applications
• Support development of agent-based user interfaces and conversational experiences to improve customer and operational workflows
• Ensure adherence to security, governance, monitoring, and operational best practices across data and application environments
• Mentor team members on cloud technologies, data engineering best practices, and modern integration patterns
• Exercise independent judgment to prioritize, plan, and manage technical initiatives and project deliverables

Requirements:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience
• 6+ years of software engineering, data engineering, or application development experience
• 4+ years of experience building and maintaining large-scale data integration, aggregation, and transformation solutions
• Strong experience working with enterprise data platforms such as Snowflake, Oracle, or similar large-scale data environments
• Experience designing and developing APIs, web services, and system integrations
• Experience with Infrastructure as Code (IaC), including Terraform
• Strong programming experience in Python and/or Java
• 4+ years of experience deploying and supporting solutions in cloud environments (AWS preferred, GCP exposure highly desirable)
• Experience supporting data pipelines, ETL/ELT workflows, and enterprise data architecture
• Strong knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations
• Experience with Snowflake data warehousing and cloud-native data platforms
• Exposure to Google Cloud Platform (GCP)
• Experience building agent-based UI experiences, conversational applications, or AI-enabled business solutions
• Healthcare industry and/or contact center technology experience
• Experience supporting customer service, provider operations, or healthcare data environments
• Full-stack engineering experience
• Familiarity with AI/ML applications, data preparation, and analytics workflows