Designs, develops, tests, and implements data solutions that enable trusted, scalable, and reliable data products across the organization. Performs hands-on development of data pipelines, transformations, integrations, and related components while ensuring solutions align with established architecture, engineering standards, and business requirements. Partners closely with onshore and offshore development resources to translate technical designs and requirements into high-quality working solutions. Provides technical direction, conducts code reviews, resolves development issues, and helps ensure code is accurate, efficient, maintainable, and delivered in accordance with established standards. Serves as a key technical contributor within a SAFe Agile delivery team, collaborating with Product Management, Architecture, Data Engineering, Quality Engineering, Security, and business stakeholders to deliver data capabilities that meet functional and non-functional requirements. Leverages modern data platforms, cloud-native technologies, data engineering frameworks, and analytics ecosystems to build and enhance data products, pipelines, integrations, and services supporting operational, analytical, and AI-driven business outcomes. Applies DevSecOps principles and engineering best practices throughout the development lifecycle, including source control, CI/CD, automated testing, code quality, observability, security controls, deployment, troubleshooting, and production support. Utilizes AI-assisted development tools and practices to accelerate coding, testing, troubleshooting, documentation, and code review while maintaining appropriate engineering standards and controls. Adheres to and reinforces data management, governance, security, quality, and development standards to ensure solutions are scalable, compliant, supportable, and maintainable.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed