Data Engineer

The Data Engineer will support application development efforts by managing, preparing, transforming, and delivering high-quality data for analytical and operational use.

This role focuses on enabling accurate, reliable, and accessible data to support business decision-making.

The engineer will contribute to development, automation, migration, and virtualization initiatives, including building scalable data pipelines, automating workflows, and supporting environment transitions.

The role requires strong technical competence, problem-solving skills, and the ability to work across data engineering and application development functions.

• Manage, prepare, and transform data for analytics and operational workflows.
• Build reliable data pipelines and workflows to ensure data availability and quality.
• Optimize data structures to support reporting, analytics, and application consumption.
• Ensure adherence to data governance, data quality, and data integrity standards.

• Develop, test, and deploy new software, systems, or technology components.
• Automate manual processes and operational tasks to increase efficiency.
• Support application development with data-driven solutions and automated workflows.
• Troubleshoot and resolve integration or automation-related issues.
• Support data, application, and infrastructure migrations between cloud, hybrid, or on-prem environments.
• Assist in virtualizing servers, operating systems, storage, and network components.
• Ensure secure, accurate, and successful migration execution.

• Collaborate with cross-functional teams including application developers, analysts, architects, and infrastructure teams.
• Document processes, workflows, and technical solutions.
• Ensure data pipelines and workflows follow best practices for scalability, reliability, and performance.
• Support ongoing enhancement, maintenance, and optimization of data systems.

• Strong experience in data engineering, including data preparation, transformation, and pipeline development.
• Experience with software development or automation tasks such as scripting, workflow automation, or systems configuration.
• Experience supporting data or application migration efforts across cloud, on-prem, or hybrid environments.
• Experience with virtualization technologies (servers, operating systems, storage, or network virtualization).
• Strong analytical and problem-solving skills.
• Ability to work independently and collaboratively within cross-functional teams.
• Strong documentation skills and attention to detail.
• Ability to support T&M (Time and Materials)-based professional services engagements.

• Experience with modern data engineering tools, cloud platforms, or scripting languages.
• Experience in professional services or consulting environments.
• Exposure to application development ecosystems and CI/CD workflows.